Index (Flink ML 2.4-SNAPSHOT API)

A B C D E F G H I J K L M N O P Q R S T U V W

A

abort(long) - Method in class org.apache.flink.iteration.checkpoint.Checkpoints
AbstractAllRoundWrapperOperator<T,S extends org.apache.flink.streaming.api.operators.StreamOperator<T>> - Class in org.apache.flink.iteration.operator.allround: The base class for the all-round wrapper operators.
AbstractAllRoundWrapperOperator(StreamOperatorParameters<IterationRecord<T>>, StreamOperatorFactory<T>) - Constructor for class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
AbstractBroadcastWrapperOperator<T,S extends org.apache.flink.streaming.api.operators.StreamOperator<T>> - Class in org.apache.flink.ml.common.broadcast.operator: Base class for the broadcast wrapper operators.
AbstractPerRoundWrapperOperator<T,S extends org.apache.flink.streaming.api.operators.StreamOperator<T>> - Class in org.apache.flink.iteration.operator.perround: The base class for all the per-round wrapper operators.
AbstractPerRoundWrapperOperator(StreamOperatorParameters<IterationRecord<T>>, StreamOperatorFactory<T>) - Constructor for class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
AbstractWrapperOperator<T> - Class in org.apache.flink.iteration.operator: The base class of all the wrapper operators.
AbstractWrapperOperator(StreamOperatorParameters<IterationRecord<T>>, StreamOperatorFactory<T>) - Constructor for class org.apache.flink.iteration.operator.AbstractWrapperOperator
add(T) - Method in class org.apache.flink.iteration.datacache.nonkeyed.ListStateWithCache
add(Object) - Method in class org.apache.flink.ml.servable.api.Row: Adds the value to the end of this row and returns this row.
addAlgoOperator(AlgoOperator<?>, TableId...) - Method in class org.apache.flink.ml.builder.GraphBuilder: Adds an AlgoOperator in the graph.
addAll(List<T>) - Method in class org.apache.flink.iteration.datacache.nonkeyed.ListStateWithCache
addColumn(String, DataType, List<?>) - Method in class org.apache.flink.ml.servable.api.DataFrame: Adds to this DataFrame a column with the given name, data type, and values.
addDraftSource(DataStream<?>, TypeInformation<T>) - Method in class org.apache.flink.iteration.compile.DraftExecutionEnvironment
addEstimator(Estimator<?, ?>, TableId...) - Method in class org.apache.flink.ml.builder.GraphBuilder: Adds an Estimator in the graph.
addEstimator(Estimator<?, ?>, TableId[], TableId[]) - Method in class org.apache.flink.ml.builder.GraphBuilder: Adds an Estimator in the graph.
addOperator(Transformation<?>) - Method in class org.apache.flink.iteration.compile.DraftExecutionEnvironment
addOperatorIfNotExists(Transformation<?>) - Method in class org.apache.flink.iteration.compile.DraftExecutionEnvironment
addRecord(T) - Method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheWriter
advanceWatermark(Watermark) - Method in class org.apache.flink.iteration.proxy.state.ProxyInternalTimeServiceManager
AgglomerativeClustering - Class in org.apache.flink.ml.clustering.agglomerativeclustering: An AlgoOperator that performs a hierarchical clustering using a bottom-up approach.
AgglomerativeClustering() - Constructor for class org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClustering
AgglomerativeClusteringExample - Class in org.apache.flink.ml.examples.clustering: Simple program that creates an AgglomerativeClustering instance and uses it for clustering.
AgglomerativeClusteringExample() - Constructor for class org.apache.flink.ml.examples.clustering.AgglomerativeClusteringExample
AgglomerativeClusteringParams<T> - Interface in org.apache.flink.ml.clustering.agglomerativeclustering: Params of AgglomerativeClustering.
aggregate(DataStream<IN>, AggregateFunction<IN, ACC, OUT>) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: Aggregates the elements in each partition of the input bounded stream, and then merges the partial results of all partitions.
aggregate(DataStream<IN>, AggregateFunction<IN, ACC, OUT>, TypeInformation<ACC>, TypeInformation<OUT>) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: Aggregates the elements in each partition of the input bounded stream, and then merges the partial results of all partitions.
AlgoOperator<T extends AlgoOperator<T>> - Interface in org.apache.flink.ml.api: An AlgoOperator takes a list of tables as inputs and produces a list of tables as results.
algoOpInputIds - Variable in class org.apache.flink.ml.builder.GraphNode
ALIGN_NOTIFY_OUTPUT_TAG - Static variable in class org.apache.flink.iteration.operator.HeadOperator
allReduceSum(DataStream<double[]>) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: Applies allReduceSum on the input data stream.
AllRoundOperatorWrapper<T> - Class in org.apache.flink.iteration.operator.allround: The operator wrapper implementation for all-round wrappers.
AllRoundOperatorWrapper() - Constructor for class org.apache.flink.iteration.operator.allround.AllRoundOperatorWrapper
ALPHA - Static variable in interface org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionParams
ALPHA1 - Static variable in interface org.apache.flink.ml.recommendation.swing.SwingParams
ALPHA2 - Static variable in interface org.apache.flink.ml.recommendation.swing.SwingParams
ALPHABET_ASC_ORDER - Static variable in interface org.apache.flink.ml.feature.stringindexer.StringIndexerParams
ALPHABET_DESC_ORDER - Static variable in interface org.apache.flink.ml.feature.stringindexer.StringIndexerParams
alwaysTrue() - Static method in class org.apache.flink.ml.param.ParamValidators
andNotReplay(DataStream<?>...) - Method in class org.apache.flink.iteration.ReplayableDataStreamList.ReplayedDataStreamList
ANOVATest - Class in org.apache.flink.ml.stats.anovatest: An AlgoOperator which implements the ANOVA test algorithm.
ANOVATest() - Constructor for class org.apache.flink.ml.stats.anovatest.ANOVATest
ANOVATestParams<T> - Interface in org.apache.flink.ml.stats.anovatest: Params for ANOVATest.
append(T) - Method in class org.apache.flink.iteration.checkpoint.Checkpoints
append(Row, Object) - Static method in class org.apache.flink.ml.util.RowUtils: Creates a new row with fields that are copied from the existing one, and appends a new filed with the specific value.
applyToAllKeys(N, TypeSerializer<N>, StateDescriptor<S, T>, KeyedStateFunction<K, S>) - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
ARBITRARY_ORDER - Static variable in interface org.apache.flink.ml.feature.stringindexer.StringIndexerParams
AREA_UNDER_LORENZ - Static variable in interface org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluatorParams
AREA_UNDER_PR - Static variable in interface org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluatorParams
AREA_UNDER_ROC - Static variable in interface org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluatorParams
areaUnderLorenz - Variable in class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator.BinaryMetrics
areaUnderPR - Variable in class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator.BinaryMetrics
areaUnderROC - Variable in class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator.BinaryMetrics
areBroadcastVariablesReady() - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: Checks whether all broadcast variables are ready.
ARITY - Static variable in class org.apache.flink.ml.benchmark.datagenerator.common.DoubleGenerator
ARRAY_SIZE - Static variable in interface org.apache.flink.ml.benchmark.datagenerator.param.HasArraySize
ArrayArrayParam<T> - Class in org.apache.flink.ml.param: Class for the array parameter.
ArrayArrayParam(String, Class<T[][]>, String, T[][], ParamValidator<T[][]>) - Constructor for class org.apache.flink.ml.param.ArrayArrayParam
ArrayParam<T> - Class in org.apache.flink.ml.param: Class for the array parameter.
ArrayParam(String, Class<T[]>, String, T[], ParamValidator<T[]>) - Constructor for class org.apache.flink.ml.param.ArrayParam
arrayToVector(Object...) - Static method in class org.apache.flink.ml.Functions: Converts a column of arrays of numeric type into a column of DenseVector instances.
ArrayToVectorExample - Class in org.apache.flink.ml.examples: Simple program that converts a column of double arrays into a column of dense vectors.
ArrayToVectorExample() - Constructor for class org.apache.flink.ml.examples.ArrayToVectorExample
ArrayToVectorFunction() - Constructor for class org.apache.flink.ml.Functions.ArrayToVectorFunction
assignWindows(Object, long, WindowAssigner.WindowAssignerContext) - Method in class org.apache.flink.ml.common.datastream.EndOfStreamWindows
asum(DenseVector) - Static method in class org.apache.flink.ml.linalg.BLAS: \sum_i |x_i| .
axpy(double, Vector, DenseVector) - Static method in class org.apache.flink.ml.linalg.BLAS: y += a * x .
axpy(double, Vector, DenseVector, int) - Static method in class org.apache.flink.ml.linalg.BLAS: y += a * x for the first k dimensions, with the other dimensions unchanged.

B

BasicType - Enum in org.apache.flink.ml.servable.types: This enum class lists primitive types such as boolean, int, long, etc.
BATCH_STRATEGY - Static variable in interface org.apache.flink.ml.common.param.HasBatchStrategy
Benchmark - Class in org.apache.flink.ml.benchmark: Entry class for benchmark execution.
Benchmark() - Constructor for class org.apache.flink.ml.benchmark.Benchmark
BenchmarkResult - Class in org.apache.flink.ml.benchmark: The result of executing a benchmark.
BenchmarkResult(String, Double, Long, Double, Long, Double) - Constructor for class org.apache.flink.ml.benchmark.BenchmarkResult
BenchmarkUtils - Class in org.apache.flink.ml.benchmark: Utility methods for benchmarks.
BenchmarkUtils() - Constructor for class org.apache.flink.ml.benchmark.BenchmarkUtils
BETA - Static variable in interface org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionParams
BETA - Static variable in interface org.apache.flink.ml.recommendation.swing.SwingParams
Binarizer - Class in org.apache.flink.ml.feature.binarizer: A Transformer that binarizes the columns of continuous features by the given thresholds.
Binarizer() - Constructor for class org.apache.flink.ml.feature.binarizer.Binarizer
BinarizerExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a Binarizer instance and uses it for feature engineering.
BinarizerExample() - Constructor for class org.apache.flink.ml.examples.feature.BinarizerExample
BinarizerParams<T> - Interface in org.apache.flink.ml.feature.binarizer: Params of Binarizer.
BINARY - Static variable in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelParams
BINARY - Static variable in interface org.apache.flink.ml.feature.hashingtf.HashingTFParams: Supported options to decide whether each dimension of the output vector is binary or not.
BinaryClassificationEvaluator - Class in org.apache.flink.ml.evaluation.binaryclassification: An AlgoOperator which calculates the evaluation metrics for binary classification.
BinaryClassificationEvaluator() - Constructor for class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator
BinaryClassificationEvaluator.BinaryMetrics - Class in org.apache.flink.ml.evaluation.binaryclassification: The evaluation metrics for binary classification.
BinaryClassificationEvaluator.BinarySummary - Class in org.apache.flink.ml.evaluation.binaryclassification: Binary Summary of data in one worker.
BinaryClassificationEvaluatorExample - Class in org.apache.flink.ml.examples.evaluation: Simple program that creates a BinaryClassificationEvaluator instance and uses it for evaluation.
BinaryClassificationEvaluatorExample() - Constructor for class org.apache.flink.ml.examples.evaluation.BinaryClassificationEvaluatorExample
BinaryClassificationEvaluatorParams<T> - Interface in org.apache.flink.ml.evaluation.binaryclassification: Params of BinaryClassificationEvaluator.
BinaryLogisticLoss - Class in org.apache.flink.ml.common.lossfunc: The loss function for binary logistic loss.
BinaryMetrics() - Constructor for class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator.BinaryMetrics
BinaryMetrics(long, double) - Constructor for class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator.BinaryMetrics
BinarySummary() - Constructor for class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator.BinarySummary
BinarySummary(Integer, double, long, long) - Constructor for class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator.BinarySummary
binEdges - Variable in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModelData: The edges of bins for each column, e.g., binEdges[0] is the edges for features at 0-th dimension.
Bits - Class in org.apache.flink.ml.util: Utility methods for packing/unpacking primitive values in/out of byte arrays using big-endian byte ordering.
Bits() - Constructor for class org.apache.flink.ml.util.Bits
BLAS - Class in org.apache.flink.ml.linalg: A utility class that provides BLAS routines over matrices and vectors.
BLAS() - Constructor for class org.apache.flink.ml.linalg.BLAS
BOOLEAN - Static variable in class org.apache.flink.ml.servable.types.DataTypes
BooleanParam - Class in org.apache.flink.ml.param: Class for the boolean parameter.
BooleanParam(String, String, Boolean, ParamValidator<Boolean>) - Constructor for class org.apache.flink.ml.param.BooleanParam
BooleanParam(String, String, Boolean) - Constructor for class org.apache.flink.ml.param.BooleanParam
BroadcastContext - Class in org.apache.flink.ml.common.broadcast: Context to hold the broadcast variables and provides some utility function for accessing broadcast variables.
BroadcastContext() - Constructor for class org.apache.flink.ml.common.broadcast.BroadcastContext
broadcastEmit(StreamRecord<OUT>) - Method in interface org.apache.flink.iteration.broadcast.BroadcastOutput: Broadcasts the record to all the downstream operators.
broadcastEmit(StreamRecord<OUT>) - Method in class org.apache.flink.iteration.broadcast.ChainingBroadcastOutput
broadcastEmit(StreamRecord<OUT>) - Method in class org.apache.flink.iteration.broadcast.CountingBroadcastOutput
broadcastEmit(StreamRecord<OUT>) - Method in class org.apache.flink.iteration.broadcast.RecordWriterBroadcastOutput
BroadcastOutput<OUT> - Interface in org.apache.flink.iteration.broadcast: Wrapper output that broadcasts the records to all the downstream operators.
broadcastOutput(StreamRecord<IterationRecord<?>>) - Method in interface org.apache.flink.iteration.operator.headprocessor.HeadOperatorRecordProcessor.Context
BroadcastOutputFactory - Class in org.apache.flink.iteration.broadcast: Factory that creates the corresponding BroadcastOutput from the Output.
BroadcastOutputFactory() - Constructor for class org.apache.flink.iteration.broadcast.BroadcastOutputFactory
BroadcastStateTransformationTranslator - Class in org.apache.flink.iteration.compile.translator: Draft translator for the BroadcastStateTransformation.
BroadcastStateTransformationTranslator() - Constructor for class org.apache.flink.iteration.compile.translator.BroadcastStateTransformationTranslator
BroadcastStreamingRuntimeContext - Class in org.apache.flink.ml.common.broadcast: An subclass of StreamingRuntimeContext that provides accessibility of broadcast variables.
BroadcastStreamingRuntimeContext(Environment, Map<String, Accumulator<?, ?>>, OperatorMetricGroup, OperatorID, ProcessingTimeService, KeyedStateStore, ExternalResourceInfoProvider) - Constructor for class org.apache.flink.ml.common.broadcast.BroadcastStreamingRuntimeContext
BroadcastUtils - Class in org.apache.flink.ml.common.broadcast: Utility class to support withBroadcast in DataStream.
BroadcastUtils() - Constructor for class org.apache.flink.ml.common.broadcast.BroadcastUtils
BroadcastVariableReceiverOperator<OUT> - Class in org.apache.flink.ml.common.broadcast.operator: The operator that process all broadcast inputs and stores them in BroadcastContext.
BroadcastVariableReceiverOperatorFactory<OUT> - Class in org.apache.flink.ml.common.broadcast.operator: Factory class for BroadcastVariableReceiverOperator.
BroadcastVariableReceiverOperatorFactory(String[], TypeInformation<?>[]) - Constructor for class org.apache.flink.ml.common.broadcast.operator.BroadcastVariableReceiverOperatorFactory
BroadcastWrapper<T> - Class in org.apache.flink.ml.common.broadcast.operator: The operator wrapper for AbstractBroadcastWrapperOperator.
BroadcastWrapper(String[]) - Constructor for class org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper
Bucketizer - Class in org.apache.flink.ml.feature.bucketizer: A Transformer that maps multiple columns of continuous features to multiple columns of discrete features, i.e., buckets indices.
Bucketizer() - Constructor for class org.apache.flink.ml.feature.bucketizer.Bucketizer
BucketizerExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a Bucketizer instance and uses it for feature engineering.
BucketizerExample() - Constructor for class org.apache.flink.ml.examples.feature.BucketizerExample
BucketizerParams<T> - Interface in org.apache.flink.ml.feature.bucketizer: Params for Bucketizer.
BucketizerParams.SplitsArrayValidator - Class in org.apache.flink.ml.feature.bucketizer: Param validator for splitsArray.
build() - Method in class org.apache.flink.iteration.IterationConfig.IterationConfigBuilder
buildAlgoOperator(TableId[], TableId[]) - Method in class org.apache.flink.ml.builder.GraphBuilder: Wraps nodes of the graph into an AlgoOperator.
buildEstimator(TableId[], TableId[]) - Method in class org.apache.flink.ml.builder.GraphBuilder: Wraps nodes of the graph into an Estimator.
buildEstimator(TableId[], TableId[], TableId[], TableId[]) - Method in class org.apache.flink.ml.builder.GraphBuilder: Wraps nodes of the graph into an Estimator.
buildEstimator(TableId[], TableId[], TableId[], TableId[], TableId[]) - Method in class org.apache.flink.ml.builder.GraphBuilder: Wraps nodes of the graph into an Estimator.
buildModel(TableId[], TableId[]) - Method in class org.apache.flink.ml.builder.GraphBuilder: Wraps nodes of the graph into a Model.
buildModel(TableId[], TableId[], TableId[], TableId[]) - Method in class org.apache.flink.ml.builder.GraphBuilder: Wraps nodes of the graph into a Model.
BYTE - Static variable in class org.apache.flink.ml.servable.types.DataTypes
BYTE_STRING - Static variable in class org.apache.flink.ml.servable.types.DataTypes

C

CacheElement<T> - Class in org.apache.flink.ml.common.broadcast.typeinfo: The wrapper class for possible cached elements used in AbstractBroadcastWrapperOperator.
CacheElement(T, long, CacheElement.Type) - Constructor for class org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
CacheElement.Type - Enum in org.apache.flink.ml.common.broadcast.typeinfo: The type of cached elements.
CacheElementSerializer<T> - Class in org.apache.flink.ml.common.broadcast.typeinfo: TypeSerializer for CacheElement.
CacheElementSerializer(TypeSerializer<T>) - Constructor for class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
CacheElementTypeInfo<T> - Class in org.apache.flink.ml.common.broadcast.typeinfo: TypeInformation for CacheElement.
CacheElementTypeInfo(TypeInformation<T>) - Constructor for class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
callMethod(Object, Class<?>, String) - Static method in class org.apache.flink.iteration.utils.ReflectionUtils
callMethod(Object, Class<?>, String, List<Class<?>>, List<Object>) - Static method in class org.apache.flink.iteration.utils.ReflectionUtils
callMethod(Object, Class<?>, String, Object[]) - Static method in class org.apache.flink.iteration.utils.ReflectionUtils: The utility method to call method with the specific name.
cancel() - Method in class org.apache.flink.iteration.compile.DraftExecutionEnvironment.EmptySource
cancel() - Method in class org.apache.flink.ml.benchmark.datagenerator.common.RowGenerator
cancel() - Method in class org.apache.flink.ml.examples.util.PeriodicSourceFunction
canEqual(Object) - Method in class org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo
canEqual(Object) - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
canEqual(Object) - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueTypeInfo
canEqual(Object) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfo
canEqual(Object) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfo
canEqual(Object) - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfo
canEqual(Object) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfo
canEqual(Object) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormTypeInfo
CASE_SENSITIVE - Static variable in interface org.apache.flink.ml.feature.stopwordsremover.StopWordsRemoverParams
CATEGORICAL - Static variable in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
CATEGORICAL_COLS - Static variable in interface org.apache.flink.ml.common.param.HasCategoricalCols
categoryMaps - Variable in class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModelData: Index of feature values.
centroids - Variable in class org.apache.flink.ml.clustering.kmeans.KMeansModelData
ChainingBroadcastOutput<OUT> - Class in org.apache.flink.iteration.broadcast: The broadcast output corresponding to a chained output.
checkpointCoordinator(long, CompletableFuture<byte[]>) - Method in class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator
Checkpoints<T> - Class in org.apache.flink.iteration.checkpoint: Maintains the pending checkpoints.
Checkpoints(TypeSerializer<T>, FileSystem, SupplierWithException<Path, IOException>) - Constructor for class org.apache.flink.iteration.checkpoint.Checkpoints
CheckpointsBroker - Class in org.apache.flink.iteration.checkpoint: Hand offs the Checkpoints from the head operator to the tail operator so that the tail operator could decrease the reference count of the raw state when checkpoints are aborted.
CheckpointsBroker() - Constructor for class org.apache.flink.iteration.checkpoint.CheckpointsBroker
ChiSqTest - Class in org.apache.flink.ml.stats.chisqtest: An AlgoOperator which implements the Chi-square test algorithm.
ChiSqTest() - Constructor for class org.apache.flink.ml.stats.chisqtest.ChiSqTest
ChiSqTestExample - Class in org.apache.flink.ml.examples.stats: Simple program that creates a ChiSqTest instance and uses it for statistics.
ChiSqTestExample() - Constructor for class org.apache.flink.ml.examples.stats.ChiSqTestExample
ChiSqTestParams<T> - Interface in org.apache.flink.ml.stats.chisqtest: Params for ChiSqTest.
clazz - Variable in class org.apache.flink.ml.param.Param
clear() - Method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheWriter: Removes all previously added records.
clear() - Method in class org.apache.flink.iteration.datacache.nonkeyed.ListStateWithCache
clearIterationContextRound() - Method in class org.apache.flink.iteration.operator.AbstractWrapperOperator
clone() - Method in class org.apache.flink.iteration.IterationRecord
clone() - Method in class org.apache.flink.ml.linalg.DenseVector
clone() - Method in class org.apache.flink.ml.linalg.SparseVector
clone() - Method in interface org.apache.flink.ml.linalg.Vector: Makes a deep copy of the vector.
cloneWithReservedFields(Row, int) - Static method in class org.apache.flink.ml.util.RowUtils: Creates a new row with fields that are copied from the existing one, and reserves some empty fields for further writing.
close() - Method in class org.apache.flink.iteration.checkpoint.Checkpoints
close() - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
close() - Method in class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator
close() - Method in class org.apache.flink.iteration.operator.HeadOperator
close() - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
close() - Method in class org.apache.flink.iteration.operator.TailOperator
close() - Method in class org.apache.flink.iteration.proxy.ProxyOutput
close() - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
close() - Method in class org.apache.flink.iteration.proxy.state.ProxyOperatorStateBackend
close() - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
close() - Method in class org.apache.flink.ml.common.datastream.sort.CoGroupOperator
closeStreamOperator(S, int, int) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
closeStreamOperator(MultipleInputStreamOperator<OUT>, int, int) - Method in class org.apache.flink.iteration.operator.perround.MultipleInputPerRoundWrapperOperator
coefficient - Variable in class org.apache.flink.ml.classification.linearsvc.LinearSVCModelData
coefficient - Variable in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData
coefficient - Variable in class org.apache.flink.ml.regression.linearregression.LinearRegressionModelData
coGroup(DataStream<IN1>, DataStream<IN2>, KeySelector<IN1, KEY>, KeySelector<IN2, KEY>, TypeInformation<OUT>, CoGroupFunction<IN1, IN2, OUT>) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: A CoGroup transformation combines the elements of two DataStreams into one DataStream.
CoGroupOperator<IN1,IN2,KEY extends Serializable,OUT> - Class in org.apache.flink.ml.common.datastream.sort: An operator that implements the co-group logic.
CoGroupOperator(CoGroupFunction<IN1, IN2, OUT>) - Constructor for class org.apache.flink.ml.common.datastream.sort.CoGroupOperator
COL_NAMES - Static variable in interface org.apache.flink.ml.benchmark.datagenerator.InputDataGenerator
collect(OutputTag<X>, StreamRecord<X>) - Method in class org.apache.flink.iteration.proxy.ProxyOutput
collect(StreamRecord<T>) - Method in class org.apache.flink.iteration.proxy.ProxyOutput
collect() - Method in class org.apache.flink.ml.servable.api.DataFrame: Returns all rows of this table.
commitCheckpointsUntil(long) - Method in class org.apache.flink.iteration.checkpoint.Checkpoints
compare(Tuple2<byte[], StreamRecord<IN>>, Tuple2<byte[], StreamRecord<IN>>) - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
compare(Tuple2<byte[], StreamRecord<IN>>, Tuple2<byte[], StreamRecord<IN>>) - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
compareSerialized(DataInputView, DataInputView) - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
compareSerialized(DataInputView, DataInputView) - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
compareToReference(TypeComparator<Tuple2<byte[], StreamRecord<IN>>>) - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
compareToReference(TypeComparator<Tuple2<byte[], StreamRecord<IN>>>) - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
compress() - Method in class org.apache.flink.ml.common.util.QuantileSummary: Returns a new summary that compresses the summary statistics and the head buffer.
COMPUTE_FULL_TREE - Static variable in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
computeGradient(LabeledPointWithWeight, DenseVector, DenseVector) - Method in class org.apache.flink.ml.common.lossfunc.BinaryLogisticLoss
computeGradient(LabeledPointWithWeight, DenseVector, DenseVector) - Method in class org.apache.flink.ml.common.lossfunc.HingeLoss
computeGradient(LabeledPointWithWeight, DenseVector, DenseVector) - Method in class org.apache.flink.ml.common.lossfunc.LeastSquareLoss
computeGradient(LabeledPointWithWeight, DenseVector, DenseVector) - Method in interface org.apache.flink.ml.common.lossfunc.LossFunc: Computes the gradient on the given data point and adds the computed gradient to cumGradient.
computeLoss(LabeledPointWithWeight, DenseVector) - Method in class org.apache.flink.ml.common.lossfunc.BinaryLogisticLoss
computeLoss(LabeledPointWithWeight, DenseVector) - Method in class org.apache.flink.ml.common.lossfunc.HingeLoss
computeLoss(LabeledPointWithWeight, DenseVector) - Method in class org.apache.flink.ml.common.lossfunc.LeastSquareLoss
computeLoss(LabeledPointWithWeight, DenseVector) - Method in interface org.apache.flink.ml.common.lossfunc.LossFunc: Computes the loss on the given data point.
configure(int) - Method in class org.apache.flink.iteration.proxy.ProxyStreamPartitioner
containingTask - Variable in class org.apache.flink.iteration.operator.AbstractWrapperOperator
containingTask - Variable in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
CONTINUOUS - Static variable in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
CoordinatorCheckpointEvent - Class in org.apache.flink.iteration.operator.event: Coordinator received the request of checkpoints.
CoordinatorCheckpointEvent(long) - Constructor for class org.apache.flink.iteration.operator.event.CoordinatorCheckpointEvent
copy() - Method in class org.apache.flink.iteration.proxy.ProxyStreamPartitioner
copy(IterationRecord<T>) - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
copy(IterationRecord<T>, IterationRecord<T>) - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
copy(DataInputView, DataOutputView) - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
copy(CacheElement<T>) - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
copy(CacheElement<T>, CacheElement<T>) - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
copy(DataInputView, DataOutputView) - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
copy(Tuple2<byte[], StreamRecord<IN>>) - Method in class org.apache.flink.ml.common.datastream.sort.KeyAndValueSerializer
copy(Tuple2<byte[], StreamRecord<IN>>, Tuple2<byte[], StreamRecord<IN>>) - Method in class org.apache.flink.ml.common.datastream.sort.KeyAndValueSerializer
copy(DataInputView, DataOutputView) - Method in class org.apache.flink.ml.common.datastream.sort.KeyAndValueSerializer
copy(PriorityQueue<T>) - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueSerializer
copy(PriorityQueue<T>, PriorityQueue<T>) - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueSerializer
copy(DataInputView, DataOutputView) - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueSerializer
copy(DenseMatrix) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixSerializer
copy(DenseMatrix, DenseMatrix) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixSerializer
copy(DataInputView, DataOutputView) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixSerializer
copy(DenseVector) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer
copy(DenseVector, DenseVector) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer
copy(DataInputView, DataOutputView) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer
copy(SparseVector) - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorSerializer
copy(SparseVector, SparseVector) - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorSerializer
copy(DataInputView, DataOutputView) - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorSerializer
copy(Vector) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorSerializer
copy(Vector, Vector) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorSerializer
copy(DataInputView, DataOutputView) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorSerializer
copy(VectorWithNorm) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormSerializer
copy(VectorWithNorm, VectorWithNorm) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormSerializer
copy(DataInputView, DataOutputView) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormSerializer
copyProperties(Transformation<?>, Transformation<?>) - Method in interface org.apache.flink.iteration.compile.DraftTransformationTranslator.Context
copyToActualEnvironment() - Method in class org.apache.flink.iteration.compile.DraftExecutionEnvironment
CosineDistanceMeasure - Class in org.apache.flink.ml.common.distance: Cosine distance between two vectors.
count - Variable in class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator.BinaryMetrics
COUNT_STRATEGY - Static variable in interface org.apache.flink.ml.common.param.HasBatchStrategy: Strategy to create mini batches with a fixed batch size.
CountingBroadcastOutput<OUT> - Class in org.apache.flink.iteration.broadcast: The intermediate broadcast output that wrappers a list of internal outputs.
CountingBroadcastOutput(Counter, List<BroadcastOutput<OUT>>) - Constructor for class org.apache.flink.iteration.broadcast.CountingBroadcastOutput
CountTumblingWindows - Class in org.apache.flink.ml.common.window: A windowing strategy that groups elements into fixed-size windows based on the count number of the elements.
CountVectorizer - Class in org.apache.flink.ml.feature.countvectorizer: An Estimator which converts a collection of text documents to vectors of token counts.
CountVectorizer() - Constructor for class org.apache.flink.ml.feature.countvectorizer.CountVectorizer
CountVectorizerExample - Class in org.apache.flink.ml.examples.feature: Simple program that trains a CountVectorizer model and uses it for feature engineering.
CountVectorizerExample() - Constructor for class org.apache.flink.ml.examples.feature.CountVectorizerExample
CountVectorizerModel - Class in org.apache.flink.ml.feature.countvectorizer: A Model which transforms data using the model data computed by CountVectorizer.
CountVectorizerModel() - Constructor for class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModel
CountVectorizerModelData - Class in org.apache.flink.ml.feature.countvectorizer: Model data of CountVectorizerModel.
CountVectorizerModelData() - Constructor for class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelData
CountVectorizerModelData(String[]) - Constructor for class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelData
CountVectorizerModelData.ModelDataDecoder - Class in org.apache.flink.ml.feature.countvectorizer: Decoder for CountVectorizerModelData.
CountVectorizerModelData.ModelDataEncoder - Class in org.apache.flink.ml.feature.countvectorizer: Encoder for CountVectorizerModelData.
CountVectorizerModelParams<T> - Interface in org.apache.flink.ml.feature.countvectorizer: Params for CountVectorizerModel.
CountVectorizerParams<T> - Interface in org.apache.flink.ml.feature.countvectorizer: Params of CountVectorizer.
create(OperatorCoordinator.Context) - Method in class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator.HeadOperatorCoordinatorProvider
create(StreamConfig, StreamTask<?, ?>, OperatorEpochWatermarkTrackerListener) - Static method in class org.apache.flink.iteration.progresstrack.OperatorEpochWatermarkTrackerFactory
create(String, TypeSerializer<T>) - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
createBroadcastOutput(Output<StreamRecord<OUT>>, Counter) - Static method in class org.apache.flink.iteration.broadcast.BroadcastOutputFactory: Creates the wrapper broadcast output from output.
createDataCacheFileGenerator(Path, String, OperatorID) - Static method in class org.apache.flink.iteration.operator.OperatorUtils
createFeedbackKey(IterationID, int) - Static method in class org.apache.flink.iteration.operator.OperatorUtils: Creates FeedbackKey from the iterationId and feedbackIndex.
createInstance() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
createInstance() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
createInstance() - Method in class org.apache.flink.ml.common.datastream.sort.KeyAndValueSerializer
createInstance() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueSerializer
createInstance() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixSerializer
createInstance() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer
createInstance() - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorSerializer
createInstance() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorSerializer
createInstance() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormSerializer
createModel(DataStream<Integer>, StreamTableEnvironment) - Method in class org.apache.flink.ml.feature.lsh.MinHashLSH
createNewDescriptor(StateDescriptor<S, T>) - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
createOrUpdateInternalState(TypeSerializer<N>, StateDescriptor<S, SV>, StateSnapshotTransformer.StateSnapshotTransformFactory<SEV>) - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.classification.knn.KnnModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.classification.linearsvc.LinearSVCModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelDataUtil.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.clustering.kmeans.KMeansModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.feature.idf.IDFModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.feature.imputer.ImputerModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModelData.ModelDataStreamFormat
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.feature.robustscaler.RobustScalerModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.feature.standardscaler.StandardScalerModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.feature.stringindexer.StringIndexerModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModelData.ModelDataDecoder
createReader(Configuration, FSDataInputStream) - Method in class org.apache.flink.ml.regression.linearregression.LinearRegressionModelData.ModelDataDecoder
createSerializer(ExecutionConfig) - Method in class org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo
createSerializer(ExecutionConfig) - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
createSerializer(ExecutionConfig) - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueTypeInfo
createSerializer(ExecutionConfig) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfo
createSerializer(ExecutionConfig) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfo
createSerializer(ExecutionConfig) - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfo
createSerializer(ExecutionConfig) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfo
createSerializer(ExecutionConfig) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormTypeInfo
createStreamOperator(StreamOperatorParameters<IterationRecord<?>>) - Method in class org.apache.flink.iteration.operator.HeadOperatorFactory
createStreamOperator(StreamOperatorParameters<IterationRecord<OUT>>) - Method in class org.apache.flink.iteration.operator.WrapperOperatorFactory
createStreamOperator(StreamOperatorParameters<OUT>) - Method in class org.apache.flink.ml.common.broadcast.operator.BroadcastVariableReceiverOperatorFactory
createTableId() - Method in class org.apache.flink.ml.builder.GraphBuilder: Creates a TableId associated with this GraphBuilder.
createTypeInfo(Type, Map<String, TypeInformation<?>>) - Method in class org.apache.flink.ml.common.typeinfo.QuantileSummaryTypeInfoFactory
createTypeInfo(Type, Map<String, TypeInformation<?>>) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfoFactory
createTypeInfo(Type, Map<String, TypeInformation<?>>) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfoFactory
createTypeInfo(Type, Map<String, TypeInformation<?>>) - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfoFactory
createTypeInfo(Type, Map<String, TypeInformation<?>>) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfoFactory
createTypeInfo(Type, Map<String, TypeInformation<?>>) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormTypeInfoFactory
createWrappedOperatorConfig(StreamConfig, ClassLoader) - Static method in class org.apache.flink.iteration.operator.OperatorUtils
curNegative - Variable in class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator.BinarySummary
curPositive - Variable in class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator.BinarySummary

D

DATA_CACHE_PATH - Static variable in class org.apache.flink.iteration.config.IterationOptions
DataCacheReader<T> - Class in org.apache.flink.iteration.datacache.nonkeyed: Reads the cached data from a list of segments.
DataCacheReader(TypeSerializer<T>, List<Segment>) - Constructor for class org.apache.flink.iteration.datacache.nonkeyed.DataCacheReader
DataCacheReader(TypeSerializer<T>, List<Segment>, Tuple2<Integer, Integer>) - Constructor for class org.apache.flink.iteration.datacache.nonkeyed.DataCacheReader
DataCacheSnapshot - Class in org.apache.flink.iteration.datacache.nonkeyed: The snapshot of a data cache.
DataCacheSnapshot(FileSystem, Tuple2<Integer, Integer>, List<Segment>) - Constructor for class org.apache.flink.iteration.datacache.nonkeyed.DataCacheSnapshot
DataCacheWriter<T> - Class in org.apache.flink.iteration.datacache.nonkeyed: Records the data received and replayed them when required.
DataCacheWriter(TypeSerializer<T>, FileSystem, SupplierWithException<Path, IOException>) - Constructor for class org.apache.flink.iteration.datacache.nonkeyed.DataCacheWriter
DataCacheWriter(TypeSerializer<T>, FileSystem, SupplierWithException<Path, IOException>, MemorySegmentPool) - Constructor for class org.apache.flink.iteration.datacache.nonkeyed.DataCacheWriter
DataCacheWriter(TypeSerializer<T>, FileSystem, SupplierWithException<Path, IOException>, List<Segment>) - Constructor for class org.apache.flink.iteration.datacache.nonkeyed.DataCacheWriter
DataCacheWriter(TypeSerializer<T>, FileSystem, SupplierWithException<Path, IOException>, MemorySegmentPool, List<Segment>) - Constructor for class org.apache.flink.iteration.datacache.nonkeyed.DataCacheWriter
DataFrame - Class in org.apache.flink.ml.servable.api: A DataFrame consists of several rows, each of which has the same column names and data types.
DataFrame(List<String>, List<DataType>, List<Row>) - Constructor for class org.apache.flink.ml.servable.api.DataFrame: The given columnNames and dataTypes should be mutable in order for TransformerServable classes to update DataFrame with the serving results.
DataGenerator<T extends DataGenerator<T>> - Interface in org.apache.flink.ml.benchmark.datagenerator: Interface for generating data as table arrays.
DataStreamList - Class in org.apache.flink.iteration: A utility class to maintain a list of DataStream, which might have different types.
DataStreamList(List<DataStream<?>>) - Constructor for class org.apache.flink.iteration.DataStreamList
DataStreamUtils - Class in org.apache.flink.ml.common.datastream: Provides utility functions for DataStream.
DataStreamUtils() - Constructor for class org.apache.flink.ml.common.datastream.DataStreamUtils
DataType - Class in org.apache.flink.ml.servable.types: This class describes the data type of a value.
DataType() - Constructor for class org.apache.flink.ml.servable.types.DataType
DataTypes - Class in org.apache.flink.ml.servable.types: This class gives access to the most common types that are used to define DataFrames.
DataTypes() - Constructor for class org.apache.flink.ml.servable.types.DataTypes
DCT - Class in org.apache.flink.ml.feature.dct: A Transformer that takes the 1D discrete cosine transform of a real vector.
DCT() - Constructor for class org.apache.flink.ml.feature.dct.DCT
DCTExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a DCT instance and uses it for feature engineering.
DCTExample() - Constructor for class org.apache.flink.ml.examples.feature.DCTExample
DCTParams<T> - Interface in org.apache.flink.ml.feature.dct: Params for DCT.
DECAY_FACTOR - Static variable in interface org.apache.flink.ml.common.param.HasDecayFactor
defaultValue - Variable in class org.apache.flink.ml.param.Param
DEGREE - Static variable in interface org.apache.flink.ml.feature.polynomialexpansion.PolynomialExpansionParams
delta - Variable in class org.apache.flink.ml.common.util.QuantileSummary.StatsTuple
dense(double...) - Static method in class org.apache.flink.ml.linalg.Vectors: Creates a dense vector from its values.
DenseMatrix - Class in org.apache.flink.ml.linalg: Column-major dense matrix.
DenseMatrix(int, int) - Constructor for class org.apache.flink.ml.linalg.DenseMatrix: Constructs an m-by-n matrix of zeros.
DenseMatrix(int, int, double[]) - Constructor for class org.apache.flink.ml.linalg.DenseMatrix: Constructs a matrix from a 1-D array.
DenseMatrixSerializer - Class in org.apache.flink.ml.linalg.typeinfo: Specialized serializer for DenseMatrix.
DenseMatrixSerializer() - Constructor for class org.apache.flink.ml.linalg.typeinfo.DenseMatrixSerializer
DenseMatrixSerializer.DenseMatrixSerializerSnapshot - Class in org.apache.flink.ml.linalg.typeinfo: Serializer configuration snapshot for compatibility and format evolution.
DenseMatrixSerializerSnapshot() - Constructor for class org.apache.flink.ml.linalg.typeinfo.DenseMatrixSerializer.DenseMatrixSerializerSnapshot
DenseMatrixTypeInfo - Class in org.apache.flink.ml.linalg.typeinfo: A TypeInformation for the DenseMatrix type.
DenseMatrixTypeInfo() - Constructor for class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfo
DenseMatrixTypeInfoFactory - Class in org.apache.flink.ml.linalg.typeinfo: Used by TypeExtractor to create a TypeInformation for implementations of DenseMatrix.
DenseMatrixTypeInfoFactory() - Constructor for class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfoFactory
DenseVector - Class in org.apache.flink.ml.linalg: A dense vector of double values.
DenseVector(double[]) - Constructor for class org.apache.flink.ml.linalg.DenseVector
DenseVector(int) - Constructor for class org.apache.flink.ml.linalg.DenseVector
DenseVectorArrayGenerator - Class in org.apache.flink.ml.benchmark.datagenerator.common: A DataGenerator which creates a table of DenseVector array.
DenseVectorArrayGenerator() - Constructor for class org.apache.flink.ml.benchmark.datagenerator.common.DenseVectorArrayGenerator
DenseVectorGenerator - Class in org.apache.flink.ml.benchmark.datagenerator.common: A DataGenerator which creates a table of DenseVector.
DenseVectorGenerator() - Constructor for class org.apache.flink.ml.benchmark.datagenerator.common.DenseVectorGenerator
DenseVectorSerializer - Class in org.apache.flink.ml.linalg.typeinfo: Specialized serializer for DenseVector.
DenseVectorSerializer() - Constructor for class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer
DenseVectorSerializer.DenseVectorSerializerSnapshot - Class in org.apache.flink.ml.linalg.typeinfo: Serializer configuration snapshot for compatibility and format evolution.
DenseVectorSerializerSnapshot() - Constructor for class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer.DenseVectorSerializerSnapshot
DenseVectorTypeInfo - Class in org.apache.flink.ml.linalg.typeinfo: A TypeInformation for the DenseVector type.
DenseVectorTypeInfo() - Constructor for class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfo
DenseVectorTypeInfoFactory - Class in org.apache.flink.ml.linalg.typeinfo: Used by TypeExtractor to create a TypeInformation for implementations of DenseVector.
DenseVectorTypeInfoFactory() - Constructor for class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfoFactory
deregisterKeySelectionListener(KeyedStateBackend.KeySelectionListener<K>) - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
description - Variable in class org.apache.flink.ml.param.Param
deserialize(DataInputView) - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
deserialize(IterationRecord<T>, DataInputView) - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
deserialize(DataInputView) - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
deserialize(CacheElement<T>, DataInputView) - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
deserialize(DataInputView) - Method in class org.apache.flink.ml.common.datastream.sort.KeyAndValueSerializer
deserialize(Tuple2<byte[], StreamRecord<IN>>, DataInputView) - Method in class org.apache.flink.ml.common.datastream.sort.KeyAndValueSerializer
deserialize(DataInputView) - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueSerializer
deserialize(PriorityQueue<T>, DataInputView) - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueSerializer
deserialize(DataInputView) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixSerializer
deserialize(DenseMatrix, DataInputView) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixSerializer
deserialize(DataInputView) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer
deserialize(DenseVector, DataInputView) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer
deserialize(DataInputView) - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorSerializer
deserialize(SparseVector, DataInputView) - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorSerializer
deserialize(DataInputView) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorSerializer
deserialize(Vector, DataInputView) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorSerializer
deserialize(DataInputView) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormSerializer
deserialize(VectorWithNorm, DataInputView) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormSerializer
deserializeNumber(DataInputView) - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
dispose() - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
dispose() - Method in class org.apache.flink.iteration.proxy.state.ProxyOperatorStateBackend
distance(VectorWithNorm, VectorWithNorm) - Method in class org.apache.flink.ml.common.distance.CosineDistanceMeasure
distance(VectorWithNorm, VectorWithNorm) - Method in interface org.apache.flink.ml.common.distance.DistanceMeasure: Measures the distance between two vectors.
distance(VectorWithNorm, VectorWithNorm) - Method in class org.apache.flink.ml.common.distance.EuclideanDistanceMeasure
distance(VectorWithNorm, VectorWithNorm) - Method in class org.apache.flink.ml.common.distance.ManhattanDistanceMeasure
DISTANCE_MEASURE - Static variable in interface org.apache.flink.ml.common.param.HasDistanceMeasure
DISTANCE_THRESHOLD - Static variable in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
DistanceMeasure - Interface in org.apache.flink.ml.common.distance: Interface for measuring distance between two vectors.
docFreq - Variable in class org.apache.flink.ml.feature.idf.IDFModelData: Document frequency for all terms after filtering out infrequent terms.
dot(Vector, Vector) - Static method in class org.apache.flink.ml.linalg.BLAS: Computes the dot of the two vectors (y \dot x).
DOUBLE - Static variable in class org.apache.flink.ml.servable.types.DataTypes
DoubleArrayArrayParam - Class in org.apache.flink.ml.param: Class for the array of double array parameter.
DoubleArrayArrayParam(String, String, Double[][], ParamValidator<Double[][]>) - Constructor for class org.apache.flink.ml.param.DoubleArrayArrayParam
DoubleArrayArrayParam(String, String, Double[][]) - Constructor for class org.apache.flink.ml.param.DoubleArrayArrayParam
DoubleArrayParam - Class in org.apache.flink.ml.param: Class for the double array parameter.
DoubleArrayParam(String, String, Double[], ParamValidator<Double[]>) - Constructor for class org.apache.flink.ml.param.DoubleArrayParam
DoubleArrayParam(String, String, Double[]) - Constructor for class org.apache.flink.ml.param.DoubleArrayParam
DoubleGenerator - Class in org.apache.flink.ml.benchmark.datagenerator.common: A DataGenerator which creates a table of doubles.
DoubleGenerator() - Constructor for class org.apache.flink.ml.benchmark.datagenerator.common.DoubleGenerator
DoubleParam - Class in org.apache.flink.ml.param: Class for the double parameter.
DoubleParam(String, String, Double, ParamValidator<Double>) - Constructor for class org.apache.flink.ml.param.DoubleParam
DoubleParam(String, String, Double) - Constructor for class org.apache.flink.ml.param.DoubleParam
DraftExecutionEnvironment - Class in org.apache.flink.iteration.compile: A specialized stream execution environment that allows users to first construct a subgraph and later copy the transformations into the actual environment.
DraftExecutionEnvironment(StreamExecutionEnvironment, OperatorWrapper<?, ?>) - Constructor for class org.apache.flink.iteration.compile.DraftExecutionEnvironment
DraftExecutionEnvironment.EmptySource<T> - Class in org.apache.flink.iteration.compile: A special source that emits no data.
DraftTransformationTranslator<TF extends org.apache.flink.api.dag.Transformation<?>> - Interface in org.apache.flink.iteration.compile: Creates the actual transformation according to the draft transformation.
DraftTransformationTranslator.Context - Interface in org.apache.flink.iteration.compile: The context for DraftTransformationTranslator.
DROP_LAST - Static variable in interface org.apache.flink.ml.feature.onehotencoder.OneHotEncoderParams
duplicate() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
duplicate() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
duplicate() - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
duplicate() - Method in class org.apache.flink.ml.common.datastream.sort.KeyAndValueSerializer
duplicate() - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
duplicate() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueSerializer
duplicate() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer
duplicate() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormSerializer

E

ELASTIC_NET - Static variable in interface org.apache.flink.ml.common.param.HasElasticNet
ElementwiseProduct - Class in org.apache.flink.ml.feature.elementwiseproduct: A Transformer that multiplies each input vector with a given scaling vector using Hadamard product.
ElementwiseProduct() - Constructor for class org.apache.flink.ml.feature.elementwiseproduct.ElementwiseProduct
ElementwiseProductExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a ElementwiseProduct instance and uses it for feature engineering.
ElementwiseProductExample() - Constructor for class org.apache.flink.ml.examples.feature.ElementwiseProductExample
ElementwiseProductParams<T> - Interface in org.apache.flink.ml.feature.elementwiseproduct: Params of ElementwiseProduct.
emitLatencyMarker(LatencyMarker) - Method in class org.apache.flink.iteration.proxy.ProxyOutput
emitWatermark(Watermark) - Method in class org.apache.flink.iteration.proxy.ProxyOutput
emitWatermarkStatus(WatermarkStatus) - Method in class org.apache.flink.iteration.proxy.ProxyOutput
EmptySource() - Constructor for class org.apache.flink.iteration.compile.DraftExecutionEnvironment.EmptySource
encode(KnnModelData, OutputStream) - Method in class org.apache.flink.ml.classification.knn.KnnModelData.ModelDataEncoder
encode(LinearSVCModelData, OutputStream) - Method in class org.apache.flink.ml.classification.linearsvc.LinearSVCModelData.ModelDataEncoder
encode(OutputStream) - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData: Serializes the instance and writes to the output stream.
encode(LogisticRegressionModelData, OutputStream) - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelDataUtil.ModelDataEncoder
encode(NaiveBayesModelData, OutputStream) - Method in class org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData.ModelDataEncoder
encode(KMeansModelData, OutputStream) - Method in class org.apache.flink.ml.clustering.kmeans.KMeansModelData.ModelDataEncoder
encode(CountVectorizerModelData, OutputStream) - Method in class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelData.ModelDataEncoder
encode(IDFModelData, OutputStream) - Method in class org.apache.flink.ml.feature.idf.IDFModelData.ModelDataEncoder
encode(ImputerModelData, OutputStream) - Method in class org.apache.flink.ml.feature.imputer.ImputerModelData.ModelDataEncoder
encode(KBinsDiscretizerModelData, OutputStream) - Method in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModelData.ModelDataEncoder
encode(MinHashLSHModelData, OutputStream) - Method in class org.apache.flink.ml.feature.lsh.MinHashLSHModelData.ModelDataEncoder
encode(MaxAbsScalerModelData, OutputStream) - Method in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModelData.ModelDataEncoder
encode(MinMaxScalerModelData, OutputStream) - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModelData.ModelDataEncoder
encode(Tuple2<Integer, Integer>, OutputStream) - Method in class org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModelData.ModelDataEncoder
encode(RobustScalerModelData, OutputStream) - Method in class org.apache.flink.ml.feature.robustscaler.RobustScalerModelData.ModelDataEncoder
encode(StandardScalerModelData, OutputStream) - Method in class org.apache.flink.ml.feature.standardscaler.StandardScalerModelData.ModelDataEncoder
encode(StringIndexerModelData, OutputStream) - Method in class org.apache.flink.ml.feature.stringindexer.StringIndexerModelData.ModelDataEncoder
encode(UnivariateFeatureSelectorModelData, OutputStream) - Method in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModelData.ModelDataEncoder
encode(VarianceThresholdSelectorModelData, OutputStream) - Method in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModelData.ModelDataEncoder
encode(VectorIndexerModelData, OutputStream) - Method in class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModelData.ModelDataEncoder
encode(LinearRegressionModelData, OutputStream) - Method in class org.apache.flink.ml.regression.linearregression.LinearRegressionModelData.ModelDataEncoder
endInput(int) - Method in class org.apache.flink.iteration.operator.AbstractWrapperOperator
endInput(int) - Method in class org.apache.flink.iteration.operator.allround.MultipleInputAllRoundWrapperOperator
endInput() - Method in class org.apache.flink.iteration.operator.allround.OneInputAllRoundWrapperOperator
endInput(int) - Method in class org.apache.flink.iteration.operator.allround.TwoInputAllRoundWrapperOperator
endInput() - Method in class org.apache.flink.iteration.operator.HeadOperator
endInput(int) - Method in class org.apache.flink.iteration.operator.ReplayOperator
endInput(int) - Method in class org.apache.flink.ml.common.broadcast.operator.BroadcastVariableReceiverOperator
endInput() - Method in class org.apache.flink.ml.common.broadcast.operator.OneInputBroadcastWrapperOperator
endInput(int) - Method in class org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
endInput(int) - Method in class org.apache.flink.ml.common.datastream.sort.CoGroupOperator
endInput() - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScaler.MinMaxReduceFunctionOperator
endInputAndEmitMaxWatermark(S, int, int) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
endInputAndEmitMaxWatermark(MultipleInputStreamOperator<OUT>, int, int) - Method in class org.apache.flink.iteration.operator.perround.MultipleInputPerRoundWrapperOperator
endInputAndEmitMaxWatermark(OneInputStreamOperator<IN, OUT>, int, int) - Method in class org.apache.flink.iteration.operator.perround.OneInputPerRoundWrapperOperator
endInputAndEmitMaxWatermark(TwoInputStreamOperator<IN1, IN2, OUT>, int, int) - Method in class org.apache.flink.iteration.operator.perround.TwoInputPerRoundWrapperOperator
endInputX(int, ThrowingConsumer<StreamRecord, Exception>, ThrowingConsumer<Watermark, Exception>, ThrowingConsumer<StreamRecord, Exception>) - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: Extracts common processing logic in subclasses' endInput(...).
EndOfStreamWindows - Class in org.apache.flink.ml.common.datastream: A WindowAssigner that assigns all elements of a bounded input stream into one window pane.
EpochAware - Interface in org.apache.flink.iteration.operator.allround: Operators or UDF implements this method would be provided with an supplier that provides the current rounds of the current element.
EpochAwareAllRoundProcessFunction<I,O> - Class in org.apache.flink.iteration.functions: A specialized ProcessFunction that also provide the attach epoch with each record.
EpochAwareAllRoundProcessFunction() - Constructor for class org.apache.flink.iteration.functions.EpochAwareAllRoundProcessFunction
EpochAwareCoProcessFunction<I1,I2,O> - Class in org.apache.flink.iteration.functions: A specialized CoProcessFunction that also provide the attach epoch with each record.
EpochAwareCoProcessFunction() - Constructor for class org.apache.flink.iteration.functions.EpochAwareCoProcessFunction
epochWatermarkSupplier - Variable in class org.apache.flink.iteration.operator.AbstractWrapperOperator
epochWatermarkTracker - Variable in class org.apache.flink.iteration.operator.AbstractWrapperOperator
equals(Object) - Method in class org.apache.flink.iteration.datacache.nonkeyed.Segment
equals(Object) - Method in class org.apache.flink.iteration.IterationRecord
equals(Object) - Method in class org.apache.flink.iteration.operator.event.CoordinatorCheckpointEvent
equals(Object) - Method in class org.apache.flink.iteration.operator.event.GloballyAlignedEvent
equals(Object) - Method in class org.apache.flink.iteration.operator.event.SubtaskAlignedEvent
equals(Object) - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
equals(Object) - Method in class org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo
equals(Object) - Method in class org.apache.flink.ml.builder.GraphNode
equals(Object) - Method in class org.apache.flink.ml.builder.TableId
equals(Object) - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
equals(Object) - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
equals(Object) - Method in class org.apache.flink.ml.common.datastream.sort.KeyAndValueSerializer
equals(Object) - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueSerializer
equals(Object) - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueTypeInfo
equals(Object) - Method in class org.apache.flink.ml.common.window.CountTumblingWindows
equals(Object) - Method in class org.apache.flink.ml.common.window.EventTimeSessionWindows
equals(Object) - Method in class org.apache.flink.ml.common.window.EventTimeTumblingWindows
equals(Object) - Method in class org.apache.flink.ml.common.window.GlobalWindows
equals(Object) - Method in class org.apache.flink.ml.common.window.ProcessingTimeSessionWindows
equals(Object) - Method in class org.apache.flink.ml.common.window.ProcessingTimeTumblingWindows
equals(Object) - Method in class org.apache.flink.ml.linalg.DenseVector
equals(Object) - Method in class org.apache.flink.ml.linalg.SparseVector
equals(Object) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfo
equals(Object) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer
equals(Object) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfo
equals(Object) - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfo
equals(Object) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfo
equals(Object) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormSerializer
equals(Object) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormTypeInfo
equals(Object) - Method in class org.apache.flink.ml.param.Param
equalToReference(Tuple2<byte[], StreamRecord<IN>>) - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
equalToReference(Tuple2<byte[], StreamRecord<IN>>) - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
ERROR_INVALID - Static variable in interface org.apache.flink.ml.common.param.HasHandleInvalid
Estimator<E extends Estimator<E,M>,M extends Model<M>> - Interface in org.apache.flink.ml.api: Estimators are responsible for training and generating Models.
estimatorInputIds - Variable in class org.apache.flink.ml.builder.GraphData
estimatorInputIds - Variable in class org.apache.flink.ml.builder.GraphNode
EuclideanDistanceMeasure - Class in org.apache.flink.ml.common.distance: Euclidean distance (also known as L2 distance) between two vectors.
eval(DenseVector[]) - Method in class org.apache.flink.ml.benchmark.datagenerator.clustering.KMeansModelDataGenerator.GenerateWeightsFunction
eval(String[], int) - Method in class org.apache.flink.ml.feature.ngram.NGram.NGramUdf
eval(String, String, Boolean, boolean, int) - Method in class org.apache.flink.ml.feature.regextokenizer.RegexTokenizer.RegexTokenizerUdf
eval(String[]) - Method in class org.apache.flink.ml.feature.stopwordsremover.StopWordsRemover.RemoveStopWordsFunction
eval(String) - Method in class org.apache.flink.ml.feature.tokenizer.Tokenizer.TokenizerUdf
eval(double[]) - Method in class org.apache.flink.ml.Functions.ArrayToVectorFunction
eval(Double[]) - Method in class org.apache.flink.ml.Functions.ArrayToVectorFunction
eval(Number[]) - Method in class org.apache.flink.ml.Functions.ArrayToVectorFunction
eval(Vector) - Method in class org.apache.flink.ml.Functions.VectorToArrayFunction
eventBroadcastOutput - Variable in class org.apache.flink.iteration.operator.AbstractWrapperOperator
EventTimeSessionWindows - Class in org.apache.flink.ml.common.window: A windowing strategy that groups elements into sessions based on the timestamp of the elements.
EventTimeTumblingWindows - Class in org.apache.flink.ml.common.window: A windowing strategy that groups elements into fixed-size windows based on the timestamp of the elements.
execute(StreamGraph) - Method in class org.apache.flink.iteration.compile.DraftExecutionEnvironment
executionAttemptFailed(int, int, Throwable) - Method in class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator
executionAttemptReady(int, int, OperatorCoordinator.SubtaskGateway) - Method in class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator
extractKeys(Object, Object[], int) - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
extractKeys(Object, Object[], int) - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator

F

FDR - Static variable in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
FEATURE_ARITY - Static variable in class org.apache.flink.ml.benchmark.datagenerator.common.LabeledPointWithWeightGenerator
FEATURE_TYPE - Static variable in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams: Supported options of the feature type.
FeatureHasher - Class in org.apache.flink.ml.feature.featurehasher: A Transformer that transforms a set of categorical or numerical features into a sparse vector of a specified dimension.
FeatureHasher() - Constructor for class org.apache.flink.ml.feature.featurehasher.FeatureHasher
FeatureHasherExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a FeatureHasher instance and uses it for feature engineering.
FeatureHasherExample() - Constructor for class org.apache.flink.ml.examples.feature.FeatureHasherExample
FeatureHasherParams<T> - Interface in org.apache.flink.ml.feature.featurehasher: Params of FeatureHasher.
featureNormSquares - Variable in class org.apache.flink.ml.classification.knn.KnnModelData
FEATURES_COL - Static variable in interface org.apache.flink.ml.common.param.HasFeaturesCol
FileUtils - Class in org.apache.flink.ml.util: Utility methods for file operations.
FileUtils() - Constructor for class org.apache.flink.ml.util.FileUtils
findClosest(VectorWithNorm[], VectorWithNorm) - Method in interface org.apache.flink.ml.common.distance.DistanceMeasure: Finds the index of the closest center to the given point.
findClosest(VectorWithNorm[], VectorWithNorm) - Method in class org.apache.flink.ml.common.distance.EuclideanDistanceMeasure
finish() - Method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheWriter: Finishes adding records and closes resources occupied for adding records.
finish() - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
finish() - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
finish(int) - Method in class org.apache.flink.iteration.progresstrack.OperatorEpochWatermarkTracker
finish() - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
FINISHED_STATE - Static variable in class org.apache.flink.iteration.operator.headprocessor.HeadOperatorState
fit(Table...) - Method in interface org.apache.flink.ml.api.Estimator: Trains on the given inputs and produces a Model.
fit(Table...) - Method in class org.apache.flink.ml.builder.Graph
fit(Table...) - Method in class org.apache.flink.ml.builder.Pipeline: Trains the pipeline to fit on the given tables.
fit(Table...) - Method in class org.apache.flink.ml.classification.knn.Knn
fit(Table...) - Method in class org.apache.flink.ml.classification.linearsvc.LinearSVC
fit(Table...) - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegression
fit(Table...) - Method in class org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegression
fit(Table...) - Method in class org.apache.flink.ml.classification.naivebayes.NaiveBayes
fit(Table...) - Method in class org.apache.flink.ml.clustering.kmeans.KMeans
fit(Table...) - Method in class org.apache.flink.ml.clustering.kmeans.OnlineKMeans
fit(Table...) - Method in class org.apache.flink.ml.feature.countvectorizer.CountVectorizer
fit(Table...) - Method in class org.apache.flink.ml.feature.idf.IDF
fit(Table...) - Method in class org.apache.flink.ml.feature.imputer.Imputer
fit(Table...) - Method in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizer
fit(Table...) - Method in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScaler
fit(Table...) - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScaler
fit(Table...) - Method in class org.apache.flink.ml.feature.onehotencoder.OneHotEncoder
fit(Table...) - Method in class org.apache.flink.ml.feature.robustscaler.RobustScaler
fit(Table...) - Method in class org.apache.flink.ml.feature.standardscaler.OnlineStandardScaler
fit(Table...) - Method in class org.apache.flink.ml.feature.standardscaler.StandardScaler
fit(Table...) - Method in class org.apache.flink.ml.feature.stringindexer.StringIndexer
fit(Table...) - Method in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelector
fit(Table...) - Method in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelector
fit(Table...) - Method in class org.apache.flink.ml.feature.vectorindexer.VectorIndexer
fit(Table...) - Method in class org.apache.flink.ml.regression.linearregression.LinearRegression
FixedLengthByteKeyComparator<IN> - Class in org.apache.flink.ml.common.datastream.sort: A comparator used in SortingDataInput which compares records keys and timestamps.
FixedLengthByteKeyComparator(int) - Constructor for class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
flatMap(T, Collector<T>) - Method in class org.apache.flink.ml.common.iteration.ForwardInputsOfLastRound
flatMap(T, Collector<Integer>) - Method in class org.apache.flink.ml.common.iteration.TerminateOnMaxIter
flatMap(Double, Collector<Integer>) - Method in class org.apache.flink.ml.common.iteration.TerminateOnMaxIterOrTol
FLATTEN - Static variable in interface org.apache.flink.ml.common.param.HasFlatten
FLOAT - Static variable in class org.apache.flink.ml.servable.types.DataTypes
FloatArrayParam - Class in org.apache.flink.ml.param: Class for the float array parameter.
FloatArrayParam(String, String, Float[], ParamValidator<Float[]>) - Constructor for class org.apache.flink.ml.param.FloatArrayParam
FloatArrayParam(String, String, Float[]) - Constructor for class org.apache.flink.ml.param.FloatArrayParam
FloatParam - Class in org.apache.flink.ml.param: Class for the float parameter.
FloatParam(String, String, Float, ParamValidator<Float>) - Constructor for class org.apache.flink.ml.param.FloatParam
FloatParam(String, String, Float) - Constructor for class org.apache.flink.ml.param.FloatParam
forEachRound(DataStreamList, IterationBody.PerRoundSubBody) - Static method in interface org.apache.flink.iteration.IterationBody
ForwardInputsOfLastRound<T> - Class in org.apache.flink.ml.common.iteration: A FlatMapFunction which forwards input values in the last round of the iteration to the output.
ForwardInputsOfLastRound() - Constructor for class org.apache.flink.ml.common.iteration.ForwardInputsOfLastRound
FPR - Static variable in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
FREQUENCY_ASC_ORDER - Static variable in interface org.apache.flink.ml.feature.stringindexer.StringIndexerParams
FREQUENCY_DESC_ORDER - Static variable in interface org.apache.flink.ml.feature.stringindexer.StringIndexerParams
fromList(List<Integer>) - Static method in class org.apache.flink.ml.builder.TableId
fromMap(Map<String, Object>) - Static method in class org.apache.flink.ml.builder.GraphData
fromMap(Map<String, Object>) - Static method in class org.apache.flink.ml.builder.GraphNode
Functions - Class in org.apache.flink.ml: Built-in table functions for data transformations.
Functions() - Constructor for class org.apache.flink.ml.Functions
Functions.ArrayToVectorFunction - Class in org.apache.flink.ml: A ScalarFunction that converts a column of arrays of numeric type into a column of DenseVector instances.
Functions.VectorToArrayFunction - Class in org.apache.flink.ml: A ScalarFunction that converts a column of Vectors into a column of double arrays.
FValueTest - Class in org.apache.flink.ml.stats.fvaluetest: An AlgoOperator which implements the F-value test algorithm.
FValueTest() - Constructor for class org.apache.flink.ml.stats.fvaluetest.FValueTest
FValueTestParams<T> - Interface in org.apache.flink.ml.stats.fvaluetest: Params for FValueTest.
FWE - Static variable in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams

G

g - Variable in class org.apache.flink.ml.common.util.QuantileSummary.StatsTuple
GAPS - Static variable in interface org.apache.flink.ml.feature.regextokenizer.RegexTokenizerParams
gemv(double, DenseMatrix, boolean, DenseVector, double, DenseVector) - Static method in class org.apache.flink.ml.linalg.BLAS: y = alpha * matrix * x + beta * y or y = alpha * (matrix^T) * x + beta * y.
generateBatchData(DataStream<T>, int, int) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: Splits the input data into global batches of batchSize.
generateModelData(int, int, int, long) - Static method in class org.apache.flink.ml.feature.lsh.MinHashLSHModelData
generateRandomModelData(StreamTableEnvironment, int, int) - Static method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelDataUtil: Generates a Table containing a LogisticRegressionModelData instance with randomly generated coefficient.
generateRandomModelData(StreamTableEnvironment, int, int, double, long) - Static method in class org.apache.flink.ml.clustering.kmeans.KMeansModelData: Generates a Table containing a KMeansModelData instance with randomly generated centroids.
GenerateWeightsFunction() - Constructor for class org.apache.flink.ml.benchmark.datagenerator.clustering.KMeansModelDataGenerator.GenerateWeightsFunction
get() - Static method in class org.apache.flink.iteration.checkpoint.CheckpointsBroker
get() - Method in class org.apache.flink.iteration.datacache.nonkeyed.ListStateWithCache
get(int) - Method in class org.apache.flink.iteration.DataStreamList: Returns the data stream at the given index in this list.
get() - Static method in class org.apache.flink.ml.common.datastream.EndOfStreamWindows
get(int, int) - Method in class org.apache.flink.ml.linalg.DenseMatrix
get(int) - Method in class org.apache.flink.ml.linalg.DenseVector
get(int, int) - Method in interface org.apache.flink.ml.linalg.Matrix: Gets value of the (i,j) element.
get(int) - Method in class org.apache.flink.ml.linalg.SparseVector
get(int) - Method in interface org.apache.flink.ml.linalg.Vector: Gets the value of the ith element.
get(Param<V>) - Method in interface org.apache.flink.ml.param.WithParams: Gets the value of the parameter.
get(int) - Method in class org.apache.flink.ml.servable.api.Row: Returns the value at the given index.
getActualStream(int) - Method in class org.apache.flink.iteration.compile.DraftExecutionEnvironment
getActualTransformation(int) - Method in interface org.apache.flink.iteration.compile.DraftTransformationTranslator.Context
getAlpha() - Method in interface org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionParams
getAlpha1() - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
getAlpha2() - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
getArity() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo
getArity() - Method in class org.apache.flink.ml.benchmark.datagenerator.common.DoubleGenerator
getArity() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
getArity() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueTypeInfo
getArity() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfo
getArity() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfo
getArity() - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfo
getArity() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfo
getArity() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormTypeInfo
getArraySize() - Method in interface org.apache.flink.ml.benchmark.datagenerator.param.HasArraySize
getAs(int) - Method in class org.apache.flink.ml.servable.api.Row: Returns the value at the given index as the given type.
getAvailableLocales() - Static method in class org.apache.flink.ml.feature.stopwordsremover.StopWordsRemover: Returns a set of all installed locales.
getBatchStrategy() - Method in interface org.apache.flink.ml.common.param.HasBatchStrategy
getBeta() - Method in interface org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionParams
getBeta() - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
getBinary() - Method in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelParams
getBinary() - Method in interface org.apache.flink.ml.feature.hashingtf.HashingTFParams
getBroadcastingInternalOutputs(Object) - Method in class org.apache.flink.iteration.broadcast.OutputReflectionContext
getBroadcastState(MapStateDescriptor<K, V>) - Method in class org.apache.flink.iteration.proxy.state.ProxyOperatorStateBackend
getBroadcastVariable(String) - Static method in class org.apache.flink.ml.common.broadcast.BroadcastContext
getBroadcastVariable(String) - Method in class org.apache.flink.ml.common.broadcast.BroadcastStreamingRuntimeContext
getBroadcastVariableWithInitializer(String, BroadcastVariableInitializer<T, C>) - Method in class org.apache.flink.ml.common.broadcast.BroadcastStreamingRuntimeContext
getCaseSensitive() - Method in interface org.apache.flink.ml.feature.stopwordsremover.StopWordsRemoverParams
getCategoricalCols() - Method in interface org.apache.flink.ml.common.param.HasCategoricalCols
getChainingOutputTag(Object) - Method in class org.apache.flink.iteration.broadcast.OutputReflectionContext
getChainingStrategy() - Method in class org.apache.flink.iteration.operator.HeadOperatorFactory
getCheckpointId() - Method in class org.apache.flink.iteration.IterationRecord
getCheckpointId() - Method in class org.apache.flink.iteration.operator.event.CoordinatorCheckpointEvent
getCheckpointId() - Method in class org.apache.flink.iteration.proxy.state.ProxyStateSnapshotContext
getCheckpoints(SubtaskFeedbackKey<V>) - Method in class org.apache.flink.iteration.checkpoint.CheckpointsBroker
getCheckpointTimestamp() - Method in class org.apache.flink.iteration.proxy.state.ProxyStateSnapshotContext
getClassField(Class<?>, String) - Static method in class org.apache.flink.iteration.utils.ReflectionUtils
getColNames() - Method in interface org.apache.flink.ml.benchmark.datagenerator.InputDataGenerator
getColumnIndexes(ResolvedSchema, String[]) - Static method in class org.apache.flink.ml.common.datastream.TableUtils
getColumnNames() - Method in class org.apache.flink.ml.servable.api.DataFrame: Returns a list of the names of all the columns in this DataFrame.
getCompressThreshold() - Method in class org.apache.flink.ml.common.util.QuantileSummary
getComputeFullTree() - Method in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
getCoordinatorProvider(String, OperatorID) - Method in class org.apache.flink.iteration.operator.HeadOperatorFactory
getCount() - Method in class org.apache.flink.ml.common.util.QuantileSummary
getCountingInternalOutput(Object) - Method in class org.apache.flink.iteration.broadcast.OutputReflectionContext
getCurrentKey() - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
getCurrentKey() - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
getCurrentKey() - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
getCurrentKey() - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
getData(StreamTableEnvironment) - Method in class org.apache.flink.ml.benchmark.datagenerator.clustering.KMeansModelDataGenerator
getData(StreamTableEnvironment) - Method in class org.apache.flink.ml.benchmark.datagenerator.common.InputTableGenerator
getData(StreamTableEnvironment) - Method in interface org.apache.flink.ml.benchmark.datagenerator.DataGenerator: Gets an array of Tables containing the data generated in the provided stream table environment.
getDataCachePath(Configuration, String[]) - Static method in class org.apache.flink.iteration.operator.OperatorUtils
getDataPath(String) - Static method in class org.apache.flink.ml.util.FileUtils: Returns a subdirectory of the given path for saving/loading model data.
getDataStreams() - Method in class org.apache.flink.iteration.DataStreamList: Returns all the data streams as a native list.
getDataType(String) - Method in class org.apache.flink.ml.servable.api.DataFrame: Returns the data type of the column with the given name.
getDecayFactor() - Method in interface org.apache.flink.ml.common.param.HasDecayFactor
getDefaultOrUS() - Static method in class org.apache.flink.ml.feature.stopwordsremover.StopWordsRemover: Returns system default locale, or Locale.US if the default locale is not in available locales in JVM.
getDefaultTrigger(StreamExecutionEnvironment) - Method in class org.apache.flink.ml.common.datastream.EndOfStreamWindows
getDegree() - Method in interface org.apache.flink.ml.feature.polynomialexpansion.PolynomialExpansionParams
getDistanceMeasure() - Method in interface org.apache.flink.ml.common.param.HasDistanceMeasure
getDistanceThreshold() - Method in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
getDouble(byte[], int) - Static method in class org.apache.flink.ml.util.Bits
getDownstreamSubtaskStateMapper() - Method in class org.apache.flink.iteration.proxy.ProxyStreamPartitioner
getDropLast() - Method in interface org.apache.flink.ml.feature.onehotencoder.OneHotEncoderParams
getElasticNet() - Method in interface org.apache.flink.ml.common.param.HasElasticNet
getElementType() - Method in class org.apache.flink.ml.servable.types.MatrixType
getElementType() - Method in class org.apache.flink.ml.servable.types.ScalarType
getElementType() - Method in class org.apache.flink.ml.servable.types.VectorType
getElementTypeInfo() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueTypeInfo
getEpoch() - Method in class org.apache.flink.iteration.IterationRecord
getEpoch() - Method in class org.apache.flink.iteration.operator.event.GloballyAlignedEvent
getEpoch() - Method in class org.apache.flink.iteration.operator.event.SubtaskAlignedEvent
getExecutionConfig() - Method in interface org.apache.flink.iteration.compile.DraftTransformationTranslator.Context
getExecutionEnvironment(StreamTableEnvironment) - Static method in class org.apache.flink.ml.common.datastream.TableUtils
getFeatureArity() - Method in class org.apache.flink.ml.benchmark.datagenerator.common.LabeledPointWithWeightGenerator
getFeatures() - Method in class org.apache.flink.ml.common.feature.LabeledPointWithWeight
getFeaturesCol() - Method in interface org.apache.flink.ml.common.param.HasFeaturesCol
getFeatureType() - Method in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
getFeedbackVariableStreams() - Method in class org.apache.flink.iteration.IterationBodyResult
getFieldValue(Object, Field) - Static method in class org.apache.flink.iteration.utils.ReflectionUtils
getFieldValue(Object, Class<?>, String) - Static method in class org.apache.flink.iteration.utils.ReflectionUtils
getFileSystem() - Method in class org.apache.flink.iteration.checkpoint.Checkpoints
getFileSystem() - Method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheSnapshot
getFlatComparators() - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
getFlatComparators() - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
getFlatten() - Method in interface org.apache.flink.ml.common.param.HasFlatten
getGap() - Method in class org.apache.flink.ml.common.window.EventTimeSessionWindows
getGap() - Method in class org.apache.flink.ml.common.window.ProcessingTimeSessionWindows
getGaps() - Method in interface org.apache.flink.ml.feature.regextokenizer.RegexTokenizerParams
getGlobalBatchSize() - Method in interface org.apache.flink.ml.common.param.HasGlobalBatchSize
getHandleInvalid() - Method in interface org.apache.flink.ml.common.param.HasHandleInvalid
getHeadBuffer() - Method in class org.apache.flink.ml.common.util.QuantileSummary
getIndex(String) - Method in class org.apache.flink.ml.servable.api.DataFrame: Returns the index of the column with the given name.
getIndices() - Method in interface org.apache.flink.ml.feature.vectorslicer.VectorSlicerParams
getInitMode() - Method in interface org.apache.flink.ml.clustering.kmeans.KMeansParams
getInnerSerializer() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
getInnerTypeInfo() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo
getInputCol() - Method in interface org.apache.flink.ml.common.param.HasInputCol
getInputCols() - Method in interface org.apache.flink.ml.common.param.HasInputCols
getInputs() - Method in class org.apache.flink.iteration.operator.allround.MultipleInputAllRoundWrapperOperator
getInputs() - Method in class org.apache.flink.iteration.operator.perround.MultipleInputPerRoundWrapperOperator
getInputs() - Method in class org.apache.flink.ml.common.broadcast.operator.BroadcastVariableReceiverOperator
getInputSizes() - Method in interface org.apache.flink.ml.feature.vectorassembler.VectorAssemblerParams
getInstance() - Static method in class org.apache.flink.ml.common.distance.CosineDistanceMeasure
getInstance(String) - Static method in interface org.apache.flink.ml.common.distance.DistanceMeasure
getInstance() - Static method in class org.apache.flink.ml.common.distance.EuclideanDistanceMeasure
getInstance() - Static method in class org.apache.flink.ml.common.distance.ManhattanDistanceMeasure
getInstance() - Static method in class org.apache.flink.ml.common.window.GlobalWindows: Gets a GlobalWindows instance.
getInternalTimerService(String, TypeSerializer<K>, TypeSerializer<N>, Triggerable<K, N>) - Method in class org.apache.flink.iteration.proxy.state.ProxyInternalTimeServiceManager
getInverse() - Method in interface org.apache.flink.ml.feature.dct.DCTParams
getItemCol() - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
getK() - Method in interface org.apache.flink.ml.classification.knn.KnnModelParams
getK() - Method in interface org.apache.flink.ml.clustering.kmeans.KMeansModelParams
getK() - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
getKey(IterationRecord<T>) - Method in class org.apache.flink.iteration.proxy.ProxyKeySelector
getKeyGroupRange() - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
getKeys(String, N) - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
getKeysAndNamespaces(String) - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
getKeySerializer() - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
getLabel() - Method in class org.apache.flink.ml.common.feature.LabeledPointWithWeight
getLabelArity() - Method in class org.apache.flink.ml.benchmark.datagenerator.common.LabeledPointWithWeightGenerator
getLabelCol() - Method in interface org.apache.flink.ml.common.param.HasLabelCol
getLabelType() - Method in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
getLatestRoundAligned() - Method in class org.apache.flink.iteration.operator.headprocessor.HeadOperatorState
getLatestRoundAligned() - Method in class org.apache.flink.iteration.operator.headprocessor.RegularHeadOperatorRecordProcessor
getLatestRoundGloballyAligned() - Method in class org.apache.flink.iteration.operator.headprocessor.HeadOperatorState
getLatestRoundGloballyAligned() - Method in class org.apache.flink.iteration.operator.headprocessor.RegularHeadOperatorRecordProcessor
getLearningRate() - Method in interface org.apache.flink.ml.common.param.HasLearningRate
getLength() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
getLength() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
getLength() - Method in class org.apache.flink.ml.common.datastream.sort.KeyAndValueSerializer
getLength() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueSerializer
getLength() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixSerializer
getLength() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer
getLength() - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorSerializer
getLength() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorSerializer
getLength() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormSerializer
getLinkage() - Method in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
getListState(ListStateDescriptor<S>) - Method in class org.apache.flink.iteration.proxy.state.ProxyOperatorStateBackend
getLocale() - Method in interface org.apache.flink.ml.feature.stopwordsremover.StopWordsRemoverParams
getLong(byte[], int) - Static method in class org.apache.flink.ml.util.Bits
getLower() - Method in interface org.apache.flink.ml.feature.robustscaler.RobustScalerParams
getMax() - Method in interface org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerParams
getMaxAllowedModelDelayMs() - Method in interface org.apache.flink.ml.common.param.HasMaxAllowedModelDelayMs
getMaxCategories() - Method in interface org.apache.flink.ml.feature.vectorindexer.VectorIndexerParams
getMaxDF() - Method in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerParams
getMaxIndexNum() - Method in interface org.apache.flink.ml.feature.stringindexer.StringIndexerParams
getMaxIter() - Method in interface org.apache.flink.ml.common.param.HasMaxIter
getMaxUserBehavior() - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
getMaxUserNumPerItem() - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
getMetricGroup() - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
getMetricGroup() - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
getMetricGroup() - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
getMetricsNames() - Method in interface org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluatorParams
getMin() - Method in interface org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerParams
getMinDF() - Method in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerParams
getMinDocFreq() - Method in interface org.apache.flink.ml.feature.idf.IDFParams
getMinTF() - Method in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelParams
getMinTokenLength() - Method in interface org.apache.flink.ml.feature.regextokenizer.RegexTokenizerParams
getMinUserBehavior() - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
getMissingValue() - Method in interface org.apache.flink.ml.feature.imputer.ImputerModelParams
getModelData() - Method in interface org.apache.flink.ml.api.Model: Gets a list of tables representing the model data.
getModelData() - Method in class org.apache.flink.ml.builder.GraphModel
getModelData() - Method in class org.apache.flink.ml.classification.knn.KnnModel
getModelData() - Method in class org.apache.flink.ml.classification.linearsvc.LinearSVCModel
getModelData() - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel
getModelData() - Method in class org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionModel
getModelData() - Method in class org.apache.flink.ml.classification.naivebayes.NaiveBayesModel
getModelData() - Method in class org.apache.flink.ml.clustering.kmeans.KMeansModel
getModelData() - Method in class org.apache.flink.ml.clustering.kmeans.OnlineKMeansModel
getModelData() - Method in class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModel
getModelData() - Method in class org.apache.flink.ml.feature.idf.IDFModel
getModelData() - Method in class org.apache.flink.ml.feature.imputer.ImputerModel
getModelData() - Method in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModel
getModelData() - Method in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModel
getModelData() - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModel
getModelData() - Method in class org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModel
getModelData() - Method in class org.apache.flink.ml.feature.robustscaler.RobustScalerModel
getModelData() - Method in class org.apache.flink.ml.feature.standardscaler.OnlineStandardScalerModel
getModelData() - Method in class org.apache.flink.ml.feature.standardscaler.StandardScalerModel
getModelData() - Method in class org.apache.flink.ml.feature.stringindexer.IndexToStringModel
getModelData() - Method in class org.apache.flink.ml.feature.stringindexer.StringIndexerModel
getModelData() - Method in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModel
getModelData() - Method in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModel
getModelData() - Method in class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModel
getModelData() - Method in class org.apache.flink.ml.regression.linearregression.LinearRegressionModel
getModelDataByteStream(Table) - Static method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelDataUtil: Converts the table model to a data stream of bytes.
getModelDataFromEstimator(Estimator<?, ?>) - Method in class org.apache.flink.ml.builder.GraphBuilder: When the graph runs as Estimator, it first generates a GraphModel that contains the Model fitted by the given Estimator.
getModelDataFromModel(Model<?>) - Method in class org.apache.flink.ml.builder.GraphBuilder: When the graph runs as Estimator, the getModelData() of the given Model would be invoked.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.classification.knn.KnnModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.classification.linearsvc.LinearSVCModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelDataUtil: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.clustering.kmeans.KMeansModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.feature.idf.IDFModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.feature.imputer.ImputerModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.feature.robustscaler.RobustScalerModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.feature.standardscaler.StandardScalerModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.feature.stringindexer.StringIndexerModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModelData: Converts the table model to a data stream.
getModelDataStream(Table) - Static method in class org.apache.flink.ml.regression.linearregression.LinearRegressionModelData: Converts the table model to a data stream.
getModelType() - Method in interface org.apache.flink.ml.classification.naivebayes.NaiveBayesModelParams
getModelVersionCol() - Method in interface org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionModelParams
getModelVersionCol() - Method in interface org.apache.flink.ml.common.param.HasModelVersionCol
getMultiClass() - Method in interface org.apache.flink.ml.common.param.HasMultiClass
getN() - Method in interface org.apache.flink.ml.feature.ngram.NGramParams
getNamePrefix() - Method in class org.apache.flink.iteration.proxy.state.StateNamePrefix
getNormalizeKeyLen() - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
getNormalizeKeyLen() - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
getNumBins() - Method in interface org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerParams
getNumClusters() - Method in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
getNumDistinctValues() - Method in interface org.apache.flink.ml.benchmark.datagenerator.param.HasNumDistinctValues
getNumFeatures() - Method in interface org.apache.flink.ml.common.param.HasNumFeatures
getNumFeedbackRecordsEachRound() - Method in class org.apache.flink.iteration.operator.headprocessor.HeadOperatorState
getNumFeedbackRecordsPerEpoch() - Method in class org.apache.flink.iteration.operator.headprocessor.RegularHeadOperatorRecordProcessor
getNumHashFunctionsPerTable() - Method in interface org.apache.flink.ml.feature.lsh.LSHParams
getNumHashTables() - Method in interface org.apache.flink.ml.feature.lsh.LSHParams
getNumRecordsThisRound() - Method in class org.apache.flink.iteration.operator.event.SubtaskAlignedEvent
getNumValues() - Method in interface org.apache.flink.ml.benchmark.datagenerator.InputDataGenerator
getOperatorEventGateway() - Method in class org.apache.flink.iteration.operator.HeadOperator
getOperatorFactory() - Method in class org.apache.flink.iteration.operator.WrapperOperatorFactory
getOperatorID() - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
getOperatorId() - Method in class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator.HeadOperatorCoordinatorProvider
getOperatorID() - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
getOperatorID() - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
getOperatorLifeCycle() - Method in class org.apache.flink.iteration.IterationConfig
getOrCreate(IterationID, int, OperatorCoordinator.Context, Supplier<Executor>) - Static method in class org.apache.flink.iteration.operator.coordinator.SharedProgressAligner
getOrCreateKeyedState(TypeSerializer<N>, StateDescriptor<S, T>) - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
getOutputCol() - Method in interface org.apache.flink.ml.common.param.HasOutputCol
getOutputCols() - Method in interface org.apache.flink.ml.common.param.HasOutputCols
getOutputStreams() - Method in class org.apache.flink.iteration.IterationBodyResult
getP() - Method in interface org.apache.flink.ml.feature.normalizer.NormalizerParams
getParam(String) - Method in interface org.apache.flink.ml.param.WithParams: Gets the parameter by its name.
getParamMap() - Method in class org.apache.flink.ml.benchmark.datagenerator.clustering.KMeansModelDataGenerator
getParamMap() - Method in class org.apache.flink.ml.benchmark.datagenerator.common.InputTableGenerator
getParamMap() - Method in class org.apache.flink.ml.builder.Graph
getParamMap() - Method in class org.apache.flink.ml.builder.GraphModel
getParamMap() - Method in class org.apache.flink.ml.builder.Pipeline
getParamMap() - Method in class org.apache.flink.ml.builder.PipelineModel
getParamMap() - Method in class org.apache.flink.ml.classification.knn.Knn
getParamMap() - Method in class org.apache.flink.ml.classification.knn.KnnModel
getParamMap() - Method in class org.apache.flink.ml.classification.linearsvc.LinearSVC
getParamMap() - Method in class org.apache.flink.ml.classification.linearsvc.LinearSVCModel
getParamMap() - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegression
getParamMap() - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel
getParamMap() - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelServable
getParamMap() - Method in class org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegression
getParamMap() - Method in class org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionModel
getParamMap() - Method in class org.apache.flink.ml.classification.naivebayes.NaiveBayes
getParamMap() - Method in class org.apache.flink.ml.classification.naivebayes.NaiveBayesModel
getParamMap() - Method in class org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClustering
getParamMap() - Method in class org.apache.flink.ml.clustering.kmeans.KMeans
getParamMap() - Method in class org.apache.flink.ml.clustering.kmeans.KMeansModel
getParamMap() - Method in class org.apache.flink.ml.clustering.kmeans.OnlineKMeans
getParamMap() - Method in class org.apache.flink.ml.clustering.kmeans.OnlineKMeansModel
getParamMap() - Method in class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator
getParamMap() - Method in class org.apache.flink.ml.feature.binarizer.Binarizer
getParamMap() - Method in class org.apache.flink.ml.feature.bucketizer.Bucketizer
getParamMap() - Method in class org.apache.flink.ml.feature.countvectorizer.CountVectorizer
getParamMap() - Method in class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModel
getParamMap() - Method in class org.apache.flink.ml.feature.dct.DCT
getParamMap() - Method in class org.apache.flink.ml.feature.elementwiseproduct.ElementwiseProduct
getParamMap() - Method in class org.apache.flink.ml.feature.featurehasher.FeatureHasher
getParamMap() - Method in class org.apache.flink.ml.feature.hashingtf.HashingTF
getParamMap() - Method in class org.apache.flink.ml.feature.idf.IDF
getParamMap() - Method in class org.apache.flink.ml.feature.idf.IDFModel
getParamMap() - Method in class org.apache.flink.ml.feature.imputer.Imputer
getParamMap() - Method in class org.apache.flink.ml.feature.imputer.ImputerModel
getParamMap() - Method in class org.apache.flink.ml.feature.interaction.Interaction
getParamMap() - Method in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizer
getParamMap() - Method in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModel
getParamMap() - Method in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScaler
getParamMap() - Method in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModel
getParamMap() - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScaler
getParamMap() - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModel
getParamMap() - Method in class org.apache.flink.ml.feature.ngram.NGram
getParamMap() - Method in class org.apache.flink.ml.feature.normalizer.Normalizer
getParamMap() - Method in class org.apache.flink.ml.feature.onehotencoder.OneHotEncoder
getParamMap() - Method in class org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModel
getParamMap() - Method in class org.apache.flink.ml.feature.polynomialexpansion.PolynomialExpansion
getParamMap() - Method in class org.apache.flink.ml.feature.randomsplitter.RandomSplitter
getParamMap() - Method in class org.apache.flink.ml.feature.regextokenizer.RegexTokenizer
getParamMap() - Method in class org.apache.flink.ml.feature.robustscaler.RobustScaler
getParamMap() - Method in class org.apache.flink.ml.feature.robustscaler.RobustScalerModel
getParamMap() - Method in class org.apache.flink.ml.feature.sqltransformer.SQLTransformer
getParamMap() - Method in class org.apache.flink.ml.feature.standardscaler.OnlineStandardScaler
getParamMap() - Method in class org.apache.flink.ml.feature.standardscaler.OnlineStandardScalerModel
getParamMap() - Method in class org.apache.flink.ml.feature.standardscaler.StandardScaler
getParamMap() - Method in class org.apache.flink.ml.feature.standardscaler.StandardScalerModel
getParamMap() - Method in class org.apache.flink.ml.feature.stopwordsremover.StopWordsRemover
getParamMap() - Method in class org.apache.flink.ml.feature.stringindexer.IndexToStringModel
getParamMap() - Method in class org.apache.flink.ml.feature.stringindexer.StringIndexer
getParamMap() - Method in class org.apache.flink.ml.feature.stringindexer.StringIndexerModel
getParamMap() - Method in class org.apache.flink.ml.feature.tokenizer.Tokenizer
getParamMap() - Method in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelector
getParamMap() - Method in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModel
getParamMap() - Method in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelector
getParamMap() - Method in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModel
getParamMap() - Method in class org.apache.flink.ml.feature.vectorassembler.VectorAssembler
getParamMap() - Method in class org.apache.flink.ml.feature.vectorindexer.VectorIndexer
getParamMap() - Method in class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModel
getParamMap() - Method in class org.apache.flink.ml.feature.vectorslicer.VectorSlicer
getParamMap() - Method in interface org.apache.flink.ml.param.WithParams: Returns a map which should contain value for every parameter that meets one of the following conditions.
getParamMap() - Method in class org.apache.flink.ml.recommendation.swing.Swing
getParamMap() - Method in class org.apache.flink.ml.regression.linearregression.LinearRegression
getParamMap() - Method in class org.apache.flink.ml.regression.linearregression.LinearRegressionModel
getParamMap() - Method in class org.apache.flink.ml.servable.builder.PipelineModelServable
getParamMap() - Method in class org.apache.flink.ml.stats.anovatest.ANOVATest
getParamMap() - Method in class org.apache.flink.ml.stats.chisqtest.ChiSqTest
getParamMap() - Method in class org.apache.flink.ml.stats.fvaluetest.FValueTest
getPartitionedState(N, TypeSerializer<N>, StateDescriptor<S, ?>) - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
getPathForPipelineStage(int, int, String) - Static method in class org.apache.flink.ml.util.FileUtils
getPathSupplier() - Method in class org.apache.flink.iteration.checkpoint.Checkpoints
getPattern() - Method in interface org.apache.flink.ml.feature.regextokenizer.RegexTokenizerParams
getPickledBytesFromJavaObject(Object, TypeInformation<?>) - Static method in class org.apache.flink.ml.python.PythonBridgeUtils
getPosition() - Method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheReader
getPredictionCol() - Method in interface org.apache.flink.ml.common.param.HasPredictionCol
getProducedType() - Method in class org.apache.flink.ml.classification.knn.KnnModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.classification.linearsvc.LinearSVCModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelDataUtil.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.clustering.kmeans.KMeansModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.feature.idf.IDFModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.feature.imputer.ImputerModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModelData.ModelDataStreamFormat
getProducedType() - Method in class org.apache.flink.ml.feature.robustscaler.RobustScalerModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.feature.standardscaler.StandardScalerModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.feature.stringindexer.StringIndexerModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModelData.ModelDataDecoder
getProducedType() - Method in class org.apache.flink.ml.regression.linearregression.LinearRegressionModelData.ModelDataDecoder
getPublicFinalParamFields(Object) - Static method in class org.apache.flink.ml.util.ParamUtils: Finds all public final fields of the Param class type of the given object, including those fields inherited from its interfaces and super-classes, and returns those Param instances as a list.
getRawKeyedOperatorStateOutput() - Method in class org.apache.flink.iteration.proxy.state.ProxyStateSnapshotContext
getRawOperatorStateOutput() - Method in class org.apache.flink.iteration.proxy.state.ProxyStateSnapshotContext
getRawPredictionCol() - Method in interface org.apache.flink.ml.common.param.HasRawPredictionCol
getReaderPosition() - Method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheSnapshot
getRecord() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
getRecordWriter(Object) - Method in class org.apache.flink.iteration.broadcast.OutputReflectionContext
getRecordWriterTypeSerializer(Object) - Method in class org.apache.flink.iteration.broadcast.OutputReflectionContext
getReg() - Method in interface org.apache.flink.ml.common.param.HasReg
getRegisteredBroadcastStateNames() - Method in class org.apache.flink.iteration.proxy.state.ProxyOperatorStateBackend
getRegisteredStateNames() - Method in class org.apache.flink.iteration.proxy.state.ProxyOperatorStateBackend
getRelativeError() - Method in interface org.apache.flink.ml.common.param.HasRelativeError
getRelativeError() - Method in class org.apache.flink.ml.common.util.QuantileSummary
getRestoredCheckpointId() - Method in class org.apache.flink.iteration.proxy.state.ProxyStreamOperatorStateContext
getRow() - Method in class org.apache.flink.ml.benchmark.datagenerator.common.RowGenerator: Generates a new data point.
getRowGenerators() - Method in class org.apache.flink.ml.benchmark.datagenerator.common.DenseVectorArrayGenerator
getRowGenerators() - Method in class org.apache.flink.ml.benchmark.datagenerator.common.DenseVectorGenerator
getRowGenerators() - Method in class org.apache.flink.ml.benchmark.datagenerator.common.DoubleGenerator
getRowGenerators() - Method in class org.apache.flink.ml.benchmark.datagenerator.common.InputTableGenerator: Gets generators for all input tables.
getRowGenerators() - Method in class org.apache.flink.ml.benchmark.datagenerator.common.LabeledPointWithWeightGenerator
getRowGenerators() - Method in class org.apache.flink.ml.benchmark.datagenerator.common.RandomStringArrayGenerator
getRowGenerators() - Method in class org.apache.flink.ml.benchmark.datagenerator.common.RandomStringGenerator
getRowTypeInfo() - Method in class org.apache.flink.ml.benchmark.datagenerator.common.RowGenerator: Returns the output type information for this generator.
getRowTypeInfo(ResolvedSchema) - Static method in class org.apache.flink.ml.common.datastream.TableUtils
getSampled() - Method in class org.apache.flink.ml.common.util.QuantileSummary
getScalingVec() - Method in interface org.apache.flink.ml.feature.elementwiseproduct.ElementwiseProductParams
getSeed() - Method in interface org.apache.flink.ml.common.param.HasSeed
getSegments() - Method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheSnapshot
getSegments() - Method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheWriter: Flushes all added records to segments and returns a list of segments containing all cached records.
getSelectionMode() - Method in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
getSelectionThreshold() - Method in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
getSender() - Method in class org.apache.flink.iteration.IterationRecord
getSize() - Method in class org.apache.flink.ml.common.window.CountTumblingWindows
getSize() - Method in class org.apache.flink.ml.common.window.EventTimeTumblingWindows
getSize() - Method in class org.apache.flink.ml.common.window.ProcessingTimeTumblingWindows
getSmoothing() - Method in interface org.apache.flink.ml.classification.naivebayes.NaiveBayesParams
getSplitsArray() - Method in interface org.apache.flink.ml.feature.bucketizer.BucketizerParams
getStatement() - Method in interface org.apache.flink.ml.feature.sqltransformer.SQLTransformerParams
getStatus() - Method in class org.apache.flink.iteration.operator.HeadOperator
getStopWords() - Method in interface org.apache.flink.ml.feature.stopwordsremover.StopWordsRemoverParams
getStrategy() - Method in interface org.apache.flink.ml.feature.imputer.ImputerParams
getStrategy() - Method in interface org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerParams
getStreamConfig() - Method in interface org.apache.flink.iteration.operator.headprocessor.HeadOperatorRecordProcessor.Context
getStreamOperatorClass(ClassLoader, StreamOperatorFactory<T>) - Method in class org.apache.flink.iteration.operator.allround.AllRoundOperatorWrapper
getStreamOperatorClass(ClassLoader) - Method in class org.apache.flink.iteration.operator.HeadOperatorFactory
getStreamOperatorClass(ClassLoader, StreamOperatorFactory<T>) - Method in interface org.apache.flink.iteration.operator.OperatorWrapper
getStreamOperatorClass(ClassLoader, StreamOperatorFactory<T>) - Method in class org.apache.flink.iteration.operator.perround.PerRoundOperatorWrapper
getStreamOperatorClass(ClassLoader) - Method in class org.apache.flink.iteration.operator.WrapperOperatorFactory
getStreamOperatorClass(ClassLoader) - Method in class org.apache.flink.ml.common.broadcast.operator.BroadcastVariableReceiverOperatorFactory
getStreamOperatorClass(ClassLoader, StreamOperatorFactory<T>) - Method in class org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper
getStringOrderType() - Method in interface org.apache.flink.ml.feature.stringindexer.StringIndexerParams
getSubSamples() - Method in interface org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerParams
getTaskInfo() - Method in interface org.apache.flink.iteration.operator.headprocessor.HeadOperatorRecordProcessor.Context
getTerminationCriteria() - Method in class org.apache.flink.iteration.IterationBodyResult
getThreshold() - Method in interface org.apache.flink.ml.classification.linearsvc.LinearSVCModelParams
getThresholds() - Method in interface org.apache.flink.ml.feature.binarizer.BinarizerParams
getTol() - Method in interface org.apache.flink.ml.common.param.HasTol
getToLowercase() - Method in interface org.apache.flink.ml.feature.regextokenizer.RegexTokenizerParams
getTotalFields() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo
getTotalFields() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
getTotalFields() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueTypeInfo
getTotalFields() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfo
getTotalFields() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfo
getTotalFields() - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfo
getTotalFields() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfo
getTotalFields() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormTypeInfo
getType() - Method in class org.apache.flink.iteration.IterationRecord
getType() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
getTypeClass() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo
getTypeClass() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
getTypeClass() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueTypeInfo
getTypeClass() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfo
getTypeClass() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfo
getTypeClass() - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfo
getTypeClass() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfo
getTypeClass() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormTypeInfo
getTypeInference(DataTypeFactory) - Method in class org.apache.flink.ml.benchmark.datagenerator.clustering.KMeansModelDataGenerator.GenerateWeightsFunction
getTypeInference(DataTypeFactory) - Method in class org.apache.flink.ml.Functions.ArrayToVectorFunction
getTypeInference(DataTypeFactory) - Method in class org.apache.flink.ml.Functions.VectorToArrayFunction
getTypeInfoByName(ResolvedSchema, String) - Static method in class org.apache.flink.ml.common.datastream.TableUtils
getTypeSerializer() - Method in class org.apache.flink.iteration.checkpoint.Checkpoints
getUnionListState(ListStateDescriptor<S>) - Method in class org.apache.flink.iteration.proxy.state.ProxyOperatorStateBackend
getUniqueElement(ListState<T>, String) - Static method in class org.apache.flink.iteration.operator.OperatorStateUtils
getUniqueSenderId(OperatorID, int) - Static method in class org.apache.flink.iteration.operator.OperatorUtils: Returns the unique id for the specified operator.
getUpper() - Method in interface org.apache.flink.ml.feature.robustscaler.RobustScalerParams
getUserCol() - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
getValue() - Method in class org.apache.flink.iteration.IterationRecord
getVarianceThreshold() - Method in interface org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorParams
getVectorDim() - Method in interface org.apache.flink.ml.benchmark.datagenerator.param.HasVectorDim
getVocabularySize() - Method in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerParams
getWatermark() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
getWeight() - Method in class org.apache.flink.ml.common.feature.LabeledPointWithWeight
getWeightCol() - Method in interface org.apache.flink.ml.common.param.HasWeightCol
getWeights() - Method in interface org.apache.flink.ml.feature.randomsplitter.RandomSplitterParams
getWindows() - Method in interface org.apache.flink.ml.common.param.HasWindows
getWindowSerializer(ExecutionConfig) - Method in class org.apache.flink.ml.common.datastream.EndOfStreamWindows
getWithCentering() - Method in interface org.apache.flink.ml.feature.robustscaler.RobustScalerModelParams
getWithMean() - Method in interface org.apache.flink.ml.feature.standardscaler.StandardScalerParams
getWithScaling() - Method in interface org.apache.flink.ml.feature.robustscaler.RobustScalerModelParams
getWithStd() - Method in interface org.apache.flink.ml.feature.standardscaler.StandardScalerParams
getWrappedKeySelector() - Method in class org.apache.flink.iteration.proxy.ProxyKeySelector
getWrappedOperator(int) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
getWrappedOperator(int) - Method in class org.apache.flink.iteration.operator.perround.MultipleInputPerRoundWrapperOperator
getWrappedOperators() - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
getWrappedTypeInfo(TypeInformation<T>) - Method in class org.apache.flink.iteration.operator.allround.AllRoundOperatorWrapper
getWrappedTypeInfo(TypeInformation<T>) - Method in interface org.apache.flink.iteration.operator.OperatorWrapper
getWrappedTypeInfo(TypeInformation<T>) - Method in class org.apache.flink.iteration.operator.perround.PerRoundOperatorWrapper
getWrappedTypeInfo(TypeInformation<T>) - Method in class org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper
getWrapper() - Method in class org.apache.flink.iteration.operator.WrapperOperatorFactory
GLOBAL_BATCH_SIZE - Static variable in interface org.apache.flink.ml.common.param.HasGlobalBatchSize
GloballyAlignedEvent - Class in org.apache.flink.iteration.operator.event: The event sent from HeadOperatorCoordinator to HeadOperator to notify a round is globally aligned and whether the iteration should terminate.
GloballyAlignedEvent(int, boolean) - Constructor for class org.apache.flink.iteration.operator.event.GloballyAlignedEvent
GlobalWindows - Class in org.apache.flink.ml.common.window: A windowing strategy that groups all elements into a single global window.
Graph - Class in org.apache.flink.ml.builder: A Graph acts as an Estimator.
Graph(List<GraphNode>, TableId[], TableId[], TableId[], TableId[], TableId[]) - Constructor for class org.apache.flink.ml.builder.Graph
GraphBuilder - Class in org.apache.flink.ml.builder: A GraphBuilder provides APIs to build Estimator/Model/AlgoOperator from a DAG of stages, each of which could be an Estimator, Model, Transformer or AlgoOperator.
GraphBuilder() - Constructor for class org.apache.flink.ml.builder.GraphBuilder
GraphData - Class in org.apache.flink.ml.builder: This class contains fields that can be used to re-construct Graph and GraphModel.
GraphData(List<GraphNode>, TableId[], TableId[], TableId[], TableId[], TableId[]) - Constructor for class org.apache.flink.ml.builder.GraphData
GraphModel - Class in org.apache.flink.ml.builder: A GraphModel acts as a Model.
GraphModel(List<GraphNode>, TableId[], TableId[], TableId[], TableId[]) - Constructor for class org.apache.flink.ml.builder.GraphModel
GraphNode - Class in org.apache.flink.ml.builder: The Graph node class.
GraphNode(int, Stage<?>, GraphNode.StageType, TableId[], TableId[], TableId[], TableId[], TableId[]) - Constructor for class org.apache.flink.ml.builder.GraphNode
GraphNode.StageType - Enum in org.apache.flink.ml.builder: This class specifies whether a node should be used as Estimator or AlgoOperator.
gt(double) - Static method in class org.apache.flink.ml.param.ParamValidators
gtEq(double) - Static method in class org.apache.flink.ml.param.ParamValidators

H

HANDLE_INVALID - Static variable in interface org.apache.flink.ml.common.param.HasHandleInvalid
handleEventFromOperator(int, int, OperatorEvent) - Method in class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator
handleOperatorEvent(OperatorEvent) - Method in class org.apache.flink.iteration.operator.HeadOperator
HasArraySize<T> - Interface in org.apache.flink.ml.benchmark.datagenerator.param: Interface for the benchmark array size param.
HasBatchStrategy<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared batch strategy param.
hasBroadcastVariable(String) - Method in class org.apache.flink.ml.common.broadcast.BroadcastStreamingRuntimeContext
HasCategoricalCols<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared categoricalCols param.
HasDecayFactor<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared decay factor param.
HasDistanceMeasure<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared distanceMeasure param.
HasElasticNet<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared elasticNet param, which specifies the mixing of L1 and L2 penalty: If the value is zero, it is L2 penalty.
HasFeaturesCol<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared featuresCol param.
HasFlatten<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared flatten param.
HasGlobalBatchSize<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared global batch size param.
hash(Tuple2<byte[], StreamRecord<IN>>) - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
hash(Tuple2<byte[], StreamRecord<IN>>) - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
HasHandleInvalid<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared handleInvalid param.
hashCode() - Method in class org.apache.flink.iteration.datacache.nonkeyed.Segment
hashCode() - Method in class org.apache.flink.iteration.IterationRecord
hashCode() - Method in class org.apache.flink.iteration.operator.event.CoordinatorCheckpointEvent
hashCode() - Method in class org.apache.flink.iteration.operator.event.GloballyAlignedEvent
hashCode() - Method in class org.apache.flink.iteration.operator.event.SubtaskAlignedEvent
hashCode() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
hashCode() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo
hashCode() - Method in class org.apache.flink.ml.builder.GraphNode
hashCode() - Method in class org.apache.flink.ml.builder.TableId
hashCode() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
hashCode() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
hashCode() - Method in class org.apache.flink.ml.common.datastream.sort.KeyAndValueSerializer
hashCode() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueSerializer
hashCode() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueTypeInfo
hashCode() - Method in class org.apache.flink.ml.common.window.CountTumblingWindows
hashCode() - Method in class org.apache.flink.ml.common.window.EventTimeSessionWindows
hashCode() - Method in class org.apache.flink.ml.common.window.EventTimeTumblingWindows
hashCode() - Method in class org.apache.flink.ml.common.window.GlobalWindows
hashCode() - Method in class org.apache.flink.ml.common.window.ProcessingTimeSessionWindows
hashCode() - Method in class org.apache.flink.ml.common.window.ProcessingTimeTumblingWindows
hashCode() - Method in class org.apache.flink.ml.linalg.DenseVector
hashCode() - Method in class org.apache.flink.ml.linalg.SparseVector
hashCode() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfo
hashCode() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer
hashCode() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfo
hashCode() - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfo
hashCode() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfo
hashCode() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormSerializer
hashCode() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormTypeInfo
hashCode() - Method in class org.apache.flink.ml.param.Param
hashFunction(Vector) - Method in class org.apache.flink.ml.feature.lsh.MinHashLSHModelData
HashingTF - Class in org.apache.flink.ml.feature.hashingtf: A Transformer that maps a sequence of terms(strings, numbers, booleans) to a sparse vector with a specified dimension using the hashing trick.
HashingTF() - Constructor for class org.apache.flink.ml.feature.hashingtf.HashingTF
HashingTF.HashTFFunction - Class in org.apache.flink.ml.feature.hashingtf: The main logic of HashingTF, which converts the input to a sparse vector.
HashingTFExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a HashingTF instance and uses it for feature engineering.
HashingTFExample() - Constructor for class org.apache.flink.ml.examples.feature.HashingTFExample
HashingTFParams<T> - Interface in org.apache.flink.ml.feature.hashingtf: Params of HashingTF.
HashTFFunction(String, boolean, int) - Constructor for class org.apache.flink.ml.feature.hashingtf.HashingTF.HashTFFunction
HasInputCol<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared inputCol param.
HasInputCols<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared inputCols param.
HasLabelCol<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared label column param.
HasLearningRate<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared learning rate param.
HasMaxAllowedModelDelayMs<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared max allowed model delay in milliseconds param.
HasMaxIter<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared maxIter param.
HasModelVersionCol<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared model version column param.
HasMultiClass<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared multi-class param.
hasNext() - Method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheReader
HasNumDistinctValues<T> - Interface in org.apache.flink.ml.benchmark.datagenerator.param: Interface for the benchmark num distinct values param.
HasNumFeatures<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared num features param.
HasOutputCol<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared outputCol param.
HasOutputCols<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared outputCols param.
HasPredictionCol<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared prediction column param.
HasRawPredictionCol<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared raw prediction column param.
HasReg<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared regularization param.
HasRelativeError<T> - Interface in org.apache.flink.ml.common.param: Interface for shared param relativeError.
HasSeed<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared seed param.
HasTol<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared tolerance param.
HasVectorDim<T> - Interface in org.apache.flink.ml.benchmark.datagenerator.param: Interface for the benchmark vector dimension param.
HasWeightCol<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared weight column param.
HasWindows<T> - Interface in org.apache.flink.ml.common.param: Interface for the shared windows param.
hDot(Vector, Vector) - Static method in class org.apache.flink.ml.linalg.BLAS: Computes the hadamard product of the two vectors (y = y \hdot x).
HeadOperator - Class in org.apache.flink.iteration.operator: The head operator unions the initialized variable stream and the feedback stream, synchronize the epoch watermark (round) and taking care of the checkpoints.
HeadOperator(IterationID, int, boolean, MailboxExecutor, OperatorEventGateway, ProcessingTimeService) - Constructor for class org.apache.flink.iteration.operator.HeadOperator
HeadOperatorCoordinator - Class in org.apache.flink.iteration.operator.coordinator: The OperatorCoordinator of the HeadOperator, it notifies the SharedProgressAligner when received aligned event from the operator, and emit the globally aligned event back after one round is globally aligned.
HeadOperatorCoordinator(OperatorCoordinator.Context, SharedProgressAligner) - Constructor for class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator
HeadOperatorCoordinator.HeadOperatorCoordinatorProvider - Class in org.apache.flink.iteration.operator.coordinator: The factory of HeadOperatorCoordinator.
HeadOperatorCoordinatorProvider(OperatorID, IterationID, int) - Constructor for class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator.HeadOperatorCoordinatorProvider
HeadOperatorFactory - Class in org.apache.flink.iteration.operator: The Factory for the HeadOperator.
HeadOperatorFactory(IterationID, int, boolean, int) - Constructor for class org.apache.flink.iteration.operator.HeadOperatorFactory
HeadOperatorRecordProcessor - Interface in org.apache.flink.iteration.operator.headprocessor: The component to actually deal with the event received in the HeadOperator.
HeadOperatorRecordProcessor.Context - Interface in org.apache.flink.iteration.operator.headprocessor: The context for HeadOperatorRecordProcessor.
HeadOperatorState - Class in org.apache.flink.iteration.operator.headprocessor: The state entry for the head operator.
HeadOperatorState() - Constructor for class org.apache.flink.iteration.operator.headprocessor.HeadOperatorState
HeadOperatorState(Map<Integer, Long>, int, int) - Constructor for class org.apache.flink.iteration.operator.headprocessor.HeadOperatorState
HingeLoss - Class in org.apache.flink.ml.common.lossfunc: The loss function for hinge loss.

I

id - Variable in class org.apache.flink.ml.builder.TableId
IDF - Class in org.apache.flink.ml.feature.idf: An Estimator that computes the inverse document frequency (IDF) for the input documents.
IDF() - Constructor for class org.apache.flink.ml.feature.idf.IDF
idf - Variable in class org.apache.flink.ml.feature.idf.IDFModelData: Inverse document frequency for all terms.
IDFExample - Class in org.apache.flink.ml.examples.feature: Simple program that trains an IDF model and uses it for feature engineering.
IDFExample() - Constructor for class org.apache.flink.ml.examples.feature.IDFExample
IDFModel - Class in org.apache.flink.ml.feature.idf: A Model which transforms data using the model data computed by IDF.
IDFModel() - Constructor for class org.apache.flink.ml.feature.idf.IDFModel
IDFModelData - Class in org.apache.flink.ml.feature.idf: Model data of IDFModel.
IDFModelData() - Constructor for class org.apache.flink.ml.feature.idf.IDFModelData
IDFModelData(DenseVector, long[], long) - Constructor for class org.apache.flink.ml.feature.idf.IDFModelData
IDFModelData.ModelDataDecoder - Class in org.apache.flink.ml.feature.idf: Decoder for IDFModelData.
IDFModelData.ModelDataEncoder - Class in org.apache.flink.ml.feature.idf: Encoder for IDFModelData.
IDFModelParams<T> - Interface in org.apache.flink.ml.feature.idf: Params for IDFModel.
IDFParams<T> - Interface in org.apache.flink.ml.feature.idf: Params for IDF.
Imputer - Class in org.apache.flink.ml.feature.imputer: The imputer for completing missing values of the input columns.
Imputer() - Constructor for class org.apache.flink.ml.feature.imputer.Imputer
ImputerExample - Class in org.apache.flink.ml.examples.feature: Simple program that trains a Imputer model and uses it for feature engineering.
ImputerExample() - Constructor for class org.apache.flink.ml.examples.feature.ImputerExample
ImputerModel - Class in org.apache.flink.ml.feature.imputer: A Model which replaces the missing values using the model data computed by Imputer.
ImputerModel() - Constructor for class org.apache.flink.ml.feature.imputer.ImputerModel
ImputerModelData - Class in org.apache.flink.ml.feature.imputer: Model data of ImputerModel.
ImputerModelData() - Constructor for class org.apache.flink.ml.feature.imputer.ImputerModelData
ImputerModelData(Map<String, Double>) - Constructor for class org.apache.flink.ml.feature.imputer.ImputerModelData
ImputerModelData.ModelDataDecoder - Class in org.apache.flink.ml.feature.imputer: Decoder for ImputerModelData.
ImputerModelData.ModelDataEncoder - Class in org.apache.flink.ml.feature.imputer: Encoder for ImputerModelData.
ImputerModelParams<T> - Interface in org.apache.flink.ml.feature.imputer: Params for ImputerModel.
ImputerParams<T> - Interface in org.apache.flink.ml.feature.imputer: Params of Imputer.
inArray(T...) - Static method in class org.apache.flink.ml.param.ParamValidators
incrementEpoch() - Method in class org.apache.flink.iteration.IterationRecord
indexOfSubtask - Variable in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: Index of this subtask.
IndexToStringModel - Class in org.apache.flink.ml.feature.stringindexer: A Model which transforms input index column(s) to string column(s) using the model data computed by StringIndexer.
IndexToStringModel() - Constructor for class org.apache.flink.ml.feature.stringindexer.IndexToStringModel
IndexToStringModelExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates an IndexToStringModelExample instance and uses it for feature engineering.
IndexToStringModelExample() - Constructor for class org.apache.flink.ml.examples.feature.IndexToStringModelExample
IndexToStringModelParams<T> - Interface in org.apache.flink.ml.feature.stringindexer: Params for IndexToStringModel.
indices - Variable in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModelData: Indices of the input features that are selected.
indices - Variable in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModelData
INDICES - Static variable in interface org.apache.flink.ml.feature.vectorslicer.VectorSlicerParams
indices - Variable in class org.apache.flink.ml.linalg.SparseVector
indicesValidator() - Static method in interface org.apache.flink.ml.feature.vectorslicer.VectorSlicerParams
INIT_MODE - Static variable in interface org.apache.flink.ml.clustering.kmeans.KMeansParams
initializeMapWithDefaultValues(Map<Param<?>, Object>, WithParams<?>) - Static method in class org.apache.flink.ml.util.ParamUtils: Updates the paramMap with default values of all public final Param-typed fields of the given instance.
initializeState(StreamTaskStateInitializer) - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
initializeState(StateInitializationContext) - Method in class org.apache.flink.iteration.operator.HeadOperator
initializeState(HeadOperatorState, Iterable<StatePartitionStreamProvider>) - Method in interface org.apache.flink.iteration.operator.headprocessor.HeadOperatorRecordProcessor
initializeState(HeadOperatorState, Iterable<StatePartitionStreamProvider>) - Method in class org.apache.flink.iteration.operator.headprocessor.RegularHeadOperatorRecordProcessor
initializeState(HeadOperatorState, Iterable<StatePartitionStreamProvider>) - Method in class org.apache.flink.iteration.operator.headprocessor.TerminatingHeadOperatorRecordProcessor
initializeState(StreamTaskStateInitializer) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
initializeState(StateInitializationContext) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
initializeState(StateInitializationContext) - Method in class org.apache.flink.iteration.operator.ReplayOperator
initializeState(StreamTaskStateInitializer) - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
initializeState(StateInitializationContext) - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
initializeState(StateInitializationContext) - Method in class org.apache.flink.ml.common.broadcast.operator.BroadcastVariableReceiverOperator
initializeState(StateInitializationContext) - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScaler.MinMaxReduceFunctionOperator
INPUT_COL - Static variable in interface org.apache.flink.ml.common.param.HasInputCol
INPUT_COLS - Static variable in interface org.apache.flink.ml.common.param.HasInputCols
INPUT_SIZES - Static variable in interface org.apache.flink.ml.feature.vectorassembler.VectorAssemblerParams
InputDataGenerator<T extends InputDataGenerator<T>> - Interface in org.apache.flink.ml.benchmark.datagenerator: Interface for generating data as input table arrays.
inputModelDataIds - Variable in class org.apache.flink.ml.builder.GraphData
inputModelDataIds - Variable in class org.apache.flink.ml.builder.GraphNode
InputOperator<T> - Class in org.apache.flink.iteration.operator: Input operator that wraps the user record into IterationRecord.
InputOperator() - Constructor for class org.apache.flink.iteration.operator.InputOperator
inputRecordNum - Variable in class org.apache.flink.ml.benchmark.BenchmarkResult: The total number of input records.
InputTableGenerator<T extends InputTableGenerator<T>> - Class in org.apache.flink.ml.benchmark.datagenerator.common: Base class for generating data as input table arrays.
InputTableGenerator() - Constructor for class org.apache.flink.ml.benchmark.datagenerator.common.InputTableGenerator
inputThroughput - Variable in class org.apache.flink.ml.benchmark.BenchmarkResult: The average input throughput in number of records per second.
inRange(double, double, boolean, boolean) - Static method in class org.apache.flink.ml.param.ParamValidators: Check if the parameter value is in the range from lowerBound to upperBound.
inRange(double, double) - Static method in class org.apache.flink.ml.param.ParamValidators
insert(double) - Method in class org.apache.flink.ml.common.util.QuantileSummary: Insert a new observation into the summary.
INSTANCE - Static variable in class org.apache.flink.iteration.operator.event.TerminatingOnInitializeEvent
INSTANCE - Static variable in class org.apache.flink.ml.common.lossfunc.BinaryLogisticLoss
INSTANCE - Static variable in class org.apache.flink.ml.common.lossfunc.HingeLoss
INSTANCE - Static variable in class org.apache.flink.ml.common.lossfunc.LeastSquareLoss
INSTANCE - Static variable in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixSerializer
INSTANCE - Static variable in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfo
INSTANCE - Static variable in class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfo
INSTANCE - Static variable in class org.apache.flink.ml.linalg.typeinfo.SparseVectorSerializer
INSTANCE - Static variable in class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfo
INSTANCE - Static variable in class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfo
instances - Static variable in class org.apache.flink.iteration.operator.coordinator.SharedProgressAligner
instantiateWithParams(Map<String, ?>) - Static method in class org.apache.flink.ml.util.ParamUtils: Instantiates a WithParams subclass from the provided json map.
INT - Static variable in class org.apache.flink.ml.servable.types.DataTypes
IntArrayParam - Class in org.apache.flink.ml.param: Class for the integer array parameter.
IntArrayParam(String, String, Integer[], ParamValidator<Integer[]>) - Constructor for class org.apache.flink.ml.param.IntArrayParam
IntArrayParam(String, String, Integer[]) - Constructor for class org.apache.flink.ml.param.IntArrayParam
Interaction - Class in org.apache.flink.ml.feature.interaction: A Transformer that takes vector or numerical columns, and generates a single vector column that contains the product of all combinations of one value from each input column.
Interaction() - Constructor for class org.apache.flink.ml.feature.interaction.Interaction
InteractionExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates an Interaction instance and uses it for feature engineering.
InteractionExample() - Constructor for class org.apache.flink.ml.examples.feature.InteractionExample
InteractionParams<T> - Interface in org.apache.flink.ml.feature.interaction: Params of Interaction.
internalTimerServiceManager() - Method in class org.apache.flink.iteration.proxy.state.ProxyStreamOperatorStateContext
IntParam - Class in org.apache.flink.ml.param: Class for the integer parameter.
IntParam(String, String, Integer, ParamValidator<Integer>) - Constructor for class org.apache.flink.ml.param.IntParam
IntParam(String, String, Integer) - Constructor for class org.apache.flink.ml.param.IntParam
INVERSE - Static variable in interface org.apache.flink.ml.feature.dct.DCTParams
invertNormalizedKey() - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
invertNormalizedKey() - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
isBasicType() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo
isBasicType() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
isBasicType() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueTypeInfo
isBasicType() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfo
isBasicType() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfo
isBasicType() - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfo
isBasicType() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfo
isBasicType() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormTypeInfo
isBroadcastingOutput(Output<?>) - Method in class org.apache.flink.iteration.broadcast.OutputReflectionContext
isCacheFinished(String) - Static method in class org.apache.flink.ml.common.broadcast.BroadcastContext
isChainingOutput(Output<?>) - Method in class org.apache.flink.iteration.broadcast.OutputReflectionContext
isCompressed() - Method in class org.apache.flink.ml.common.util.QuantileSummary
isCountingOutput(Output<?>) - Method in class org.apache.flink.iteration.broadcast.OutputReflectionContext
isCriteriaStream() - Method in class org.apache.flink.iteration.operator.event.SubtaskAlignedEvent
isEmpty() - Method in class org.apache.flink.ml.common.util.QuantileSummary: Checks whether the QuantileSummary has inserted rows.
isEventTime() - Method in class org.apache.flink.ml.common.datastream.EndOfStreamWindows
isImmutableType() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
isImmutableType() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
isImmutableType() - Method in class org.apache.flink.ml.common.datastream.sort.KeyAndValueSerializer
isImmutableType() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueSerializer
isImmutableType() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixSerializer
isImmutableType() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer
isImmutableType() - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorSerializer
isImmutableType() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorSerializer
isImmutableType() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormSerializer
isKeyType() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo
isKeyType() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
isKeyType() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueTypeInfo
isKeyType() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfo
isKeyType() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfo
isKeyType() - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfo
isKeyType() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfo
isKeyType() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormTypeInfo
isNormalizedKeyPrefixOnly(int) - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
isNormalizedKeyPrefixOnly(int) - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
isPointwise() - Method in class org.apache.flink.iteration.proxy.ProxyStreamPartitioner
isRecordWriterOutput(Output<?>) - Method in class org.apache.flink.iteration.broadcast.OutputReflectionContext
isRestored() - Method in class org.apache.flink.iteration.proxy.state.ProxyStreamOperatorStateContext
isSubSet(T...) - Static method in class org.apache.flink.ml.param.ParamValidators
isTerminated() - Method in class org.apache.flink.iteration.operator.event.GloballyAlignedEvent
isTupleType() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo
isTupleType() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
isTupleType() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueTypeInfo
isTupleType() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfo
isTupleType() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfo
isTupleType() - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfo
isTupleType() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfo
isTupleType() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormTypeInfo
isUsingCustomRawKeyedState() - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
ITEM_COL - Static variable in interface org.apache.flink.ml.recommendation.swing.SwingParams
iterateBoundedStreamsUntilTermination(DataStreamList, ReplayableDataStreamList, IterationConfig, IterationBody) - Static method in class org.apache.flink.iteration.Iterations: This method uses an iteration body to process records in some bounded data streams iteratively until no more records are iterating or the given terminating criteria stream is empty in one round.
iterateUnboundedStreams(DataStreamList, DataStreamList, IterationBody) - Static method in class org.apache.flink.iteration.Iterations: This method uses an iteration body to process records in possibly unbounded data streams.
IterationBody - Interface in org.apache.flink.iteration: The builder of the subgraph that will be executed inside the iteration.
IterationBody.PerRoundSubBody - Interface in org.apache.flink.iteration: The sub-graph inside the iteration body that should be executed as per-round.
IterationBodyResult - Class in org.apache.flink.iteration: The result of an iteration, specifying the feedbacks and the outputs.
IterationBodyResult(DataStreamList, DataStreamList) - Constructor for class org.apache.flink.iteration.IterationBodyResult
IterationBodyResult(DataStreamList, DataStreamList, DataStream<?>) - Constructor for class org.apache.flink.iteration.IterationBodyResult
IterationConfig - Class in org.apache.flink.iteration: The config for an iteration.
IterationConfig(IterationConfig.OperatorLifeCycle) - Constructor for class org.apache.flink.iteration.IterationConfig
IterationConfig.IterationConfigBuilder - Class in org.apache.flink.iteration: The builder of the IterationConfig.
IterationConfig.OperatorLifeCycle - Enum in org.apache.flink.iteration: LifeCycles of the operator inside the iteration.
iterationContext - Variable in class org.apache.flink.iteration.operator.AbstractWrapperOperator
IterationID - Class in org.apache.flink.iteration: The id of a single iteration instance in the job graph.
IterationID(byte[]) - Constructor for class org.apache.flink.iteration.IterationID
IterationID() - Constructor for class org.apache.flink.iteration.IterationID
IterationListener<T> - Interface in org.apache.flink.iteration: The callbacks which will be invoked if the operator or UDF inside iteration implement this interface.
IterationListener.Context - Interface in org.apache.flink.iteration: Information available in an invocation of the callbacks defined in the IterationProgressListener.
IterationOptions - Class in org.apache.flink.iteration.config: The options for the iteration.
IterationOptions() - Constructor for class org.apache.flink.iteration.config.IterationOptions
IterationRecord<T> - Class in org.apache.flink.iteration: The wrapper for the records in iterative stream.
IterationRecord.Type - Enum in org.apache.flink.iteration: The type of iteration records.
IterationRecordSerializer<T> - Class in org.apache.flink.iteration.typeinfo: The type serializer for IterationRecord.
IterationRecordSerializer(TypeSerializer<T>) - Constructor for class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
IterationRecordTypeInfo<T> - Class in org.apache.flink.iteration.typeinfo: The type information for IterationRecord.
IterationRecordTypeInfo(TypeInformation<T>) - Constructor for class org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo
Iterations - Class in org.apache.flink.iteration: A helper class to create iterations.
Iterations() - Constructor for class org.apache.flink.iteration.Iterations

J

jsonDecode(Object) - Method in class org.apache.flink.ml.param.ArrayArrayParam
jsonDecode(Object) - Method in class org.apache.flink.ml.param.ArrayParam
jsonDecode(Object) - Method in class org.apache.flink.ml.param.DoubleParam
jsonDecode(Object) - Method in class org.apache.flink.ml.param.FloatParam
jsonDecode(Object) - Method in class org.apache.flink.ml.param.LongParam
jsonDecode(Object) - Method in class org.apache.flink.ml.param.Param: Decodes the given json-supported object into an object of class type T.
jsonDecode(Object) - Method in class org.apache.flink.ml.param.VectorParam
jsonDecode(Object) - Method in class org.apache.flink.ml.param.WindowsParam
jsonEncode(T) - Method in class org.apache.flink.ml.param.Param: Encodes the given java object into a json-supported object.
jsonEncode(Windows) - Method in class org.apache.flink.ml.param.WindowsParam
JsonUtils - Class in org.apache.flink.ml.util: Utility methods for reading and writing stages.
JsonUtils() - Constructor for class org.apache.flink.ml.util.JsonUtils

K

K - Static variable in interface org.apache.flink.ml.classification.knn.KnnModelParams
K - Static variable in interface org.apache.flink.ml.clustering.kmeans.KMeansModelParams
K - Static variable in interface org.apache.flink.ml.recommendation.swing.SwingParams
KBinsDiscretizer - Class in org.apache.flink.ml.feature.kbinsdiscretizer: An Estimator which implements discretization (also known as quantization or binning) to transform continuous features into discrete ones.
KBinsDiscretizer() - Constructor for class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizer
KBinsDiscretizerExample - Class in org.apache.flink.ml.examples.feature: Simple program that trains a KBinsDiscretizer model and uses it for feature engineering.
KBinsDiscretizerExample() - Constructor for class org.apache.flink.ml.examples.feature.KBinsDiscretizerExample
KBinsDiscretizerModel - Class in org.apache.flink.ml.feature.kbinsdiscretizer: A Model which transforms continuous features into discrete features using the model data computed by KBinsDiscretizer.
KBinsDiscretizerModel() - Constructor for class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModel
KBinsDiscretizerModelData - Class in org.apache.flink.ml.feature.kbinsdiscretizer: Model data of KBinsDiscretizerModel.
KBinsDiscretizerModelData() - Constructor for class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModelData
KBinsDiscretizerModelData(double[][]) - Constructor for class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModelData
KBinsDiscretizerModelData.ModelDataDecoder - Class in org.apache.flink.ml.feature.kbinsdiscretizer: Decoder for KBinsDiscretizerModelData.
KBinsDiscretizerModelData.ModelDataEncoder - Class in org.apache.flink.ml.feature.kbinsdiscretizer: Encoder for KBinsDiscretizerModelData.
KBinsDiscretizerModelParams<T> - Interface in org.apache.flink.ml.feature.kbinsdiscretizer: Params for KBinsDiscretizerModel.
KBinsDiscretizerParams<T> - Interface in org.apache.flink.ml.feature.kbinsdiscretizer: Params for KBinsDiscretizer.
KEEP_INVALID - Static variable in interface org.apache.flink.ml.common.param.HasHandleInvalid
KeyAndValueSerializer<IN> - Class in org.apache.flink.ml.common.datastream.sort: A serializer used in SortingDataInput for serializing elements alongside their key and timestamp.
KeyAndValueSerializer(TypeSerializer<IN>, int) - Constructor for class org.apache.flink.ml.common.datastream.sort.KeyAndValueSerializer
keyDistance(Vector, Vector) - Method in class org.apache.flink.ml.feature.lsh.MinHashLSHModelData
KeyedBroadcastStateTransformationTranslator - Class in org.apache.flink.iteration.compile.translator: Draft translator for the KeyedBroadcastStateTransformation.
KeyedBroadcastStateTransformationTranslator() - Constructor for class org.apache.flink.iteration.compile.translator.KeyedBroadcastStateTransformationTranslator
KeyedMultipleInputTransformationTranslator - Class in org.apache.flink.iteration.compile.translator: Draft translator for the KeyedMultipleInputTransformation.
KeyedMultipleInputTransformationTranslator() - Constructor for class org.apache.flink.iteration.compile.translator.KeyedMultipleInputTransformationTranslator
keyedStateBackend() - Method in class org.apache.flink.iteration.proxy.state.ProxyStreamOperatorStateContext
KMeans - Class in org.apache.flink.ml.clustering.kmeans: An Estimator which implements the k-means clustering algorithm.
KMeans() - Constructor for class org.apache.flink.ml.clustering.kmeans.KMeans
KMEANS - Static variable in interface org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerParams
KMeansExample - Class in org.apache.flink.ml.examples.clustering: Simple program that trains a KMeans model and uses it for clustering.
KMeansExample() - Constructor for class org.apache.flink.ml.examples.clustering.KMeansExample
KMeansModel - Class in org.apache.flink.ml.clustering.kmeans: A Model which clusters data into k clusters using the model data computed by KMeans.
KMeansModel() - Constructor for class org.apache.flink.ml.clustering.kmeans.KMeansModel
KMeansModelData - Class in org.apache.flink.ml.clustering.kmeans: Model data of KMeansModel and OnlineKMeansModel.
KMeansModelData(DenseVector[], DenseVector) - Constructor for class org.apache.flink.ml.clustering.kmeans.KMeansModelData
KMeansModelData() - Constructor for class org.apache.flink.ml.clustering.kmeans.KMeansModelData
KMeansModelData.ModelDataDecoder - Class in org.apache.flink.ml.clustering.kmeans: Data decoder for KMeansModelData.
KMeansModelData.ModelDataEncoder - Class in org.apache.flink.ml.clustering.kmeans: Data encoder for KMeansModelData.
KMeansModelDataGenerator - Class in org.apache.flink.ml.benchmark.datagenerator.clustering: A DataGenerator which creates a table containing one KMeansModel instance.
KMeansModelDataGenerator() - Constructor for class org.apache.flink.ml.benchmark.datagenerator.clustering.KMeansModelDataGenerator
KMeansModelDataGenerator.GenerateWeightsFunction - Class in org.apache.flink.ml.benchmark.datagenerator.clustering: A scalar function that generates the weights vector for KMeansModelData from the centroids information.
KMeansModelParams<T> - Interface in org.apache.flink.ml.clustering.kmeans: Params of KMeansModel and OnlineKMeansModel.
KMeansParams<T> - Interface in org.apache.flink.ml.clustering.kmeans: Params of KMeans.
Knn - Class in org.apache.flink.ml.classification.knn: An Estimator which implements the KNN algorithm.
Knn() - Constructor for class org.apache.flink.ml.classification.knn.Knn
KnnExample - Class in org.apache.flink.ml.examples.classification: Simple program that trains a Knn model and uses it for classification.
KnnExample() - Constructor for class org.apache.flink.ml.examples.classification.KnnExample
KnnModel - Class in org.apache.flink.ml.classification.knn: A Model which classifies data using the model data computed by Knn.
KnnModel() - Constructor for class org.apache.flink.ml.classification.knn.KnnModel
KnnModelData - Class in org.apache.flink.ml.classification.knn: Model data of KnnModel.
KnnModelData() - Constructor for class org.apache.flink.ml.classification.knn.KnnModelData
KnnModelData(DenseMatrix, DenseVector, DenseVector) - Constructor for class org.apache.flink.ml.classification.knn.KnnModelData
KnnModelData.ModelDataDecoder - Class in org.apache.flink.ml.classification.knn: Decoder for KnnModelData.
KnnModelData.ModelDataEncoder - Class in org.apache.flink.ml.classification.knn: Encoder for KnnModelData.
KnnModelParams<T> - Interface in org.apache.flink.ml.classification.knn: Params for KnnModel.
KnnParams<T> - Interface in org.apache.flink.ml.classification.knn: Params for Knn.
ks - Variable in class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator.BinaryMetrics
KS - Static variable in interface org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluatorParams

L

l2Norm - Variable in class org.apache.flink.ml.linalg.VectorWithNorm
LABEL_ARITY - Static variable in class org.apache.flink.ml.benchmark.datagenerator.common.LabeledPointWithWeightGenerator
LABEL_COL - Static variable in interface org.apache.flink.ml.common.param.HasLabelCol
LABEL_TYPE - Static variable in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams: Supported options of the label type.
LabeledPointWithWeight - Class in org.apache.flink.ml.common.feature: Utility class to represent a data point that contains features, label and weight.
LabeledPointWithWeight(DenseVector, double, double) - Constructor for class org.apache.flink.ml.common.feature.LabeledPointWithWeight
LabeledPointWithWeight() - Constructor for class org.apache.flink.ml.common.feature.LabeledPointWithWeight
LabeledPointWithWeightGenerator - Class in org.apache.flink.ml.benchmark.datagenerator.common: A DataGenerator which creates a table of features, label and weight.
LabeledPointWithWeightGenerator() - Constructor for class org.apache.flink.ml.benchmark.datagenerator.common.LabeledPointWithWeightGenerator
labels - Variable in class org.apache.flink.ml.classification.knn.KnnModelData
labels - Variable in class org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData: Value of labels.
latencyStats - Variable in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
LEARNING_RATE - Static variable in interface org.apache.flink.ml.common.param.HasLearningRate
LeastSquareLoss - Class in org.apache.flink.ml.common.lossfunc: The loss function for least square loss.
LinearRegression - Class in org.apache.flink.ml.regression.linearregression: An Estimator which implements the linear regression algorithm.
LinearRegression() - Constructor for class org.apache.flink.ml.regression.linearregression.LinearRegression
LinearRegressionExample - Class in org.apache.flink.ml.examples.regression: Simple program that trains a LinearRegression model and uses it for regression.
LinearRegressionExample() - Constructor for class org.apache.flink.ml.examples.regression.LinearRegressionExample
LinearRegressionModel - Class in org.apache.flink.ml.regression.linearregression: A Model which predicts data using the model data computed by LinearRegression.
LinearRegressionModel() - Constructor for class org.apache.flink.ml.regression.linearregression.LinearRegressionModel
LinearRegressionModelData - Class in org.apache.flink.ml.regression.linearregression: Model data of LinearRegressionModel.
LinearRegressionModelData(DenseVector) - Constructor for class org.apache.flink.ml.regression.linearregression.LinearRegressionModelData
LinearRegressionModelData() - Constructor for class org.apache.flink.ml.regression.linearregression.LinearRegressionModelData
LinearRegressionModelData.ModelDataDecoder - Class in org.apache.flink.ml.regression.linearregression: Data decoder for LinearRegressionModel.
LinearRegressionModelData.ModelDataEncoder - Class in org.apache.flink.ml.regression.linearregression: Data encoder for LinearRegressionModel.
LinearRegressionModelParams<T> - Interface in org.apache.flink.ml.regression.linearregression: Params for LinearRegressionModel.
LinearRegressionParams<T> - Interface in org.apache.flink.ml.regression.linearregression: Params for LinearRegression.
LinearSVC - Class in org.apache.flink.ml.classification.linearsvc: An Estimator which implements the linear support vector classification.
LinearSVC() - Constructor for class org.apache.flink.ml.classification.linearsvc.LinearSVC
LinearSVCExample - Class in org.apache.flink.ml.examples.classification: Simple program that trains a LinearSVC model and uses it for classification.
LinearSVCExample() - Constructor for class org.apache.flink.ml.examples.classification.LinearSVCExample
LinearSVCModel - Class in org.apache.flink.ml.classification.linearsvc: A Model which classifies data using the model data computed by LinearSVC.
LinearSVCModel() - Constructor for class org.apache.flink.ml.classification.linearsvc.LinearSVCModel
LinearSVCModelData - Class in org.apache.flink.ml.classification.linearsvc: Model data of LinearSVCModel.
LinearSVCModelData(DenseVector) - Constructor for class org.apache.flink.ml.classification.linearsvc.LinearSVCModelData
LinearSVCModelData() - Constructor for class org.apache.flink.ml.classification.linearsvc.LinearSVCModelData
LinearSVCModelData.ModelDataDecoder - Class in org.apache.flink.ml.classification.linearsvc: Data decoder for LinearSVCModel.
LinearSVCModelData.ModelDataEncoder - Class in org.apache.flink.ml.classification.linearsvc: Data encoder for LinearSVCModel.
LinearSVCModelParams<T> - Interface in org.apache.flink.ml.classification.linearsvc: Params for LinearSVCModel.
LinearSVCParams<T> - Interface in org.apache.flink.ml.classification.linearsvc: Params for LinearSVC.
LINKAGE - Static variable in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams: Supported options to compute the distance between two clusters.
LINKAGE_AVERAGE - Static variable in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
LINKAGE_COMPLETE - Static variable in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
LINKAGE_SINGLE - Static variable in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
LINKAGE_WARD - Static variable in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
ListStateWithCache<T> - Class in org.apache.flink.iteration.datacache.nonkeyed: A ListState child class that records data and replays them when required.
ListStateWithCache(TypeSerializer<T>, StreamTask<?, ?>, StreamingRuntimeContext, StateInitializationContext, OperatorID) - Constructor for class org.apache.flink.iteration.datacache.nonkeyed.ListStateWithCache
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.builder.Graph
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.builder.GraphModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.builder.Pipeline
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.builder.PipelineModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.classification.knn.Knn
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.classification.knn.KnnModel: Loads model data from path.
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.classification.linearsvc.LinearSVC
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.classification.linearsvc.LinearSVCModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.classification.logisticregression.LogisticRegression
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel
load(String) - Static method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelServable
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegression
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.classification.naivebayes.NaiveBayes
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.classification.naivebayes.NaiveBayesModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClustering
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.clustering.kmeans.KMeans
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.clustering.kmeans.KMeansModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.clustering.kmeans.OnlineKMeans
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.clustering.kmeans.OnlineKMeansModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.binarizer.Binarizer
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.bucketizer.Bucketizer
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.countvectorizer.CountVectorizer
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.dct.DCT
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.elementwiseproduct.ElementwiseProduct
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.featurehasher.FeatureHasher
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.hashingtf.HashingTF
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.idf.IDF
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.idf.IDFModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.imputer.Imputer
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.imputer.ImputerModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.interaction.Interaction
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizer
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.lsh.MinHashLSH
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.lsh.MinHashLSHModel: Loads model data from path.
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScaler
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModel: Loads model data from path.
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScaler
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModel: Loads model data from path.
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.ngram.NGram
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.normalizer.Normalizer
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.onehotencoder.OneHotEncoder
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.polynomialexpansion.PolynomialExpansion
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.randomsplitter.RandomSplitter
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.regextokenizer.RegexTokenizer
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.robustscaler.RobustScaler
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.robustscaler.RobustScalerModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.sqltransformer.SQLTransformer
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.standardscaler.OnlineStandardScaler
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.standardscaler.OnlineStandardScalerModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.standardscaler.StandardScaler
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.standardscaler.StandardScalerModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.stopwordsremover.StopWordsRemover
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.stringindexer.IndexToStringModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.stringindexer.StringIndexer
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.stringindexer.StringIndexerModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.tokenizer.Tokenizer
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelector
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelector
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.vectorassembler.VectorAssembler
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.vectorindexer.VectorIndexer
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModel
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.feature.vectorslicer.VectorSlicer
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.recommendation.swing.Swing
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.regression.linearregression.LinearRegression
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.regression.linearregression.LinearRegressionModel
load(String) - Static method in class org.apache.flink.ml.servable.builder.PipelineModelServable
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.stats.anovatest.ANOVATest
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.stats.chisqtest.ChiSqTest
load(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.stats.fvaluetest.FValueTest
loadDefaultStopWords(String) - Static method in class org.apache.flink.ml.feature.stopwordsremover.StopWordsRemover: Loads the default stop words for the given language.
loadGraph(StreamTableEnvironment, String, String) - Static method in class org.apache.flink.ml.util.ReadWriteUtils: Loads a Graph or GraphModel from the given path.
loadMetadata(String, String) - Static method in class org.apache.flink.ml.util.FileUtils: Loads the metadata from the metadata file under the given path.
loadModelData(StreamTableEnvironment, String, SimpleStreamFormat<T>) - Static method in class org.apache.flink.ml.util.ReadWriteUtils: Loads the model data from the given path using the model decoder.
loadModelData(String) - Static method in class org.apache.flink.ml.util.ServableReadWriteUtils: Opens an FSDataInputStream to read the model data file in the directory.
loadPipeline(StreamTableEnvironment, String, String) - Static method in class org.apache.flink.ml.util.ReadWriteUtils: Loads the stages of a Pipeline or PipelineModel from the given path.
loadPipeline(String) - Static method in class org.apache.flink.ml.util.ServableReadWriteUtils: Loads the servables of a PipelineModelServable from the given path.
loadServable(String) - Static method in class org.apache.flink.ml.builder.PipelineModel
loadServable(String) - Static method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel
loadServableParam(String, Class<T>) - Static method in class org.apache.flink.ml.util.ServableReadWriteUtils: Loads the TransformerServable with the saved parameters from the given path.
loadStage(StreamTableEnvironment, String) - Static method in class org.apache.flink.ml.util.ReadWriteUtils: Loads the stage from the given path by invoking the static load() method of the stage.
loadStageParam(String) - Static method in class org.apache.flink.ml.util.ReadWriteUtils: Loads the stage with the saved parameters from the given path.
LOCALE - Static variable in interface org.apache.flink.ml.feature.stopwordsremover.StopWordsRemoverParams
LOG - Static variable in class org.apache.flink.iteration.operator.headprocessor.RegularHeadOperatorRecordProcessor
LogisticRegression - Class in org.apache.flink.ml.classification.logisticregression: An Estimator which implements the logistic regression algorithm.
LogisticRegression() - Constructor for class org.apache.flink.ml.classification.logisticregression.LogisticRegression
LogisticRegressionExample - Class in org.apache.flink.ml.examples.classification: Simple program that trains a LogisticRegression model and uses it for classification.
LogisticRegressionExample() - Constructor for class org.apache.flink.ml.examples.classification.LogisticRegressionExample
LogisticRegressionModel - Class in org.apache.flink.ml.classification.logisticregression: A Model which classifies data using the model data computed by LogisticRegression.
LogisticRegressionModel() - Constructor for class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel
LogisticRegressionModelData - Class in org.apache.flink.ml.classification.logisticregression: Model data of LogisticRegressionModelServable.
LogisticRegressionModelData() - Constructor for class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData
LogisticRegressionModelData(DenseVector, long) - Constructor for class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData
LogisticRegressionModelDataUtil - Class in org.apache.flink.ml.classification.logisticregression: The utility class which provides methods to convert model data from Table to Datastream, and classes to save/load model data.
LogisticRegressionModelDataUtil() - Constructor for class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelDataUtil
LogisticRegressionModelDataUtil.ModelDataDecoder - Class in org.apache.flink.ml.classification.logisticregression: Data decoder for LogisticRegression and OnlineLogisticRegression.
LogisticRegressionModelDataUtil.ModelDataEncoder - Class in org.apache.flink.ml.classification.logisticregression: Data encoder for LogisticRegression and OnlineLogisticRegression.
LogisticRegressionModelParams<T> - Interface in org.apache.flink.ml.classification.logisticregression: Params for LogisticRegressionModel and LogisticRegressionModelServable.
LogisticRegressionModelServable - Class in org.apache.flink.ml.classification.logisticregression: A Servable which can be used to classifies data in online inference.
LogisticRegressionModelServable() - Constructor for class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelServable
LogisticRegressionParams<T> - Interface in org.apache.flink.ml.classification.logisticregression: Params for LogisticRegression.
LONG - Static variable in class org.apache.flink.ml.servable.types.DataTypes
LongArrayParam - Class in org.apache.flink.ml.param: Class for the long array parameter.
LongArrayParam(String, String, Long[], ParamValidator<Long[]>) - Constructor for class org.apache.flink.ml.param.LongArrayParam
LongArrayParam(String, String, Long[]) - Constructor for class org.apache.flink.ml.param.LongArrayParam
LongParam - Class in org.apache.flink.ml.param: Class for the long parameter.
LongParam(String, String, Long, ParamValidator<Long>) - Constructor for class org.apache.flink.ml.param.LongParam
LongParam(String, String, Long) - Constructor for class org.apache.flink.ml.param.LongParam
LossFunc - Interface in org.apache.flink.ml.common.lossfunc: A loss function is to compute the loss and gradient with the given coefficient and training data.
LOWER - Static variable in interface org.apache.flink.ml.feature.robustscaler.RobustScalerParams
LSHModelParams<T> - Interface in org.apache.flink.ml.feature.lsh: Params for LSHModel.
LSHParams<T> - Interface in org.apache.flink.ml.feature.lsh: Params for LSH.
lt(double) - Static method in class org.apache.flink.ml.param.ParamValidators
ltEq(double) - Static method in class org.apache.flink.ml.param.ParamValidators

M

main(String[]) - Static method in class org.apache.flink.ml.benchmark.Benchmark
main(String[]) - Static method in class org.apache.flink.ml.examples.ArrayToVectorExample
main(String[]) - Static method in class org.apache.flink.ml.examples.classification.KnnExample
main(String[]) - Static method in class org.apache.flink.ml.examples.classification.LinearSVCExample
main(String[]) - Static method in class org.apache.flink.ml.examples.classification.LogisticRegressionExample
main(String[]) - Static method in class org.apache.flink.ml.examples.classification.NaiveBayesExample
main(String[]) - Static method in class org.apache.flink.ml.examples.classification.OnlineLogisticRegressionExample
main(String[]) - Static method in class org.apache.flink.ml.examples.clustering.AgglomerativeClusteringExample
main(String[]) - Static method in class org.apache.flink.ml.examples.clustering.KMeansExample
main(String[]) - Static method in class org.apache.flink.ml.examples.clustering.OnlineKMeansExample
main(String[]) - Static method in class org.apache.flink.ml.examples.evaluation.BinaryClassificationEvaluatorExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.BinarizerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.BucketizerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.CountVectorizerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.DCTExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.ElementwiseProductExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.FeatureHasherExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.HashingTFExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.IDFExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.ImputerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.IndexToStringModelExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.InteractionExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.KBinsDiscretizerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.MaxAbsScalerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.MinHashLSHExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.MinMaxScalerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.NGramExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.NormalizerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.OneHotEncoderExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.OnlineStandardScalerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.PolynomialExpansionExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.RandomSplitterExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.RegexTokenizerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.RobustScalerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.SQLTransformerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.StandardScalerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.StopWordsRemoverExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.StringIndexerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.TokenizerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.UnivariateFeatureSelectorExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.VarianceThresholdSelectorExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.VectorAssemblerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.VectorIndexerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.feature.VectorSlicerExample
main(String[]) - Static method in class org.apache.flink.ml.examples.recommendation.SwingExample
main(String[]) - Static method in class org.apache.flink.ml.examples.regression.LinearRegressionExample
main(String[]) - Static method in class org.apache.flink.ml.examples.stats.ChiSqTestExample
main(String[]) - Static method in class org.apache.flink.ml.examples.VectorToArrayExample
ManhattanDistanceMeasure - Class in org.apache.flink.ml.common.distance: Manhattan distance (also known as L1 distance) between two vectors.
map(Row) - Method in class org.apache.flink.ml.feature.hashingtf.HashingTF.HashTFFunction
mapPartition(DataStream<IN>, MapPartitionFunction<IN, OUT>) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: Applies a MapPartitionFunction on a bounded data stream.
mapPartition(DataStream<IN>, MapPartitionFunction<IN, OUT>, TypeInformation<OUT>) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: Applies a MapPartitionFunction on a bounded data stream.
Matrix - Interface in org.apache.flink.ml.linalg: A matrix of double values.
MATRIX(BasicType) - Static method in class org.apache.flink.ml.servable.types.DataTypes
MatrixType - Class in org.apache.flink.ml.servable.types: A DataType representing a Matrix.
MatrixType(BasicType) - Constructor for class org.apache.flink.ml.servable.types.MatrixType
MAX - Static variable in interface org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerParams
MAX_ALLOWED_MODEL_DELAY_MS - Static variable in interface org.apache.flink.ml.common.param.HasMaxAllowedModelDelayMs
MAX_CATEGORIES - Static variable in interface org.apache.flink.ml.feature.vectorindexer.VectorIndexerParams
MAX_DF - Static variable in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerParams
MAX_INDEX_NUM - Static variable in interface org.apache.flink.ml.feature.stringindexer.StringIndexerParams
MAX_ITER - Static variable in interface org.apache.flink.ml.common.param.HasMaxIter
MAX_USER_BEHAVIOR - Static variable in interface org.apache.flink.ml.recommendation.swing.SwingParams
MAX_USER_NUM_PER_ITEM - Static variable in interface org.apache.flink.ml.recommendation.swing.SwingParams
MaxAbsScaler - Class in org.apache.flink.ml.feature.maxabsscaler: An Estimator which implements the MaxAbsScaler algorithm.
MaxAbsScaler() - Constructor for class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScaler
MaxAbsScalerExample - Class in org.apache.flink.ml.examples.feature: Simple program that trains a MaxAbsScaler model and uses it for feature engineering.
MaxAbsScalerExample() - Constructor for class org.apache.flink.ml.examples.feature.MaxAbsScalerExample
MaxAbsScalerModel - Class in org.apache.flink.ml.feature.maxabsscaler: A Model which transforms data using the model data computed by MaxAbsScaler.
MaxAbsScalerModel() - Constructor for class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModel
MaxAbsScalerModelData - Class in org.apache.flink.ml.feature.maxabsscaler: Model data of MaxAbsScalerModel.
MaxAbsScalerModelData() - Constructor for class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModelData
MaxAbsScalerModelData(DenseVector) - Constructor for class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModelData
MaxAbsScalerModelData.ModelDataDecoder - Class in org.apache.flink.ml.feature.maxabsscaler: Decoder for MaxAbsScalerModelData.
MaxAbsScalerModelData.ModelDataEncoder - Class in org.apache.flink.ml.feature.maxabsscaler: Encoder for MaxAbsScalerModelData.
MaxAbsScalerParams<T> - Interface in org.apache.flink.ml.feature.maxabsscaler: Params for MaxAbsScaler.
maxScore - Variable in class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator.BinarySummary
maxVector - Variable in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModelData
maxVector - Variable in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModelData
MEAN - Static variable in interface org.apache.flink.ml.feature.imputer.ImputerParams
mean - Variable in class org.apache.flink.ml.feature.standardscaler.StandardScalerModelData: Mean of each dimension.
MEDIAN - Static variable in interface org.apache.flink.ml.feature.imputer.ImputerParams
medians - Variable in class org.apache.flink.ml.feature.robustscaler.RobustScalerModelData
merge(QuantileSummary) - Method in class org.apache.flink.ml.common.util.QuantileSummary: Merges two summaries together.
merge(BinaryClassificationEvaluator.BinaryMetrics) - Method in class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator.BinaryMetrics
metrics - Variable in class org.apache.flink.iteration.operator.AbstractWrapperOperator: Metric group for the operator.
metrics - Variable in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
METRICS_NAMES - Static variable in interface org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluatorParams: Param for supported metric names in binary classification evaluation (supports 'areaUnderROC', 'areaUnderPR', 'ks' and 'areaUnderLorenz').
MIN - Static variable in interface org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerParams
MIN_DF - Static variable in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerParams
MIN_DOC_FREQ - Static variable in interface org.apache.flink.ml.feature.idf.IDFParams
MIN_TF - Static variable in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelParams
MIN_TOKEN_LENGTH - Static variable in interface org.apache.flink.ml.feature.regextokenizer.RegexTokenizerParams
MIN_USER_BEHAVIOR - Static variable in interface org.apache.flink.ml.recommendation.swing.SwingParams
MinHashLSH - Class in org.apache.flink.ml.feature.lsh: An Estimator that implements the MinHash LSH algorithm, which supports LSH for Jaccard distance.
MinHashLSH() - Constructor for class org.apache.flink.ml.feature.lsh.MinHashLSH
MinHashLSHExample - Class in org.apache.flink.ml.examples.feature: Simple program that trains a MinHashLSH model and uses it for approximate nearest neighbors and similarity join.
MinHashLSHExample() - Constructor for class org.apache.flink.ml.examples.feature.MinHashLSHExample
MinHashLSHModel - Class in org.apache.flink.ml.feature.lsh: A Model which generates hash values using the model data computed by MinHashLSH.
MinHashLSHModel() - Constructor for class org.apache.flink.ml.feature.lsh.MinHashLSHModel
MinHashLSHModelData - Class in org.apache.flink.ml.feature.lsh: Model data of MinHashLSHModel.
MinHashLSHModelData() - Constructor for class org.apache.flink.ml.feature.lsh.MinHashLSHModelData
MinHashLSHModelData(int, int, int[], int[]) - Constructor for class org.apache.flink.ml.feature.lsh.MinHashLSHModelData
MinHashLSHModelData.ModelDataEncoder - Class in org.apache.flink.ml.feature.lsh: Encoder for MinHashLSHModelData.
MinHashLSHParams<T> - Interface in org.apache.flink.ml.feature.lsh: Params for MinHashLSH.
MinMaxReduceFunctionOperator() - Constructor for class org.apache.flink.ml.feature.minmaxscaler.MinMaxScaler.MinMaxReduceFunctionOperator
MinMaxScaler - Class in org.apache.flink.ml.feature.minmaxscaler: An Estimator which implements the MinMaxScaler algorithm.
MinMaxScaler() - Constructor for class org.apache.flink.ml.feature.minmaxscaler.MinMaxScaler
MinMaxScaler.MinMaxReduceFunctionOperator - Class in org.apache.flink.ml.feature.minmaxscaler: A stream operator to compute the min and max values in each partition of the input bounded data stream.
MinMaxScalerExample - Class in org.apache.flink.ml.examples.feature: Simple program that trains a MinMaxScaler model and uses it for feature engineering.
MinMaxScalerExample() - Constructor for class org.apache.flink.ml.examples.feature.MinMaxScalerExample
MinMaxScalerModel - Class in org.apache.flink.ml.feature.minmaxscaler: A Model which transforms data using the model data computed by MinMaxScaler.
MinMaxScalerModel() - Constructor for class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModel
MinMaxScalerModelData - Class in org.apache.flink.ml.feature.minmaxscaler: Model data of MinMaxScalerModel.
MinMaxScalerModelData() - Constructor for class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModelData
MinMaxScalerModelData(DenseVector, DenseVector) - Constructor for class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModelData
MinMaxScalerModelData.ModelDataDecoder - Class in org.apache.flink.ml.feature.minmaxscaler: Decoder for MinMaxScalerModelData.
MinMaxScalerModelData.ModelDataEncoder - Class in org.apache.flink.ml.feature.minmaxscaler: Encoder for MinMaxScalerModelData.
MinMaxScalerParams<T> - Interface in org.apache.flink.ml.feature.minmaxscaler: Params for MinMaxScaler.
minVector - Variable in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModelData
MISSING_VALUE - Static variable in interface org.apache.flink.ml.feature.imputer.ImputerModelParams
mkdirs(Path) - Static method in class org.apache.flink.ml.util.FileUtils
ML_GROUP - Static variable in class org.apache.flink.ml.common.metrics.MLMetrics
ML_MODEL_GROUP - Static variable in class org.apache.flink.ml.common.metrics.MLMetrics
MLMetrics - Class in org.apache.flink.ml.common.metrics: A collection class for handling metrics in Flink ML.
MLMetrics() - Constructor for class org.apache.flink.ml.common.metrics.MLMetrics
Model<T extends Model<T>> - Interface in org.apache.flink.ml.api: A Model is typically generated by invoking Estimator.fit(Table...).
MODEL_DATA_VERSION_GAUGE_KEY - Static variable in class org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionModel
MODEL_DATA_VERSION_GAUGE_KEY - Static variable in class org.apache.flink.ml.clustering.kmeans.OnlineKMeansModel
MODEL_TYPE - Static variable in interface org.apache.flink.ml.classification.naivebayes.NaiveBayesModelParams
MODEL_VERSION_COL - Static variable in interface org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionModelParams
MODEL_VERSION_COL - Static variable in interface org.apache.flink.ml.common.param.HasModelVersionCol
ModelDataDecoder() - Constructor for class org.apache.flink.ml.classification.knn.KnnModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.classification.linearsvc.LinearSVCModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelDataUtil.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.clustering.kmeans.KMeansModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.feature.idf.IDFModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.feature.imputer.ImputerModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.feature.robustscaler.RobustScalerModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.feature.standardscaler.StandardScalerModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.feature.stringindexer.StringIndexerModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModelData.ModelDataDecoder
ModelDataDecoder() - Constructor for class org.apache.flink.ml.regression.linearregression.LinearRegressionModelData.ModelDataDecoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.classification.knn.KnnModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.classification.linearsvc.LinearSVCModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelDataUtil.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.clustering.kmeans.KMeansModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.feature.idf.IDFModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.feature.imputer.ImputerModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.feature.lsh.MinHashLSHModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.feature.robustscaler.RobustScalerModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.feature.standardscaler.StandardScalerModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.feature.stringindexer.StringIndexerModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModelData.ModelDataEncoder
ModelDataEncoder() - Constructor for class org.apache.flink.ml.regression.linearregression.LinearRegressionModelData.ModelDataEncoder
ModelDataStreamFormat() - Constructor for class org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModelData.ModelDataStreamFormat
modelInputIds - Variable in class org.apache.flink.ml.builder.GraphData
ModelServable<T extends ModelServable<T>> - Interface in org.apache.flink.ml.servable.api: A ModelServable is a TransformerServable with the extra API to set model data.
modelVersion - Variable in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData
MOST_FREQUENT - Static variable in interface org.apache.flink.ml.feature.imputer.ImputerParams
MULTI_CLASS - Static variable in interface org.apache.flink.ml.common.param.HasMultiClass
MultipleInputAllRoundWrapperOperator<OUT> - Class in org.apache.flink.iteration.operator.allround: All-round wrapper for the multiple-inputs operator.
MultipleInputAllRoundWrapperOperator(StreamOperatorParameters<IterationRecord<OUT>>, StreamOperatorFactory<OUT>) - Constructor for class org.apache.flink.iteration.operator.allround.MultipleInputAllRoundWrapperOperator
MultipleInputPerRoundWrapperOperator<OUT> - Class in org.apache.flink.iteration.operator.perround: Per-round wrapper for the multiple-inputs operator.
MultipleInputPerRoundWrapperOperator(StreamOperatorParameters<IterationRecord<OUT>>, StreamOperatorFactory<OUT>) - Constructor for class org.apache.flink.iteration.operator.perround.MultipleInputPerRoundWrapperOperator
MultipleInputTransformationTranslator - Class in org.apache.flink.iteration.compile.translator: Draft translator for the MultipleInputTransformation.
MultipleInputTransformationTranslator() - Constructor for class org.apache.flink.iteration.compile.translator.MultipleInputTransformationTranslator

N

N - Static variable in interface org.apache.flink.ml.feature.ngram.NGramParams
n - Variable in class org.apache.flink.ml.linalg.SparseVector
NaiveBayes - Class in org.apache.flink.ml.classification.naivebayes: An Estimator which implements the naive bayes classification algorithm.
NaiveBayes() - Constructor for class org.apache.flink.ml.classification.naivebayes.NaiveBayes
NaiveBayesExample - Class in org.apache.flink.ml.examples.classification: Simple program that trains a NaiveBayes model and uses it for classification.
NaiveBayesExample() - Constructor for class org.apache.flink.ml.examples.classification.NaiveBayesExample
NaiveBayesModel - Class in org.apache.flink.ml.classification.naivebayes: A Model which classifies data using the model data computed by NaiveBayes.
NaiveBayesModel() - Constructor for class org.apache.flink.ml.classification.naivebayes.NaiveBayesModel
NaiveBayesModelData - Class in org.apache.flink.ml.classification.naivebayes: Model data of NaiveBayesModel.
NaiveBayesModelData(Map<Double, Double>[][], DenseVector, DenseVector) - Constructor for class org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData
NaiveBayesModelData() - Constructor for class org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData
NaiveBayesModelData.ModelDataDecoder - Class in org.apache.flink.ml.classification.naivebayes: Data decoder for the NaiveBayesModelData.
NaiveBayesModelData.ModelDataEncoder - Class in org.apache.flink.ml.classification.naivebayes: Data encoder for the NaiveBayesModelData.
NaiveBayesModelParams<T> - Interface in org.apache.flink.ml.classification.naivebayes: Params of NaiveBayesModel.
NaiveBayesParams<T> - Interface in org.apache.flink.ml.classification.naivebayes: Params of NaiveBayes.
name - Variable in class org.apache.flink.ml.benchmark.BenchmarkResult: The benchmark name.
NAME - Static variable in class org.apache.flink.ml.common.distance.CosineDistanceMeasure
NAME - Static variable in class org.apache.flink.ml.common.distance.EuclideanDistanceMeasure
NAME - Static variable in class org.apache.flink.ml.common.distance.ManhattanDistanceMeasure
name - Variable in class org.apache.flink.ml.param.Param
newBarrier(long) - Static method in class org.apache.flink.iteration.IterationRecord
newBuilder() - Static method in class org.apache.flink.iteration.IterationConfig
newEpochWatermark(int, String) - Static method in class org.apache.flink.iteration.IterationRecord
newRecord(T, int) - Static method in class org.apache.flink.iteration.IterationRecord
newRecord(T) - Static method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
newWatermark(long) - Static method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
next() - Method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheReader
NGram - Class in org.apache.flink.ml.feature.ngram: A Transformer that converts the input string array into an array of n-grams, where each n-gram is represented by a space-separated string of words.
NGram() - Constructor for class org.apache.flink.ml.feature.ngram.NGram
NGram.NGramUdf - Class in org.apache.flink.ml.feature.ngram: The main logic of NGram, which converts the input string array to an array of n-grams.
NGramExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates an NGram instance and uses it for feature engineering.
NGramExample() - Constructor for class org.apache.flink.ml.examples.feature.NGramExample
NGramParams<T> - Interface in org.apache.flink.ml.feature.ngram: Params of NGram.
NGramUdf() - Constructor for class org.apache.flink.ml.feature.ngram.NGram.NGramUdf
nodeId - Variable in class org.apache.flink.ml.builder.GraphNode
nodes - Variable in class org.apache.flink.ml.builder.GraphData
nonEmptyArray() - Static method in class org.apache.flink.ml.param.ParamValidators
NonReplayedDataStreamList(List<DataStream<?>>) - Constructor for class org.apache.flink.iteration.ReplayableDataStreamList.NonReplayedDataStreamList
norm(Vector, double) - Static method in class org.apache.flink.ml.linalg.BLAS: Calculates the p-norm of the vector x.
norm2(Vector) - Static method in class org.apache.flink.ml.linalg.BLAS: \sqrt(\sum_i x_i * x_i) .
Normalizer - Class in org.apache.flink.ml.feature.normalizer: A Transformer that normalizes a vector to have unit norm using the given p-norm.
Normalizer() - Constructor for class org.apache.flink.ml.feature.normalizer.Normalizer
NormalizerExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a Normalizer instance and uses it for feature engineering.
NormalizerExample() - Constructor for class org.apache.flink.ml.examples.feature.NormalizerExample
NormalizerParams<T> - Interface in org.apache.flink.ml.feature.normalizer: Params of Normalizer.
notifyCacheFinished(String) - Static method in class org.apache.flink.ml.common.broadcast.BroadcastContext
notifyCheckpointAborted(long) - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
notifyCheckpointAborted(long) - Method in class org.apache.flink.iteration.operator.HeadOperator
notifyCheckpointAborted(long) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
notifyCheckpointAborted(long) - Method in class org.apache.flink.iteration.operator.TailOperator
notifyCheckpointAborted(long) - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
notifyCheckpointComplete(long) - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
notifyCheckpointComplete(long) - Method in class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator
notifyCheckpointComplete(long) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
notifyCheckpointComplete(long) - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
notifyEpochWatermarkIncrement(IterationListener<?>, int) - Method in class org.apache.flink.iteration.operator.AbstractWrapperOperator
notifyGloballyTerminating() - Method in class org.apache.flink.iteration.operator.coordinator.SharedProgressAligner
notifyTerminatingOnInitialize() - Method in interface org.apache.flink.iteration.operator.headprocessor.HeadOperatorRecordProcessor.Context
notNull() - Static method in class org.apache.flink.ml.param.ParamValidators
notReplay(DataStream<?>...) - Static method in class org.apache.flink.iteration.ReplayableDataStreamList
NUM_BINS - Static variable in interface org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerParams
NUM_CLUSTERS - Static variable in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
NUM_DISTINCT_VALUES - Static variable in interface org.apache.flink.ml.benchmark.datagenerator.param.HasNumDistinctValues
NUM_FEATURES - Static variable in interface org.apache.flink.ml.common.param.HasNumFeatures
NUM_HASH_FUNCTIONS_PER_TABLE - Static variable in interface org.apache.flink.ml.feature.lsh.LSHParams: Param for the number of hash functions per hash table used in LSH AND-amplification.
NUM_HASH_TABLES - Static variable in interface org.apache.flink.ml.feature.lsh.LSHParams: Param for the number of hash tables used in LSH OR-amplification.
NUM_TOP_FEATURES - Static variable in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
NUM_VALUES - Static variable in interface org.apache.flink.ml.benchmark.datagenerator.InputDataGenerator
numCols() - Method in class org.apache.flink.ml.linalg.DenseMatrix
numCols() - Method in interface org.apache.flink.ml.linalg.Matrix: Gets number of columns.
numDocs - Variable in class org.apache.flink.ml.feature.idf.IDFModelData: Number of docs in the training set.
numHashFunctionsPerTable - Variable in class org.apache.flink.ml.feature.lsh.MinHashLSHModelData
numHashTables - Variable in class org.apache.flink.ml.feature.lsh.MinHashLSHModelData
numInputs - Variable in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: Number of the inputs of this operator.
numOfFeatures - Variable in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModelData
numRows() - Method in class org.apache.flink.ml.linalg.DenseMatrix
numRows() - Method in interface org.apache.flink.ml.linalg.Matrix: Gets number of rows.

O

OBJECT_MAPPER - Static variable in class org.apache.flink.ml.util.JsonUtils
OBJECT_MAPPER - Static variable in class org.apache.flink.ml.util.ReadWriteUtils
of(DataStream<?>...) - Static method in class org.apache.flink.iteration.DataStreamList
of(long) - Static method in class org.apache.flink.ml.common.window.CountTumblingWindows: Creates a new CountTumblingWindows.
of(Time) - Static method in class org.apache.flink.ml.common.window.EventTimeTumblingWindows: Creates a new EventTimeTumblingWindows.
of(Time) - Static method in class org.apache.flink.ml.common.window.ProcessingTimeTumblingWindows: Creates a new ProcessingTimeTumblingWindows.
onAligned(GloballyAlignedEvent) - Method in class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator
onAligned(GloballyAlignedEvent) - Method in interface org.apache.flink.iteration.operator.coordinator.SharedProgressAlignerListener
onCheckpointAligned(CoordinatorCheckpointEvent) - Method in class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator
onCheckpointAligned(CoordinatorCheckpointEvent) - Method in interface org.apache.flink.iteration.operator.coordinator.SharedProgressAlignerListener
OneHotEncoder - Class in org.apache.flink.ml.feature.onehotencoder: An Estimator which implements the one-hot encoding algorithm.
OneHotEncoder() - Constructor for class org.apache.flink.ml.feature.onehotencoder.OneHotEncoder
OneHotEncoderExample - Class in org.apache.flink.ml.examples.feature: Simple program that trains a OneHotEncoder model and uses it for feature engineering.
OneHotEncoderExample() - Constructor for class org.apache.flink.ml.examples.feature.OneHotEncoderExample
OneHotEncoderModel - Class in org.apache.flink.ml.feature.onehotencoder: A Model which encodes data into one-hot format using the model data computed by OneHotEncoder.
OneHotEncoderModel() - Constructor for class org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModel
OneHotEncoderModelData - Class in org.apache.flink.ml.feature.onehotencoder: Model data of OneHotEncoderModel.
OneHotEncoderModelData() - Constructor for class org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModelData
OneHotEncoderModelData.ModelDataEncoder - Class in org.apache.flink.ml.feature.onehotencoder: Data encoder for the OneHotEncoder model data.
OneHotEncoderModelData.ModelDataStreamFormat - Class in org.apache.flink.ml.feature.onehotencoder: Data decoder for the OneHotEncoder model data.
OneHotEncoderParams<T> - Interface in org.apache.flink.ml.feature.onehotencoder: Params of OneHotEncoderModel.
OneInputAllRoundWrapperOperator<IN,OUT> - Class in org.apache.flink.iteration.operator.allround: All-round wrapper for the one-input operator.
OneInputAllRoundWrapperOperator(StreamOperatorParameters<IterationRecord<OUT>>, StreamOperatorFactory<OUT>) - Constructor for class org.apache.flink.iteration.operator.allround.OneInputAllRoundWrapperOperator
OneInputBroadcastWrapperOperator<IN,OUT> - Class in org.apache.flink.ml.common.broadcast.operator: Wrapper for OneInputStreamOperator.
OneInputPerRoundWrapperOperator<IN,OUT> - Class in org.apache.flink.iteration.operator.perround: Per-round wrapper operator for the one-input operator.
OneInputPerRoundWrapperOperator(StreamOperatorParameters<IterationRecord<OUT>>, StreamOperatorFactory<OUT>) - Constructor for class org.apache.flink.iteration.operator.perround.OneInputPerRoundWrapperOperator
OneInputTransformationTranslator - Class in org.apache.flink.iteration.compile.translator: Draft translator for the OneInputTransformation.
OneInputTransformationTranslator() - Constructor for class org.apache.flink.iteration.compile.translator.OneInputTransformationTranslator
onEpochWatermark(int, String, int) - Method in class org.apache.flink.iteration.progresstrack.OperatorEpochWatermarkTracker
onEpochWatermarkEvent(int, IterationRecord<?>) - Method in class org.apache.flink.iteration.operator.AbstractWrapperOperator
onEpochWatermarkIncrement(int) - Method in class org.apache.flink.iteration.operator.AbstractWrapperOperator
onEpochWatermarkIncrement(int) - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
onEpochWatermarkIncrement(int) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
onEpochWatermarkIncrement(int) - Method in class org.apache.flink.iteration.operator.ReplayOperator
onEpochWatermarkIncrement(int) - Method in interface org.apache.flink.iteration.progresstrack.OperatorEpochWatermarkTrackerListener: Notifies a new round is aligned to a new epoch watermark.
onEpochWatermarkIncremented(int, IterationListener.Context, Collector<T>) - Method in interface org.apache.flink.iteration.IterationListener: This callback is invoked every time the epoch watermark of this operator increments.
onEpochWatermarkIncremented(int, IterationListener.Context, Collector<T>) - Method in class org.apache.flink.ml.common.iteration.ForwardInputsOfLastRound
onEpochWatermarkIncremented(int, IterationListener.Context, Collector<Integer>) - Method in class org.apache.flink.ml.common.iteration.TerminateOnMaxIter
onEpochWatermarkIncremented(int, IterationListener.Context, Collector<Integer>) - Method in class org.apache.flink.ml.common.iteration.TerminateOnMaxIterOrTol
onGloballyAligned(GloballyAlignedEvent) - Method in interface org.apache.flink.iteration.operator.headprocessor.HeadOperatorRecordProcessor
onGloballyAligned(GloballyAlignedEvent) - Method in class org.apache.flink.iteration.operator.headprocessor.RegularHeadOperatorRecordProcessor
onGloballyAligned(GloballyAlignedEvent) - Method in class org.apache.flink.iteration.operator.headprocessor.TerminatingHeadOperatorRecordProcessor
onIterationTerminated(IterationListener.Context, Collector<T>) - Method in interface org.apache.flink.iteration.IterationListener: This callback is invoked after the execution of the iteration body has terminated.
onIterationTerminated(IterationListener.Context, Collector<T>) - Method in class org.apache.flink.ml.common.iteration.ForwardInputsOfLastRound
onIterationTerminated(IterationListener.Context, Collector<Integer>) - Method in class org.apache.flink.ml.common.iteration.TerminateOnMaxIter
onIterationTerminated(IterationListener.Context, Collector<Integer>) - Method in class org.apache.flink.ml.common.iteration.TerminateOnMaxIterOrTol
OnlineKMeans - Class in org.apache.flink.ml.clustering.kmeans: OnlineKMeans extends the function of KMeans, supporting to train a K-Means model continuously according to an unbounded stream of train data.
OnlineKMeans() - Constructor for class org.apache.flink.ml.clustering.kmeans.OnlineKMeans
OnlineKMeansExample - Class in org.apache.flink.ml.examples.clustering: Simple program that trains an OnlineKMeans model and uses it for clustering.
OnlineKMeansExample() - Constructor for class org.apache.flink.ml.examples.clustering.OnlineKMeansExample
OnlineKMeansModel - Class in org.apache.flink.ml.clustering.kmeans: OnlineKMeansModel can be regarded as an advanced KMeansModel operator which can update model data in a streaming format, using the model data provided by OnlineKMeans.
OnlineKMeansModel() - Constructor for class org.apache.flink.ml.clustering.kmeans.OnlineKMeansModel
OnlineKMeansParams<T> - Interface in org.apache.flink.ml.clustering.kmeans: Params of OnlineKMeans.
OnlineLogisticRegression - Class in org.apache.flink.ml.classification.logisticregression: An Estimator which implements the online logistic regression algorithm.
OnlineLogisticRegression() - Constructor for class org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegression
OnlineLogisticRegressionExample - Class in org.apache.flink.ml.examples.classification: Simple program that trains an OnlineLogisticRegression model and uses it for classification.
OnlineLogisticRegressionExample() - Constructor for class org.apache.flink.ml.examples.classification.OnlineLogisticRegressionExample
OnlineLogisticRegressionModel - Class in org.apache.flink.ml.classification.logisticregression: A Model which classifies data using the model data computed by OnlineLogisticRegression.
OnlineLogisticRegressionModel() - Constructor for class org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionModel
OnlineLogisticRegressionModelParams<T> - Interface in org.apache.flink.ml.classification.logisticregression: Params for OnlineLogisticRegressionModel.
OnlineLogisticRegressionParams<T> - Interface in org.apache.flink.ml.classification.logisticregression: Params of OnlineLogisticRegression.
OnlineStandardScaler - Class in org.apache.flink.ml.feature.standardscaler: An Estimator which implements the online standard scaling algorithm, which is the online version of StandardScaler.
OnlineStandardScaler() - Constructor for class org.apache.flink.ml.feature.standardscaler.OnlineStandardScaler
OnlineStandardScalerExample - Class in org.apache.flink.ml.examples.feature: Simple program that trains a OnlineStandardScaler model and uses it for feature engineering.
OnlineStandardScalerExample() - Constructor for class org.apache.flink.ml.examples.feature.OnlineStandardScalerExample
OnlineStandardScalerModel - Class in org.apache.flink.ml.feature.standardscaler: A Model which transforms data using the model data computed by OnlineStandardScaler.
OnlineStandardScalerModel() - Constructor for class org.apache.flink.ml.feature.standardscaler.OnlineStandardScalerModel
OnlineStandardScalerModelParams<T> - Interface in org.apache.flink.ml.feature.standardscaler: Params for OnlineStandardScalerModel.
OnlineStandardScalerParams<T> - Interface in org.apache.flink.ml.feature.standardscaler: Params for OnlineStandardScaler.
open() - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
open() - Method in class org.apache.flink.iteration.operator.InputOperator
open() - Method in class org.apache.flink.iteration.operator.OutputOperator
open() - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
open() - Method in class org.apache.flink.iteration.operator.TailOperator
open(Configuration) - Method in class org.apache.flink.ml.benchmark.datagenerator.common.RowGenerator
open() - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
open(FunctionContext) - Method in class org.apache.flink.ml.feature.stopwordsremover.StopWordsRemover.RemoveStopWordsFunction
OperatorEpochWatermarkTracker - Class in org.apache.flink.iteration.progresstrack: Tracks the epoch watermark from each input.
OperatorEpochWatermarkTrackerFactory - Class in org.apache.flink.iteration.progresstrack: The factory of OperatorEpochWatermarkTracker.
OperatorEpochWatermarkTrackerFactory() - Constructor for class org.apache.flink.iteration.progresstrack.OperatorEpochWatermarkTrackerFactory
OperatorEpochWatermarkTrackerListener - Interface in org.apache.flink.iteration.progresstrack: The listener of alignment.
operatorFactory - Variable in class org.apache.flink.iteration.operator.AbstractWrapperOperator
operatorFactory - Variable in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
operatorStateBackend() - Method in class org.apache.flink.iteration.proxy.state.ProxyStreamOperatorStateContext
OperatorStateUtils - Class in org.apache.flink.iteration.operator: Utility to deal with the states inside the operator.
OperatorStateUtils() - Constructor for class org.apache.flink.iteration.operator.OperatorStateUtils
OperatorUtils - Class in org.apache.flink.iteration.operator: Utility class for operators.
OperatorUtils() - Constructor for class org.apache.flink.iteration.operator.OperatorUtils
OperatorWrapper<T,R> - Interface in org.apache.flink.iteration.operator: Wrappers for the given operator factory.
optimize(DataStream<DenseVector>, DataStream<LabeledPointWithWeight>, LossFunc) - Method in interface org.apache.flink.ml.common.optimizer.Optimizer: Optimizes the given loss function using the initial model data and the bounded training data.
optimize(DataStream<DenseVector>, DataStream<LabeledPointWithWeight>, LossFunc) - Method in class org.apache.flink.ml.common.optimizer.SGD
Optimizer - Interface in org.apache.flink.ml.common.optimizer: An optimizer is a function to modify the weight of a machine learning model, which aims to find the optimal parameter configuration for a machine learning model.
org.apache.flink.iteration - package org.apache.flink.iteration
org.apache.flink.iteration.broadcast - package org.apache.flink.iteration.broadcast
org.apache.flink.iteration.checkpoint - package org.apache.flink.iteration.checkpoint
org.apache.flink.iteration.compile - package org.apache.flink.iteration.compile
org.apache.flink.iteration.compile.translator - package org.apache.flink.iteration.compile.translator
org.apache.flink.iteration.config - package org.apache.flink.iteration.config
org.apache.flink.iteration.datacache.nonkeyed - package org.apache.flink.iteration.datacache.nonkeyed
org.apache.flink.iteration.functions - package org.apache.flink.iteration.functions
org.apache.flink.iteration.operator - package org.apache.flink.iteration.operator
org.apache.flink.iteration.operator.allround - package org.apache.flink.iteration.operator.allround
org.apache.flink.iteration.operator.coordinator - package org.apache.flink.iteration.operator.coordinator
org.apache.flink.iteration.operator.event - package org.apache.flink.iteration.operator.event
org.apache.flink.iteration.operator.headprocessor - package org.apache.flink.iteration.operator.headprocessor
org.apache.flink.iteration.operator.perround - package org.apache.flink.iteration.operator.perround
org.apache.flink.iteration.progresstrack - package org.apache.flink.iteration.progresstrack
org.apache.flink.iteration.proxy - package org.apache.flink.iteration.proxy
org.apache.flink.iteration.proxy.state - package org.apache.flink.iteration.proxy.state
org.apache.flink.iteration.typeinfo - package org.apache.flink.iteration.typeinfo
org.apache.flink.iteration.utils - package org.apache.flink.iteration.utils
org.apache.flink.ml - package org.apache.flink.ml
org.apache.flink.ml.api - package org.apache.flink.ml.api
org.apache.flink.ml.benchmark - package org.apache.flink.ml.benchmark
org.apache.flink.ml.benchmark.datagenerator - package org.apache.flink.ml.benchmark.datagenerator
org.apache.flink.ml.benchmark.datagenerator.clustering - package org.apache.flink.ml.benchmark.datagenerator.clustering
org.apache.flink.ml.benchmark.datagenerator.common - package org.apache.flink.ml.benchmark.datagenerator.common
org.apache.flink.ml.benchmark.datagenerator.param - package org.apache.flink.ml.benchmark.datagenerator.param
org.apache.flink.ml.builder - package org.apache.flink.ml.builder
org.apache.flink.ml.classification.knn - package org.apache.flink.ml.classification.knn
org.apache.flink.ml.classification.linearsvc - package org.apache.flink.ml.classification.linearsvc
org.apache.flink.ml.classification.logisticregression - package org.apache.flink.ml.classification.logisticregression
org.apache.flink.ml.classification.naivebayes - package org.apache.flink.ml.classification.naivebayes
org.apache.flink.ml.clustering.agglomerativeclustering - package org.apache.flink.ml.clustering.agglomerativeclustering
org.apache.flink.ml.clustering.kmeans - package org.apache.flink.ml.clustering.kmeans
org.apache.flink.ml.common.broadcast - package org.apache.flink.ml.common.broadcast
org.apache.flink.ml.common.broadcast.operator - package org.apache.flink.ml.common.broadcast.operator
org.apache.flink.ml.common.broadcast.typeinfo - package org.apache.flink.ml.common.broadcast.typeinfo
org.apache.flink.ml.common.datastream - package org.apache.flink.ml.common.datastream
org.apache.flink.ml.common.datastream.sort - package org.apache.flink.ml.common.datastream.sort
org.apache.flink.ml.common.distance - package org.apache.flink.ml.common.distance
org.apache.flink.ml.common.feature - package org.apache.flink.ml.common.feature
org.apache.flink.ml.common.iteration - package org.apache.flink.ml.common.iteration
org.apache.flink.ml.common.lossfunc - package org.apache.flink.ml.common.lossfunc
org.apache.flink.ml.common.metrics - package org.apache.flink.ml.common.metrics
org.apache.flink.ml.common.optimizer - package org.apache.flink.ml.common.optimizer
org.apache.flink.ml.common.param - package org.apache.flink.ml.common.param
org.apache.flink.ml.common.typeinfo - package org.apache.flink.ml.common.typeinfo
org.apache.flink.ml.common.util - package org.apache.flink.ml.common.util
org.apache.flink.ml.common.window - package org.apache.flink.ml.common.window
org.apache.flink.ml.evaluation.binaryclassification - package org.apache.flink.ml.evaluation.binaryclassification
org.apache.flink.ml.examples - package org.apache.flink.ml.examples
org.apache.flink.ml.examples.classification - package org.apache.flink.ml.examples.classification
org.apache.flink.ml.examples.clustering - package org.apache.flink.ml.examples.clustering
org.apache.flink.ml.examples.evaluation - package org.apache.flink.ml.examples.evaluation
org.apache.flink.ml.examples.feature - package org.apache.flink.ml.examples.feature
org.apache.flink.ml.examples.recommendation - package org.apache.flink.ml.examples.recommendation
org.apache.flink.ml.examples.regression - package org.apache.flink.ml.examples.regression
org.apache.flink.ml.examples.stats - package org.apache.flink.ml.examples.stats
org.apache.flink.ml.examples.util - package org.apache.flink.ml.examples.util
org.apache.flink.ml.feature.binarizer - package org.apache.flink.ml.feature.binarizer
org.apache.flink.ml.feature.bucketizer - package org.apache.flink.ml.feature.bucketizer
org.apache.flink.ml.feature.countvectorizer - package org.apache.flink.ml.feature.countvectorizer
org.apache.flink.ml.feature.dct - package org.apache.flink.ml.feature.dct
org.apache.flink.ml.feature.elementwiseproduct - package org.apache.flink.ml.feature.elementwiseproduct
org.apache.flink.ml.feature.featurehasher - package org.apache.flink.ml.feature.featurehasher
org.apache.flink.ml.feature.hashingtf - package org.apache.flink.ml.feature.hashingtf
org.apache.flink.ml.feature.idf - package org.apache.flink.ml.feature.idf
org.apache.flink.ml.feature.imputer - package org.apache.flink.ml.feature.imputer
org.apache.flink.ml.feature.interaction - package org.apache.flink.ml.feature.interaction
org.apache.flink.ml.feature.kbinsdiscretizer - package org.apache.flink.ml.feature.kbinsdiscretizer
org.apache.flink.ml.feature.lsh - package org.apache.flink.ml.feature.lsh
org.apache.flink.ml.feature.maxabsscaler - package org.apache.flink.ml.feature.maxabsscaler
org.apache.flink.ml.feature.minmaxscaler - package org.apache.flink.ml.feature.minmaxscaler
org.apache.flink.ml.feature.ngram - package org.apache.flink.ml.feature.ngram
org.apache.flink.ml.feature.normalizer - package org.apache.flink.ml.feature.normalizer
org.apache.flink.ml.feature.onehotencoder - package org.apache.flink.ml.feature.onehotencoder
org.apache.flink.ml.feature.polynomialexpansion - package org.apache.flink.ml.feature.polynomialexpansion
org.apache.flink.ml.feature.randomsplitter - package org.apache.flink.ml.feature.randomsplitter
org.apache.flink.ml.feature.regextokenizer - package org.apache.flink.ml.feature.regextokenizer
org.apache.flink.ml.feature.robustscaler - package org.apache.flink.ml.feature.robustscaler
org.apache.flink.ml.feature.sqltransformer - package org.apache.flink.ml.feature.sqltransformer
org.apache.flink.ml.feature.standardscaler - package org.apache.flink.ml.feature.standardscaler
org.apache.flink.ml.feature.stopwordsremover - package org.apache.flink.ml.feature.stopwordsremover
org.apache.flink.ml.feature.stringindexer - package org.apache.flink.ml.feature.stringindexer
org.apache.flink.ml.feature.tokenizer - package org.apache.flink.ml.feature.tokenizer
org.apache.flink.ml.feature.univariatefeatureselector - package org.apache.flink.ml.feature.univariatefeatureselector
org.apache.flink.ml.feature.variancethresholdselector - package org.apache.flink.ml.feature.variancethresholdselector
org.apache.flink.ml.feature.vectorassembler - package org.apache.flink.ml.feature.vectorassembler
org.apache.flink.ml.feature.vectorindexer - package org.apache.flink.ml.feature.vectorindexer
org.apache.flink.ml.feature.vectorslicer - package org.apache.flink.ml.feature.vectorslicer
org.apache.flink.ml.linalg - package org.apache.flink.ml.linalg
org.apache.flink.ml.linalg.typeinfo - package org.apache.flink.ml.linalg.typeinfo
org.apache.flink.ml.param - package org.apache.flink.ml.param
org.apache.flink.ml.python - package org.apache.flink.ml.python
org.apache.flink.ml.recommendation.swing - package org.apache.flink.ml.recommendation.swing
org.apache.flink.ml.regression.linearregression - package org.apache.flink.ml.regression.linearregression
org.apache.flink.ml.servable.api - package org.apache.flink.ml.servable.api
org.apache.flink.ml.servable.builder - package org.apache.flink.ml.servable.builder
org.apache.flink.ml.servable.types - package org.apache.flink.ml.servable.types
org.apache.flink.ml.stats.anovatest - package org.apache.flink.ml.stats.anovatest
org.apache.flink.ml.stats.chisqtest - package org.apache.flink.ml.stats.chisqtest
org.apache.flink.ml.stats.fvaluetest - package org.apache.flink.ml.stats.fvaluetest
org.apache.flink.ml.util - package org.apache.flink.ml.util
output(OutputTag<X>, X) - Method in interface org.apache.flink.iteration.IterationListener.Context: Emits a record to the side output identified by the OutputTag.
output - Variable in class org.apache.flink.iteration.operator.AbstractWrapperOperator
output(StreamRecord<IterationRecord<?>>) - Method in interface org.apache.flink.iteration.operator.headprocessor.HeadOperatorRecordProcessor.Context
output(OutputTag<IterationRecord<?>>, StreamRecord<IterationRecord<?>>) - Method in interface org.apache.flink.iteration.operator.headprocessor.HeadOperatorRecordProcessor.Context
output - Variable in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
OUTPUT_COL - Static variable in interface org.apache.flink.ml.common.param.HasOutputCol
OUTPUT_COLS - Static variable in interface org.apache.flink.ml.common.param.HasOutputCols
outputIds - Variable in class org.apache.flink.ml.builder.GraphData
outputIds - Variable in class org.apache.flink.ml.builder.GraphNode
outputModelDataIds - Variable in class org.apache.flink.ml.builder.GraphData
outputModelDataIds - Variable in class org.apache.flink.ml.builder.GraphNode
OutputOperator<T> - Class in org.apache.flink.iteration.operator: Output operator that unwraps IterationRecord into user record, and desert all the event records.
OutputOperator() - Constructor for class org.apache.flink.iteration.operator.OutputOperator
outputRecordNum - Variable in class org.apache.flink.ml.benchmark.BenchmarkResult: The total number of output records.
OutputReflectionContext - Class in org.apache.flink.iteration.broadcast: The reflection utilities to parse the output and create the broadcast output.
OutputReflectionContext() - Constructor for class org.apache.flink.iteration.broadcast.OutputReflectionContext
outputThroughput - Variable in class org.apache.flink.ml.benchmark.BenchmarkResult: The average output throughput in number of records per second.

P

P - Static variable in interface org.apache.flink.ml.feature.normalizer.NormalizerParams
packedFeatures - Variable in class org.apache.flink.ml.classification.knn.KnnModelData
Param<T> - Class in org.apache.flink.ml.param: Definition of a parameter, including name, class, description, default value and the validator.
Param(String, Class<T>, String, T, ParamValidator<T>) - Constructor for class org.apache.flink.ml.param.Param
parameters - Variable in class org.apache.flink.iteration.operator.AbstractWrapperOperator
parameters - Variable in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
paramMap - Variable in class org.apache.flink.ml.benchmark.datagenerator.common.InputTableGenerator
ParamUtils - Class in org.apache.flink.ml.util: Utility methods for reading and writing stages.
ParamUtils() - Constructor for class org.apache.flink.ml.util.ParamUtils
ParamValidator<T> - Interface in org.apache.flink.ml.param: An interface to validate that a parameter value is valid.
ParamValidators - Class in org.apache.flink.ml.param: Factory methods for common validation functions on numerical values.
ParamValidators() - Constructor for class org.apache.flink.ml.param.ParamValidators
parseJsonFile(String) - Static method in class org.apache.flink.ml.benchmark.BenchmarkUtils: Loads benchmark configuration maps from the provided json file.
PartitionTransformationTranslator - Class in org.apache.flink.iteration.compile.translator: Draft translator for the PartitionTransformation.
PartitionTransformationTranslator() - Constructor for class org.apache.flink.iteration.compile.translator.PartitionTransformationTranslator
PATTERN - Static variable in interface org.apache.flink.ml.feature.regextokenizer.RegexTokenizerParams
PERCENTILE - Static variable in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
PeriodicSourceFunction - Class in org.apache.flink.ml.examples.util: A source function that collects provided data periodically at a fixed interval.
PeriodicSourceFunction(long, List<List<Row>>) - Constructor for class org.apache.flink.ml.examples.util.PeriodicSourceFunction
PerRoundOperatorWrapper<T> - Class in org.apache.flink.iteration.operator.perround: The operator wrapper implementation for per-round wrappers.
PerRoundOperatorWrapper() - Constructor for class org.apache.flink.iteration.operator.perround.PerRoundOperatorWrapper
piArray - Variable in class org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData: Log of class priors, whose dimension is C (number of classes).
Pipeline - Class in org.apache.flink.ml.builder: A Pipeline acts as an Estimator.
Pipeline(List<Stage<?>>) - Constructor for class org.apache.flink.ml.builder.Pipeline
PipelineModel - Class in org.apache.flink.ml.builder: A PipelineModel acts as a Model.
PipelineModel(List<Stage<?>>) - Constructor for class org.apache.flink.ml.builder.PipelineModel
PipelineModelServable - Class in org.apache.flink.ml.servable.builder: A PipelineModelServable acts as a ModelServable.
PipelineModelServable(List<TransformerServable<?>>) - Constructor for class org.apache.flink.ml.servable.builder.PipelineModelServable
PolynomialExpansion - Class in org.apache.flink.ml.feature.polynomialexpansion: A Transformer that expands the input vectors in polynomial space.
PolynomialExpansion() - Constructor for class org.apache.flink.ml.feature.polynomialexpansion.PolynomialExpansion
PolynomialExpansionExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a PolynomialExpansion instance and uses it for feature engineering.
PolynomialExpansionExample() - Constructor for class org.apache.flink.ml.examples.feature.PolynomialExpansionExample
PolynomialExpansionParams<T> - Interface in org.apache.flink.ml.feature.polynomialexpansion: Params of PolynomialExpansion.
PREDICTION_COL - Static variable in interface org.apache.flink.ml.common.param.HasPredictionCol
prefix(String) - Method in class org.apache.flink.iteration.proxy.state.StateNamePrefix
prepareSnapshotPreBarrier(long) - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
prepareSnapshotPreBarrier(long) - Method in class org.apache.flink.iteration.operator.HeadOperator
prepareSnapshotPreBarrier(long) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
prepareSnapshotPreBarrier(long) - Method in class org.apache.flink.iteration.operator.TailOperator
prepareSnapshotPreBarrier(long) - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
PriorityQueueSerializer<T> - Class in org.apache.flink.ml.common.typeinfo: TypeSerializer for PriorityQueue.
PriorityQueueSerializer(Comparator<? super T>, TypeSerializer<T>) - Constructor for class org.apache.flink.ml.common.typeinfo.PriorityQueueSerializer
PriorityQueueTypeInfo<T> - Class in org.apache.flink.ml.common.typeinfo: TypeInformation for PriorityQueue.
PriorityQueueTypeInfo(Comparator<? super T>, TypeInformation<T>) - Constructor for class org.apache.flink.ml.common.typeinfo.PriorityQueueTypeInfo
process(DataStreamList) - Method in interface org.apache.flink.iteration.IterationBody.PerRoundSubBody
process(DataStreamList, DataStreamList) - Method in interface org.apache.flink.iteration.IterationBody: This method creates the graph for the iteration body.
processElement(I, ProcessFunction<I, O>.Context, Collector<O>) - Method in class org.apache.flink.iteration.functions.EpochAwareAllRoundProcessFunction
processElement(I, int, ProcessFunction<I, O>.Context, Collector<O>) - Method in class org.apache.flink.iteration.functions.EpochAwareAllRoundProcessFunction
processElement(StreamRecord<IterationRecord<IN>>) - Method in class org.apache.flink.iteration.operator.allround.OneInputAllRoundWrapperOperator
processElement(StreamRecord<IterationRecord<?>>) - Method in class org.apache.flink.iteration.operator.HeadOperator
processElement(StreamRecord<IterationRecord<?>>) - Method in interface org.apache.flink.iteration.operator.headprocessor.HeadOperatorRecordProcessor
processElement(StreamRecord<IterationRecord<?>>) - Method in class org.apache.flink.iteration.operator.headprocessor.RegularHeadOperatorRecordProcessor
processElement(StreamRecord<IterationRecord<?>>) - Method in class org.apache.flink.iteration.operator.headprocessor.TerminatingHeadOperatorRecordProcessor
processElement(StreamRecord<T>) - Method in class org.apache.flink.iteration.operator.InputOperator
processElement(StreamRecord<IterationRecord<T>>) - Method in class org.apache.flink.iteration.operator.OutputOperator
processElement(StreamRecord<IterationRecord<IN>>) - Method in class org.apache.flink.iteration.operator.perround.OneInputPerRoundWrapperOperator
processElement(StreamRecord<IterationRecord<?>>) - Method in class org.apache.flink.iteration.operator.TailOperator
processElement(StreamRecord<IN>) - Method in class org.apache.flink.ml.common.broadcast.operator.OneInputBroadcastWrapperOperator
processElement(StreamRecord<DenseVector>) - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScaler.MinMaxReduceFunctionOperator
processElement1(I1, CoProcessFunction<I1, I2, O>.Context, Collector<O>) - Method in class org.apache.flink.iteration.functions.EpochAwareCoProcessFunction
processElement1(I1, int, CoProcessFunction<I1, I2, O>.Context, Collector<O>) - Method in class org.apache.flink.iteration.functions.EpochAwareCoProcessFunction
processElement1(StreamRecord<IterationRecord<IN1>>) - Method in class org.apache.flink.iteration.operator.allround.TwoInputAllRoundWrapperOperator
processElement1(StreamRecord<IterationRecord<IN1>>) - Method in class org.apache.flink.iteration.operator.perround.TwoInputPerRoundWrapperOperator
processElement1(StreamRecord<IterationRecord<T>>) - Method in class org.apache.flink.iteration.operator.ReplayOperator
processElement1(StreamRecord<IN1>) - Method in class org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processElement1(StreamRecord<IN1>) - Method in class org.apache.flink.ml.common.datastream.sort.CoGroupOperator
processElement2(I2, CoProcessFunction<I1, I2, O>.Context, Collector<O>) - Method in class org.apache.flink.iteration.functions.EpochAwareCoProcessFunction
processElement2(I2, int, CoProcessFunction<I1, I2, O>.Context, Collector<O>) - Method in class org.apache.flink.iteration.functions.EpochAwareCoProcessFunction
processElement2(StreamRecord<IterationRecord<IN2>>) - Method in class org.apache.flink.iteration.operator.allround.TwoInputAllRoundWrapperOperator
processElement2(StreamRecord<IterationRecord<IN2>>) - Method in class org.apache.flink.iteration.operator.perround.TwoInputPerRoundWrapperOperator
processElement2(StreamRecord<IterationRecord<Void>>) - Method in class org.apache.flink.iteration.operator.ReplayOperator
processElement2(StreamRecord<IN2>) - Method in class org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processElement2(StreamRecord<IN2>) - Method in class org.apache.flink.ml.common.datastream.sort.CoGroupOperator
processElementX(StreamRecord, int, ThrowingConsumer<StreamRecord, Exception>, ThrowingConsumer<Watermark, Exception>, ThrowingConsumer<StreamRecord, Exception>) - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: Extracts common processing logic in subclasses' processing elements.
processFeedback(StreamRecord<IterationRecord<?>>) - Method in class org.apache.flink.iteration.operator.HeadOperator
processFeedbackElement(StreamRecord<IterationRecord<?>>) - Method in interface org.apache.flink.iteration.operator.headprocessor.HeadOperatorRecordProcessor
processFeedbackElement(StreamRecord<IterationRecord<?>>) - Method in class org.apache.flink.iteration.operator.headprocessor.RegularHeadOperatorRecordProcessor
processFeedbackElement(StreamRecord<IterationRecord<?>>) - Method in class org.apache.flink.iteration.operator.headprocessor.TerminatingHeadOperatorRecordProcessor
processForEachWrappedOperator(BiConsumerWithException<Integer, S, Exception>) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
ProcessingTimeSessionWindows - Class in org.apache.flink.ml.common.window: A windowing strategy that groups elements into sessions based on the current system time of the machine the operation is running on.
ProcessingTimeTumblingWindows - Class in org.apache.flink.ml.common.window: A windowing strategy that groups elements into fixed-size windows based on the current system time of the machine the operation is running on.
processLatencyMarker(LatencyMarker) - Method in class org.apache.flink.iteration.operator.allround.OneInputAllRoundWrapperOperator
processLatencyMarker(LatencyMarker) - Method in class org.apache.flink.iteration.operator.perround.OneInputPerRoundWrapperOperator
processLatencyMarker(LatencyMarker) - Method in class org.apache.flink.ml.common.broadcast.operator.OneInputBroadcastWrapperOperator
processLatencyMarker1(LatencyMarker) - Method in class org.apache.flink.iteration.operator.allround.TwoInputAllRoundWrapperOperator
processLatencyMarker1(LatencyMarker) - Method in class org.apache.flink.iteration.operator.perround.TwoInputPerRoundWrapperOperator
processLatencyMarker1(LatencyMarker) - Method in class org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processLatencyMarker2(LatencyMarker) - Method in class org.apache.flink.iteration.operator.allround.TwoInputAllRoundWrapperOperator
processLatencyMarker2(LatencyMarker) - Method in class org.apache.flink.iteration.operator.perround.TwoInputPerRoundWrapperOperator
processLatencyMarker2(LatencyMarker) - Method in class org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processOperatorOrUdfIfSatisfy(StreamOperator<?>, Class<T>, ThrowingConsumer<T, Exception>) - Static method in class org.apache.flink.iteration.operator.OperatorUtils
processWatermark(Watermark) - Method in class org.apache.flink.iteration.operator.allround.OneInputAllRoundWrapperOperator
processWatermark(Watermark) - Method in class org.apache.flink.iteration.operator.InputOperator
processWatermark(Watermark) - Method in class org.apache.flink.iteration.operator.perround.OneInputPerRoundWrapperOperator
processWatermark(Watermark) - Method in class org.apache.flink.ml.common.broadcast.operator.OneInputBroadcastWrapperOperator
processWatermark(Watermark) - Method in class org.apache.flink.ml.common.datastream.sort.CoGroupOperator
processWatermark1(Watermark) - Method in class org.apache.flink.iteration.operator.allround.TwoInputAllRoundWrapperOperator
processWatermark1(Watermark) - Method in class org.apache.flink.iteration.operator.perround.TwoInputPerRoundWrapperOperator
processWatermark1(Watermark) - Method in class org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processWatermark2(Watermark) - Method in class org.apache.flink.iteration.operator.allround.TwoInputAllRoundWrapperOperator
processWatermark2(Watermark) - Method in class org.apache.flink.iteration.operator.perround.TwoInputPerRoundWrapperOperator
processWatermark2(Watermark) - Method in class org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processWatermarkStatus(WatermarkStatus) - Method in class org.apache.flink.iteration.operator.allround.OneInputAllRoundWrapperOperator
processWatermarkStatus(WatermarkStatus) - Method in class org.apache.flink.iteration.operator.perround.OneInputPerRoundWrapperOperator
processWatermarkStatus(WatermarkStatus) - Method in class org.apache.flink.ml.common.broadcast.operator.OneInputBroadcastWrapperOperator
processWatermarkStatus1(WatermarkStatus) - Method in class org.apache.flink.iteration.operator.allround.TwoInputAllRoundWrapperOperator
processWatermarkStatus1(WatermarkStatus) - Method in class org.apache.flink.iteration.operator.perround.TwoInputPerRoundWrapperOperator
processWatermarkStatus1(WatermarkStatus) - Method in class org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processWatermarkStatus2(WatermarkStatus) - Method in class org.apache.flink.iteration.operator.allround.TwoInputAllRoundWrapperOperator
processWatermarkStatus2(WatermarkStatus) - Method in class org.apache.flink.iteration.operator.perround.TwoInputPerRoundWrapperOperator
processWatermarkStatus2(WatermarkStatus) - Method in class org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processWatermarkX(Watermark, int, ThrowingConsumer<StreamRecord, Exception>, ThrowingConsumer<Watermark, Exception>, ThrowingConsumer<StreamRecord, Exception>) - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: Extracts common processing logic in subclasses' processing watermarks.
ProxyInternalTimeServiceManager<K> - Class in org.apache.flink.iteration.proxy.state: Proxy InternalTimeServiceManager for the wrapped operators.
ProxyInternalTimeServiceManager(InternalTimeServiceManager<K>, StateNamePrefix) - Constructor for class org.apache.flink.iteration.proxy.state.ProxyInternalTimeServiceManager
ProxyKeyedStateBackend<K> - Class in org.apache.flink.iteration.proxy.state: Proxy KeyedStateBackend for the wrapped operators.
ProxyKeyedStateBackend(CheckpointableKeyedStateBackend<K>, StateNamePrefix) - Constructor for class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
ProxyKeySelector<T,KEY> - Class in org.apache.flink.iteration.proxy: Proxy key selector for the wrapped one.
ProxyKeySelector(KeySelector<T, KEY>) - Constructor for class org.apache.flink.iteration.proxy.ProxyKeySelector
ProxyOperatorStateBackend - Class in org.apache.flink.iteration.proxy.state: Proxy OperatorStateBackend for the wrapped Operator.
ProxyOperatorStateBackend(OperatorStateBackend, StateNamePrefix) - Constructor for class org.apache.flink.iteration.proxy.state.ProxyOperatorStateBackend
proxyOutput - Variable in class org.apache.flink.iteration.operator.AbstractWrapperOperator
ProxyOutput<T> - Class in org.apache.flink.iteration.proxy: Proxy output to provide to the wrapped operator.
ProxyOutput(Output<StreamRecord<IterationRecord<T>>>) - Constructor for class org.apache.flink.iteration.proxy.ProxyOutput
ProxyStateSnapshotContext - Class in org.apache.flink.iteration.proxy.state: Proxy StateSnapshotContext for the wrapped operators.
ProxyStateSnapshotContext(StateSnapshotContext) - Constructor for class org.apache.flink.iteration.proxy.state.ProxyStateSnapshotContext
ProxyStreamOperatorStateContext - Class in org.apache.flink.iteration.proxy.state: Proxy StreamOperatorStateContext for the wrapped operator.
ProxyStreamOperatorStateContext(StreamOperatorStateContext, String, Iterator<StatePartitionStreamProvider>, int) - Constructor for class org.apache.flink.iteration.proxy.state.ProxyStreamOperatorStateContext
ProxyStreamPartitioner<T> - Class in org.apache.flink.iteration.proxy: Proxy stream partitioner for the wrapped one.
ProxyStreamPartitioner(StreamPartitioner<T>) - Constructor for class org.apache.flink.iteration.proxy.ProxyStreamPartitioner
putBroadcastVariable(String, Tuple2<Boolean, List<?>>) - Static method in class org.apache.flink.ml.common.broadcast.BroadcastContext
putDouble(byte[], int, double) - Static method in class org.apache.flink.ml.util.Bits
putLong(byte[], int, long) - Static method in class org.apache.flink.ml.util.Bits
putMailBoxExecutor(String, MailboxExecutor) - Static method in class org.apache.flink.ml.common.broadcast.BroadcastContext
putNormalizedKey(Tuple2<byte[], StreamRecord<IN>>, MemorySegment, int, int) - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
putNormalizedKey(Tuple2<byte[], StreamRecord<IN>>, MemorySegment, int, int) - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
PythonBridgeUtils - Class in org.apache.flink.ml.python: Utility functions used to override PyFlink methods to provide a temporary solution for certain bugs.
PythonBridgeUtils() - Constructor for class org.apache.flink.ml.python.PythonBridgeUtils

Q

QUANTILE - Static variable in interface org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerParams
QuantileSummary - Class in org.apache.flink.ml.common.util: Helper class to compute an approximate quantile summary.
QuantileSummary() - Constructor for class org.apache.flink.ml.common.util.QuantileSummary: Empty QuantileSummary Constructor.
QuantileSummary(double) - Constructor for class org.apache.flink.ml.common.util.QuantileSummary: QuantileSummary Constructor.
QuantileSummary(double, int) - Constructor for class org.apache.flink.ml.common.util.QuantileSummary: QuantileSummary Constructor.
QuantileSummary(double, int, List<QuantileSummary.StatsTuple>, long, boolean) - Constructor for class org.apache.flink.ml.common.util.QuantileSummary: QuantileSummary Constructor.
QuantileSummary.StatsTuple - Class in org.apache.flink.ml.common.util: Wrapper class to hold all statistics from the Greenwald-Khanna paper.
QuantileSummaryTypeInfoFactory - Class in org.apache.flink.ml.common.typeinfo: Used by TypeExtractor to create a TypeInformation for implementations of QuantileSummary.
QuantileSummaryTypeInfoFactory() - Constructor for class org.apache.flink.ml.common.typeinfo.QuantileSummaryTypeInfoFactory
query(double) - Method in class org.apache.flink.ml.common.util.QuantileSummary: Runs a query for a given percentile.
query(double[]) - Method in class org.apache.flink.ml.common.util.QuantileSummary: Runs a query for a given sequence of percentiles.

R

randCoefficientA - Variable in class org.apache.flink.ml.feature.lsh.MinHashLSHModelData
randCoefficientB - Variable in class org.apache.flink.ml.feature.lsh.MinHashLSHModelData
random - Variable in class org.apache.flink.ml.benchmark.datagenerator.common.RowGenerator: Random instance to generate data.
RandomSplitter - Class in org.apache.flink.ml.feature.randomsplitter: An AlgoOperator which splits a Table into N Tables according to the given weights.
RandomSplitter() - Constructor for class org.apache.flink.ml.feature.randomsplitter.RandomSplitter
RandomSplitterExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a RandomSplitter instance and uses it for data splitting.
RandomSplitterExample() - Constructor for class org.apache.flink.ml.examples.feature.RandomSplitterExample
RandomSplitterParams<T> - Interface in org.apache.flink.ml.feature.randomsplitter: Params of RandomSplitter.
RandomStringArrayGenerator - Class in org.apache.flink.ml.benchmark.datagenerator.common: A DataGenerator which creates a table of random string arrays.
RandomStringArrayGenerator() - Constructor for class org.apache.flink.ml.benchmark.datagenerator.common.RandomStringArrayGenerator
RandomStringGenerator - Class in org.apache.flink.ml.benchmark.datagenerator.common: A DataGenerator which creates a table of random strings.
RandomStringGenerator() - Constructor for class org.apache.flink.ml.benchmark.datagenerator.common.RandomStringGenerator
ranges - Variable in class org.apache.flink.ml.feature.robustscaler.RobustScalerModelData
RAW_PREDICTION_COL - Static variable in interface org.apache.flink.ml.common.param.HasRawPredictionCol
rawKeyedStateInputs() - Method in class org.apache.flink.iteration.proxy.state.ProxyStreamOperatorStateContext
rawOperatorStateInputs() - Method in class org.apache.flink.iteration.proxy.state.ProxyStreamOperatorStateContext
readWithKeyDenormalization(Tuple2<byte[], StreamRecord<IN>>, DataInputView) - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
readWithKeyDenormalization(Tuple2<byte[], StreamRecord<IN>>, DataInputView) - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
ReadWriteUtils - Class in org.apache.flink.ml.util: Utility methods for reading and writing stages.
ReadWriteUtils() - Constructor for class org.apache.flink.ml.util.ReadWriteUtils
RecordWriterBroadcastOutput<OUT> - Class in org.apache.flink.iteration.broadcast: The broadcast output corresponding to a record writer output.
RecordWriterBroadcastOutput(RecordWriter<SerializationDelegate<StreamElement>>, TypeSerializer<StreamElement>) - Constructor for class org.apache.flink.iteration.broadcast.RecordWriterBroadcastOutput
recover(InputStream, FileSystem, SupplierWithException<Path, IOException>) - Static method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheSnapshot: Recovers a data cache instance from the input stream.
reduce(DataStream<T>, ReduceFunction<T>) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: Applies a ReduceFunction on a bounded data stream.
reduce(DataStream<T>, ReduceFunction<T>, TypeInformation<T>) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: Applies a ReduceFunction on a bounded data stream.
reduce(KeyedStream<T, K>, ReduceFunction<T>) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: Applies a ReduceFunction on a bounded keyed data stream.
reduce(KeyedStream<T, K>, ReduceFunction<T>, TypeInformation<T>) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: Applies a ReduceFunction on a bounded keyed data stream.
ReduceTransformationTranslator - Class in org.apache.flink.iteration.compile.translator: Draft translator for the ReduceTransformation.
ReduceTransformationTranslator() - Constructor for class org.apache.flink.iteration.compile.translator.ReduceTransformationTranslator
ReflectionUtils - Class in org.apache.flink.iteration.utils: Utility class to provide some reflection tools.
ReflectionUtils() - Constructor for class org.apache.flink.iteration.utils.ReflectionUtils
REG - Static variable in interface org.apache.flink.ml.common.param.HasReg
RegexTokenizer - Class in org.apache.flink.ml.feature.regextokenizer: A Transformer which converts the input string to lowercase and then splits it by white spaces based on regex.
RegexTokenizer() - Constructor for class org.apache.flink.ml.feature.regextokenizer.RegexTokenizer
RegexTokenizer.RegexTokenizerUdf - Class in org.apache.flink.ml.feature.regextokenizer: The main logic of $RegexTokenizer, which converts the input string to an array of tokens.
RegexTokenizerExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a RegexTokenizer instance and uses it for feature engineering.
RegexTokenizerExample() - Constructor for class org.apache.flink.ml.examples.feature.RegexTokenizerExample
RegexTokenizerParams<T> - Interface in org.apache.flink.ml.feature.regextokenizer: Params for RegexTokenizer.
RegexTokenizerUdf() - Constructor for class org.apache.flink.ml.feature.regextokenizer.RegexTokenizer.RegexTokenizerUdf
registerAlignedListener(OperatorID, SharedProgressAlignerListener) - Method in class org.apache.flink.iteration.operator.coordinator.SharedProgressAligner
registerFeedbackConsumer(FeedbackChannel<V>, FeedbackConsumer<V>, Executor) - Static method in class org.apache.flink.iteration.operator.OperatorUtils: Registers the specified feedbackConsumer to the feedbackChannel.
registerKeySelectionListener(KeyedStateBackend.KeySelectionListener<K>) - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
RegularHeadOperatorRecordProcessor - Class in org.apache.flink.iteration.operator.headprocessor: Processes the event before we received the terminated global aligned event from the coordinator.
RegularHeadOperatorRecordProcessor(HeadOperatorRecordProcessor.Context) - Constructor for class org.apache.flink.iteration.operator.headprocessor.RegularHeadOperatorRecordProcessor
RELATIVE_ERROR - Static variable in interface org.apache.flink.ml.common.param.HasRelativeError
remove(String) - Static method in class org.apache.flink.ml.common.broadcast.BroadcastContext
removeProgressInfo(OperatorID) - Method in class org.apache.flink.iteration.operator.coordinator.SharedProgressAligner
removeProgressInfo(OperatorID, int) - Method in class org.apache.flink.iteration.operator.coordinator.SharedProgressAligner
RemoveStopWordsFunction(Set<String>, Locale, boolean) - Constructor for class org.apache.flink.ml.feature.stopwordsremover.StopWordsRemover.RemoveStopWordsFunction
replay(InputStream, TypeSerializer<T>, FeedbackConsumer<T>) - Static method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheSnapshot: Replays cached records in the data cache from the input stream into the target feedback consumer.
replay(DataStream<?>...) - Static method in class org.apache.flink.iteration.ReplayableDataStreamList
ReplayableDataStreamList - Class in org.apache.flink.iteration: A list of data streams and whether they need replayed.
ReplayableDataStreamList.NonReplayedDataStreamList - Class in org.apache.flink.iteration: A special ReplayableDataStreamList that all streams should be not replayed.
ReplayableDataStreamList.ReplayedDataStreamList - Class in org.apache.flink.iteration: A special ReplayableDataStreamList that all streams should be replayed.
ReplayedDataStreamList(List<DataStream<?>>) - Constructor for class org.apache.flink.iteration.ReplayableDataStreamList.ReplayedDataStreamList
ReplayOperator<T> - Class in org.apache.flink.iteration.operator: Replays the data received in the round 0 in the following round.
ReplayOperator() - Constructor for class org.apache.flink.iteration.operator.ReplayOperator
reportOrForwardLatencyMarker(LatencyMarker) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
reportSubtaskProgress(OperatorID, int, SubtaskAlignedEvent) - Method in class org.apache.flink.iteration.operator.coordinator.SharedProgressAligner
requestCheckpoint(long, int, CompletableFuture<byte[]>) - Method in class org.apache.flink.iteration.operator.coordinator.SharedProgressAligner
resetToCheckpoint(long, byte[]) - Method in class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator
RobustScaler - Class in org.apache.flink.ml.feature.robustscaler: An Estimator which scales features using statistics that are robust to outliers.
RobustScaler() - Constructor for class org.apache.flink.ml.feature.robustscaler.RobustScaler
RobustScalerExample - Class in org.apache.flink.ml.examples.feature: Simple program that trains a RobustScaler model and uses it for feature selection.
RobustScalerExample() - Constructor for class org.apache.flink.ml.examples.feature.RobustScalerExample
RobustScalerModel - Class in org.apache.flink.ml.feature.robustscaler: A Model which transforms data using the model data computed by RobustScaler.
RobustScalerModel() - Constructor for class org.apache.flink.ml.feature.robustscaler.RobustScalerModel
RobustScalerModelData - Class in org.apache.flink.ml.feature.robustscaler: Model data of RobustScalerModel.
RobustScalerModelData() - Constructor for class org.apache.flink.ml.feature.robustscaler.RobustScalerModelData
RobustScalerModelData(DenseVector, DenseVector) - Constructor for class org.apache.flink.ml.feature.robustscaler.RobustScalerModelData
RobustScalerModelData.ModelDataDecoder - Class in org.apache.flink.ml.feature.robustscaler: Data decoder for the RobustScalerModel model data.
RobustScalerModelData.ModelDataEncoder - Class in org.apache.flink.ml.feature.robustscaler: Data encoder for the RobustScalerModel model data.
RobustScalerModelParams<T> - Interface in org.apache.flink.ml.feature.robustscaler: Params for RobustScalerModel.
RobustScalerParams<T> - Interface in org.apache.flink.ml.feature.robustscaler: Params for RobustScaler.
Row - Class in org.apache.flink.ml.servable.api: Represents an ordered list of values.
Row(List<Object>) - Constructor for class org.apache.flink.ml.servable.api.Row: The given values should be mutable in order for TransformerServable classes to update DataFrame with the serving results.
RowGenerator - Class in org.apache.flink.ml.benchmark.datagenerator.common: A parallel source to generate user defined rows.
RowGenerator(long, long) - Constructor for class org.apache.flink.ml.benchmark.datagenerator.common.RowGenerator
RowUtils - Class in org.apache.flink.ml.util: Utilities to deal with Row instances.
RowUtils() - Constructor for class org.apache.flink.ml.util.RowUtils
run(SourceFunction.SourceContext<T>) - Method in class org.apache.flink.iteration.compile.DraftExecutionEnvironment.EmptySource
run(SourceFunction.SourceContext<Row>) - Method in class org.apache.flink.ml.benchmark.datagenerator.common.RowGenerator
run(SourceFunction.SourceContext<Row>) - Method in class org.apache.flink.ml.examples.util.PeriodicSourceFunction
runBenchmark(StreamTableEnvironment, String, Map<String, Map<String, ?>>, boolean) - Static method in class org.apache.flink.ml.benchmark.BenchmarkUtils: Instantiates a benchmark from its parameter map and executes the benchmark in the provided environment.

S

sample(DataStream<T>, int, long) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: Performs an approximate uniform sampling over the elements in a bounded data stream.
save(String) - Method in interface org.apache.flink.ml.api.Stage: Saves the metadata and bounded data of this stage to the given path.
save(String) - Method in class org.apache.flink.ml.builder.Graph
save(String) - Method in class org.apache.flink.ml.builder.GraphModel
save(String) - Method in class org.apache.flink.ml.builder.Pipeline
save(String) - Method in class org.apache.flink.ml.builder.PipelineModel
save(String) - Method in class org.apache.flink.ml.classification.knn.Knn
save(String) - Method in class org.apache.flink.ml.classification.knn.KnnModel
save(String) - Method in class org.apache.flink.ml.classification.linearsvc.LinearSVC
save(String) - Method in class org.apache.flink.ml.classification.linearsvc.LinearSVCModel
save(String) - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegression
save(String) - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel
save(String) - Method in class org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegression
save(String) - Method in class org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionModel
save(String) - Method in class org.apache.flink.ml.classification.naivebayes.NaiveBayes
save(String) - Method in class org.apache.flink.ml.classification.naivebayes.NaiveBayesModel
save(String) - Method in class org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClustering
save(String) - Method in class org.apache.flink.ml.clustering.kmeans.KMeans
save(String) - Method in class org.apache.flink.ml.clustering.kmeans.KMeansModel
save(String) - Method in class org.apache.flink.ml.clustering.kmeans.OnlineKMeans: Saves the metadata AND bounded model data table (if exists) to the given path.
save(String) - Method in class org.apache.flink.ml.clustering.kmeans.OnlineKMeansModel: Saves the metadata to the given path.
save(String) - Method in class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator
save(String) - Method in class org.apache.flink.ml.feature.binarizer.Binarizer
save(String) - Method in class org.apache.flink.ml.feature.bucketizer.Bucketizer
save(String) - Method in class org.apache.flink.ml.feature.countvectorizer.CountVectorizer
save(String) - Method in class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModel
save(String) - Method in class org.apache.flink.ml.feature.dct.DCT
save(String) - Method in class org.apache.flink.ml.feature.elementwiseproduct.ElementwiseProduct
save(String) - Method in class org.apache.flink.ml.feature.featurehasher.FeatureHasher
save(String) - Method in class org.apache.flink.ml.feature.hashingtf.HashingTF
save(String) - Method in class org.apache.flink.ml.feature.idf.IDF
save(String) - Method in class org.apache.flink.ml.feature.idf.IDFModel
save(String) - Method in class org.apache.flink.ml.feature.imputer.Imputer
save(String) - Method in class org.apache.flink.ml.feature.imputer.ImputerModel
save(String) - Method in class org.apache.flink.ml.feature.interaction.Interaction
save(String) - Method in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizer
save(String) - Method in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModel
save(String) - Method in class org.apache.flink.ml.feature.lsh.MinHashLSHModel
save(String) - Method in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScaler
save(String) - Method in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModel
save(String) - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScaler
save(String) - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModel
save(String) - Method in class org.apache.flink.ml.feature.ngram.NGram
save(String) - Method in class org.apache.flink.ml.feature.normalizer.Normalizer
save(String) - Method in class org.apache.flink.ml.feature.onehotencoder.OneHotEncoder
save(String) - Method in class org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModel
save(String) - Method in class org.apache.flink.ml.feature.polynomialexpansion.PolynomialExpansion
save(String) - Method in class org.apache.flink.ml.feature.randomsplitter.RandomSplitter
save(String) - Method in class org.apache.flink.ml.feature.regextokenizer.RegexTokenizer
save(String) - Method in class org.apache.flink.ml.feature.robustscaler.RobustScaler
save(String) - Method in class org.apache.flink.ml.feature.robustscaler.RobustScalerModel
save(String) - Method in class org.apache.flink.ml.feature.sqltransformer.SQLTransformer
save(String) - Method in class org.apache.flink.ml.feature.standardscaler.OnlineStandardScaler
save(String) - Method in class org.apache.flink.ml.feature.standardscaler.OnlineStandardScalerModel
save(String) - Method in class org.apache.flink.ml.feature.standardscaler.StandardScaler
save(String) - Method in class org.apache.flink.ml.feature.standardscaler.StandardScalerModel
save(String) - Method in class org.apache.flink.ml.feature.stopwordsremover.StopWordsRemover
save(String) - Method in class org.apache.flink.ml.feature.stringindexer.IndexToStringModel
save(String) - Method in class org.apache.flink.ml.feature.stringindexer.StringIndexer
save(String) - Method in class org.apache.flink.ml.feature.stringindexer.StringIndexerModel
save(String) - Method in class org.apache.flink.ml.feature.tokenizer.Tokenizer
save(String) - Method in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelector
save(String) - Method in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModel
save(String) - Method in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelector
save(String) - Method in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModel
save(String) - Method in class org.apache.flink.ml.feature.vectorassembler.VectorAssembler
save(String) - Method in class org.apache.flink.ml.feature.vectorindexer.VectorIndexer
save(String) - Method in class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModel
save(String) - Method in class org.apache.flink.ml.feature.vectorslicer.VectorSlicer
save(String) - Method in class org.apache.flink.ml.recommendation.swing.Swing
save(String) - Method in class org.apache.flink.ml.regression.linearregression.LinearRegression
save(String) - Method in class org.apache.flink.ml.regression.linearregression.LinearRegressionModel
save(String) - Method in class org.apache.flink.ml.stats.anovatest.ANOVATest
save(String) - Method in class org.apache.flink.ml.stats.chisqtest.ChiSqTest
save(String) - Method in class org.apache.flink.ml.stats.fvaluetest.FValueTest
saveGraph(Stage<?>, GraphData, String) - Static method in class org.apache.flink.ml.util.ReadWriteUtils: Saves a Graph or GraphModel with the given GraphData to the given path.
saveMetadata(Stage<?>, String, Map<String, ?>) - Static method in class org.apache.flink.ml.util.ReadWriteUtils: Saves the metadata of the given stage and the extra metadata to a file named `metadata` under the given path.
saveMetadata(Stage<?>, String) - Static method in class org.apache.flink.ml.util.ReadWriteUtils: Saves the metadata of the given stage to a file named `metadata` under the given path.
saveModelData(DataStream<T>, String, Encoder<T>) - Static method in class org.apache.flink.ml.util.ReadWriteUtils: Saves the model data stream to the given path using the model encoder.
savePipeline(Stage<?>, List<Stage<?>>, String) - Static method in class org.apache.flink.ml.util.ReadWriteUtils: Saves a Pipeline or PipelineModel with the given list of stages to the given path.
savepoint() - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
saveToFile(String, String, boolean) - Static method in class org.apache.flink.ml.util.FileUtils: Saves a given string to the specified file.
scal(double, Vector) - Static method in class org.apache.flink.ml.linalg.BLAS: x = x * a .
ScalarType - Class in org.apache.flink.ml.servable.types: A DataType representing a single element of the given BasicType.
ScalarType(BasicType) - Constructor for class org.apache.flink.ml.servable.types.ScalarType
SCALING_VEC - Static variable in interface org.apache.flink.ml.feature.elementwiseproduct.ElementwiseProductParams
SEED - Static variable in interface org.apache.flink.ml.common.param.HasSeed
Segment - Class in org.apache.flink.iteration.datacache.nonkeyed: A segment contains the information about a cache unit.
selectByIndices(Vector, int[]) - Static method in class org.apache.flink.ml.common.util.VectorUtils: Selects a subset of the vector base on the indices.
selectChannel(SerializationDelegate<StreamRecord<IterationRecord<T>>>) - Method in class org.apache.flink.iteration.proxy.ProxyStreamPartitioner
SELECTION_MODE - Static variable in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams: Supported options of the feature selection mode.
SELECTION_THRESHOLD - Static variable in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
selectRandomCentroids(DataStream<DenseVector>, int, long) - Static method in class org.apache.flink.ml.clustering.kmeans.KMeans
serialize(IterationRecord<T>, DataOutputView) - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
serialize(CacheElement<T>, DataOutputView) - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
serialize(Tuple2<byte[], StreamRecord<IN>>, DataOutputView) - Method in class org.apache.flink.ml.common.datastream.sort.KeyAndValueSerializer
serialize(PriorityQueue<T>, DataOutputView) - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueSerializer
serialize(DenseMatrix, DataOutputView) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixSerializer
serialize(DenseVector, DataOutputView) - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer
serialize(SparseVector, DataOutputView) - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorSerializer
serialize(Vector, DataOutputView) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorSerializer
serialize(VectorWithNorm, DataOutputView) - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormSerializer
serializerNumber(int, DataOutputView) - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer: Variant encoding for the epoch.
ServableReadWriteUtils - Class in org.apache.flink.ml.util: Utility methods for loading Servables.
ServableReadWriteUtils() - Constructor for class org.apache.flink.ml.util.ServableReadWriteUtils
set(int, double) - Method in class org.apache.flink.ml.linalg.DenseVector
set(int, double) - Method in class org.apache.flink.ml.linalg.SparseVector
set(int, double) - Method in interface org.apache.flink.ml.linalg.Vector: Sets the value of the ith element.
set(Param<V>, V) - Method in interface org.apache.flink.ml.param.WithParams: Sets the value of the parameter.
setAlpha(Double) - Method in interface org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionParams
setAlpha1(Integer) - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
setAlpha2(Integer) - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
setArity(int) - Method in class org.apache.flink.ml.benchmark.datagenerator.common.DoubleGenerator
setArraySize(int) - Method in interface org.apache.flink.ml.benchmark.datagenerator.param.HasArraySize
setBeta(Double) - Method in interface org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionParams
setBeta(Double) - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
setBinary(boolean) - Method in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelParams
setBinary(boolean) - Method in interface org.apache.flink.ml.feature.hashingtf.HashingTFParams
setBroadcastVariable(String, List<?>) - Method in class org.apache.flink.ml.common.broadcast.BroadcastStreamingRuntimeContext
setCaseSensitive(boolean) - Method in interface org.apache.flink.ml.feature.stopwordsremover.StopWordsRemoverParams
setCategoricalCols(String...) - Method in interface org.apache.flink.ml.common.param.HasCategoricalCols
setCheckpointId(long) - Method in class org.apache.flink.iteration.IterationRecord
setCheckpoints(SubtaskFeedbackKey<V>, Checkpoints<V>) - Method in class org.apache.flink.iteration.checkpoint.CheckpointsBroker
setColNames(String[]...) - Method in interface org.apache.flink.ml.benchmark.datagenerator.InputDataGenerator
setComputeFullTree(Boolean) - Method in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
setContextRound(Integer) - Method in class org.apache.flink.iteration.proxy.ProxyOutput
setCriteriaStreamParallelism(int) - Method in class org.apache.flink.iteration.operator.HeadOperatorFactory
setCurrentKey(Object) - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
setCurrentKey(Object) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
setCurrentKey(K) - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
setCurrentKey(Object) - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
setCurrentWrapper(OperatorWrapper<?, ?>) - Method in class org.apache.flink.iteration.compile.DraftExecutionEnvironment
setDecayFactor(Double) - Method in interface org.apache.flink.ml.common.param.HasDecayFactor
setDegree(Integer) - Method in interface org.apache.flink.ml.feature.polynomialexpansion.PolynomialExpansionParams
setDistanceMeasure(String) - Method in interface org.apache.flink.ml.common.param.HasDistanceMeasure
setDistanceThreshold(Double) - Method in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
setDropLast(boolean) - Method in interface org.apache.flink.ml.feature.onehotencoder.OneHotEncoderParams
setElasticNet(Double) - Method in interface org.apache.flink.ml.common.param.HasElasticNet
setEpoch(int) - Method in class org.apache.flink.iteration.IterationRecord
setEpochSupplier(Supplier<Integer>) - Method in class org.apache.flink.iteration.functions.EpochAwareAllRoundProcessFunction
setEpochSupplier(Supplier<Integer>) - Method in class org.apache.flink.iteration.functions.EpochAwareCoProcessFunction
setEpochSupplier(Supplier<Integer>) - Method in interface org.apache.flink.iteration.operator.allround.EpochAware
setFeatureArity(int) - Method in class org.apache.flink.ml.benchmark.datagenerator.common.LabeledPointWithWeightGenerator
setFeatures(DenseVector) - Method in class org.apache.flink.ml.common.feature.LabeledPointWithWeight
setFeaturesCol(String) - Method in interface org.apache.flink.ml.common.param.HasFeaturesCol
setFeatureType(String) - Method in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
setFlatten(boolean) - Method in interface org.apache.flink.ml.common.param.HasFlatten
setGaps(boolean) - Method in interface org.apache.flink.ml.feature.regextokenizer.RegexTokenizerParams
setGlobalBatchSize(Integer) - Method in interface org.apache.flink.ml.common.param.HasGlobalBatchSize
setHandleInvalid(String) - Method in interface org.apache.flink.ml.common.param.HasHandleInvalid
setIndices(Integer...) - Method in interface org.apache.flink.ml.feature.vectorslicer.VectorSlicerParams
setInitialModelData(Table) - Method in class org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegression: Sets the initial model data of the online training process with the provided model data table.
setInitialModelData(Table) - Method in class org.apache.flink.ml.clustering.kmeans.OnlineKMeans: Sets the initial model data of the online training process with the provided model data table.
setInitMode(String) - Method in interface org.apache.flink.ml.clustering.kmeans.KMeansParams
setInputCol(String) - Method in interface org.apache.flink.ml.common.param.HasInputCol
setInputCols(String...) - Method in interface org.apache.flink.ml.common.param.HasInputCols
setInputSizes(Integer...) - Method in interface org.apache.flink.ml.feature.vectorassembler.VectorAssemblerParams
setInverse(boolean) - Method in interface org.apache.flink.ml.feature.dct.DCTParams
setItemCol(String) - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
setIterationContextRound(Integer) - Method in class org.apache.flink.iteration.operator.AbstractWrapperOperator
setK(Integer) - Method in interface org.apache.flink.ml.classification.knn.KnnModelParams
setK(int) - Method in interface org.apache.flink.ml.clustering.kmeans.KMeansModelParams
setK(Integer) - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
setKeyContextElement(StreamRecord<IterationRecord<IN>>) - Method in class org.apache.flink.iteration.operator.allround.OneInputAllRoundWrapperOperator
setKeyContextElement(StreamRecord<IN>) - Method in class org.apache.flink.ml.common.broadcast.operator.OneInputBroadcastWrapperOperator
setKeyContextElement1(StreamRecord<?>) - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
setKeyContextElement1(StreamRecord) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
setKeyContextElement1(StreamRecord<?>) - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
setKeyContextElement2(StreamRecord<?>) - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
setKeyContextElement2(StreamRecord) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
setKeyContextElement2(StreamRecord<?>) - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
setLabel(double) - Method in class org.apache.flink.ml.common.feature.LabeledPointWithWeight
setLabelArity(int) - Method in class org.apache.flink.ml.benchmark.datagenerator.common.LabeledPointWithWeightGenerator
setLabelCol(String) - Method in interface org.apache.flink.ml.common.param.HasLabelCol
setLabelType(String) - Method in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
setLearningRate(Double) - Method in interface org.apache.flink.ml.common.param.HasLearningRate
setLinkage(String) - Method in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
setLocale(String) - Method in interface org.apache.flink.ml.feature.stopwordsremover.StopWordsRemoverParams
setLower(Double) - Method in interface org.apache.flink.ml.feature.robustscaler.RobustScalerParams
setMailboxExecutor(MailboxExecutor) - Method in class org.apache.flink.iteration.operator.HeadOperatorFactory
setManagedMemoryWeight(DataStream<T>, long) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: Sets {Transformation#declareManagedMemoryUseCaseAtOperatorScope(ManagedMemoryUseCase, int)} using the given bytes for ManagedMemoryUseCase.OPERATOR.
setMax(Double) - Method in interface org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerParams
setMaxAllowedModelDelayMs(long) - Method in interface org.apache.flink.ml.common.param.HasMaxAllowedModelDelayMs
setMaxCategories(int) - Method in interface org.apache.flink.ml.feature.vectorindexer.VectorIndexerParams
setMaxDF(double) - Method in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerParams
setMaxIndexNum(int) - Method in interface org.apache.flink.ml.feature.stringindexer.StringIndexerParams
setMaxIter(int) - Method in interface org.apache.flink.ml.common.param.HasMaxIter
setMaxOutputTableNum(int) - Method in class org.apache.flink.ml.builder.GraphBuilder: Specifies the loose upper bound of the number of output tables that can be returned by the Model::getModelData() and AlgoOperator::transform() methods, for any stage involved in this Graph.
setMaxUserBehavior(Integer) - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
setMaxUserNumPerItem(Integer) - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
setMetricsNames(String...) - Method in interface org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluatorParams
setMin(Double) - Method in interface org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerParams
setMinDF(double) - Method in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerParams
setMinDocFreq(Integer) - Method in interface org.apache.flink.ml.feature.idf.IDFParams
setMinTF(double) - Method in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelParams
setMinTokenLength(int) - Method in interface org.apache.flink.ml.feature.regextokenizer.RegexTokenizerParams
setMinUserBehavior(Integer) - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
setMissingValue(double) - Method in interface org.apache.flink.ml.feature.imputer.ImputerModelParams
setModelData(Table...) - Method in interface org.apache.flink.ml.api.Model: Sets model data using the given list of tables.
setModelData(Table...) - Method in class org.apache.flink.ml.builder.GraphModel
setModelData(Table...) - Method in class org.apache.flink.ml.classification.knn.KnnModel
setModelData(Table...) - Method in class org.apache.flink.ml.classification.linearsvc.LinearSVCModel
setModelData(Table...) - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel
setModelData(InputStream...) - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelServable
setModelData(Table...) - Method in class org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionModel
setModelData(Table...) - Method in class org.apache.flink.ml.classification.naivebayes.NaiveBayesModel
setModelData(Table...) - Method in class org.apache.flink.ml.clustering.kmeans.KMeansModel
setModelData(Table...) - Method in class org.apache.flink.ml.clustering.kmeans.OnlineKMeansModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.idf.IDFModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.imputer.ImputerModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.robustscaler.RobustScalerModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.standardscaler.OnlineStandardScalerModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.standardscaler.StandardScalerModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.stringindexer.IndexToStringModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.stringindexer.StringIndexerModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModel
setModelData(Table...) - Method in class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModel
setModelData(Table...) - Method in class org.apache.flink.ml.regression.linearregression.LinearRegressionModel
setModelData(InputStream...) - Method in interface org.apache.flink.ml.servable.api.ModelServable: Sets model data using the serialized model data from the given input streams.
setModelDataOnEstimator(Estimator<?, ?>, TableId...) - Method in class org.apache.flink.ml.builder.GraphBuilder: When the graph runs as Estimator, it first generates a GraphModel that contains the Model fitted by the given Estimator.
setModelDataOnModel(Model<?>, TableId...) - Method in class org.apache.flink.ml.builder.GraphBuilder: When the graph runs as Estimator, the setModelData() of the given Model would be invoked with the given inputs before its transform() is invoked.
setModelType(String) - Method in interface org.apache.flink.ml.classification.naivebayes.NaiveBayesModelParams
setModelVersionCol(String) - Method in interface org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionModelParams
setModelVersionCol(String) - Method in interface org.apache.flink.ml.common.param.HasModelVersionCol
setMultiClass(String) - Method in interface org.apache.flink.ml.common.param.HasMultiClass
setN(int) - Method in interface org.apache.flink.ml.feature.ngram.NGramParams
setNumBins(int) - Method in interface org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerParams
setNumClusters(Integer) - Method in interface org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClusteringParams
setNumDistinctValues(int) - Method in interface org.apache.flink.ml.benchmark.datagenerator.param.HasNumDistinctValues
setNumFeatures(int) - Method in interface org.apache.flink.ml.common.param.HasNumFeatures
setNumHashFunctionsPerTable(Integer) - Method in interface org.apache.flink.ml.feature.lsh.LSHParams
setNumHashTables(Integer) - Method in interface org.apache.flink.ml.feature.lsh.LSHParams
setNumValues(long) - Method in interface org.apache.flink.ml.benchmark.datagenerator.InputDataGenerator
setOperatorLifeCycle(IterationConfig.OperatorLifeCycle) - Method in class org.apache.flink.iteration.IterationConfig.IterationConfigBuilder
setOutputCol(String) - Method in interface org.apache.flink.ml.common.param.HasOutputCol
setOutputCols(String...) - Method in interface org.apache.flink.ml.common.param.HasOutputCols
setP(Double) - Method in interface org.apache.flink.ml.feature.normalizer.NormalizerParams
setParam(WithParams<?>, Param<T>, Object) - Static method in class org.apache.flink.ml.util.ParamUtils
setPattern(String) - Method in interface org.apache.flink.ml.feature.regextokenizer.RegexTokenizerParams
setPredictionCol(String) - Method in interface org.apache.flink.ml.common.param.HasPredictionCol
setRawPredictionCol(String) - Method in interface org.apache.flink.ml.common.param.HasRawPredictionCol
setRecord(T) - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
setReference(Tuple2<byte[], StreamRecord<IN>>) - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
setReference(Tuple2<byte[], StreamRecord<IN>>) - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
setReg(Double) - Method in interface org.apache.flink.ml.common.param.HasReg
setRelativeError(double) - Method in interface org.apache.flink.ml.common.param.HasRelativeError
setScalingVec(Vector) - Method in interface org.apache.flink.ml.feature.elementwiseproduct.ElementwiseProductParams
setSeed(long) - Method in interface org.apache.flink.ml.common.param.HasSeed
setSelectionMode(String) - Method in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
setSelectionThreshold(double) - Method in interface org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorParams
setSender(String) - Method in class org.apache.flink.iteration.IterationRecord
setSmoothing(Double) - Method in interface org.apache.flink.ml.classification.naivebayes.NaiveBayesParams
setSplitsArray(Double[][]) - Method in interface org.apache.flink.ml.feature.bucketizer.BucketizerParams
setStatement(String) - Method in interface org.apache.flink.ml.feature.sqltransformer.SQLTransformerParams
setStopWords(String[]) - Method in interface org.apache.flink.ml.feature.stopwordsremover.StopWordsRemoverParams
setStrategy(String) - Method in interface org.apache.flink.ml.feature.imputer.ImputerParams
setStrategy(String) - Method in interface org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerParams
setStringOrderType(String) - Method in interface org.apache.flink.ml.feature.stringindexer.StringIndexerParams
setSubSamples(Integer) - Method in interface org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerParams
setThreshold(Double) - Method in interface org.apache.flink.ml.classification.linearsvc.LinearSVCModelParams
setThresholds(Double...) - Method in interface org.apache.flink.ml.feature.binarizer.BinarizerParams
setTol(Double) - Method in interface org.apache.flink.ml.common.param.HasTol
setToLowercase(boolean) - Method in interface org.apache.flink.ml.feature.regextokenizer.RegexTokenizerParams
setType(IterationRecord.Type) - Method in class org.apache.flink.iteration.IterationRecord
setType(CacheElement.Type) - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
setup(StreamTask<?, ?>, StreamConfig, Output<StreamRecord<IterationRecord<?>>>) - Method in class org.apache.flink.iteration.operator.HeadOperator
setup(StreamTask<?, ?>, StreamConfig, Output<StreamRecord<IterationRecord<T>>>) - Method in class org.apache.flink.iteration.operator.ReplayOperator
setup(StreamTask<?, ?>, StreamConfig, Output<StreamRecord<Void>>) - Method in class org.apache.flink.iteration.operator.TailOperator
setup(int) - Method in class org.apache.flink.iteration.proxy.ProxyStreamPartitioner
setup(StreamTask<?, ?>, StreamConfig, Output<StreamRecord<OUT>>) - Method in class org.apache.flink.ml.common.datastream.sort.CoGroupOperator
setUpper(Double) - Method in interface org.apache.flink.ml.feature.robustscaler.RobustScalerParams
setUserCol(String) - Method in interface org.apache.flink.ml.recommendation.swing.SwingParams
setValue(T) - Method in class org.apache.flink.iteration.IterationRecord
setVarianceThreshold(double) - Method in interface org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorParams
setVectorDim(int) - Method in interface org.apache.flink.ml.benchmark.datagenerator.param.HasVectorDim
setVocabularySize(int) - Method in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerParams
setWatermark(long) - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
setWeight(double) - Method in class org.apache.flink.ml.common.feature.LabeledPointWithWeight
setWeightCol(String) - Method in interface org.apache.flink.ml.common.param.HasWeightCol
setWeights(Double...) - Method in interface org.apache.flink.ml.feature.randomsplitter.RandomSplitterParams
setWindows(Windows) - Method in interface org.apache.flink.ml.common.param.HasWindows
setWithCentering(boolean) - Method in interface org.apache.flink.ml.feature.robustscaler.RobustScalerModelParams
setWithMean(boolean) - Method in interface org.apache.flink.ml.feature.standardscaler.StandardScalerParams
setWithScaling(boolean) - Method in interface org.apache.flink.ml.feature.robustscaler.RobustScalerModelParams
setWithStd(boolean) - Method in interface org.apache.flink.ml.feature.standardscaler.StandardScalerParams
SGD - Class in org.apache.flink.ml.common.optimizer: Stochastic Gradient Descent (SGD) is the mostly wide-used optimizer for optimizing machine learning models.
SGD(int, double, int, double, double, double) - Constructor for class org.apache.flink.ml.common.optimizer.SGD
shallowCopy() - Method in class org.apache.flink.ml.common.util.QuantileSummary.StatsTuple
SharedProgressAligner - Class in org.apache.flink.iteration.operator.coordinator: The progress aligner shared between multiple HeadOperatorCoordinator.
SharedProgressAlignerListener - Interface in org.apache.flink.iteration.operator.coordinator: The listener of the SharedProgressAligner.
SHORT - Static variable in class org.apache.flink.ml.servable.types.DataTypes
SideOutputTransformationTranslator - Class in org.apache.flink.iteration.compile.translator: Draft translator for the SideOutputTransformation.
SideOutputTransformationTranslator() - Constructor for class org.apache.flink.iteration.compile.translator.SideOutputTransformationTranslator
size() - Method in class org.apache.flink.iteration.DataStreamList: Returns the number of data streams in this list.
size() - Method in class org.apache.flink.ml.linalg.DenseVector
size() - Method in class org.apache.flink.ml.linalg.SparseVector
size() - Method in interface org.apache.flink.ml.linalg.Vector: Gets the size of the vector.
size() - Method in class org.apache.flink.ml.servable.api.Row: Returns the number of values in this row.
sizesValidator() - Static method in interface org.apache.flink.ml.feature.vectorassembler.VectorAssemblerParams
SKIP_INVALID - Static variable in interface org.apache.flink.ml.common.param.HasHandleInvalid
SMOOTHING - Static variable in interface org.apache.flink.ml.classification.naivebayes.NaiveBayesParams
snapshot(long, long, CheckpointStreamFactory, CheckpointOptions) - Method in class org.apache.flink.iteration.proxy.state.ProxyKeyedStateBackend
snapshot(long, long, CheckpointStreamFactory, CheckpointOptions) - Method in class org.apache.flink.iteration.proxy.state.ProxyOperatorStateBackend
snapshotConfiguration() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordSerializer
snapshotConfiguration() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
snapshotConfiguration() - Method in class org.apache.flink.ml.common.datastream.sort.KeyAndValueSerializer
snapshotConfiguration() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueSerializer
snapshotConfiguration() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixSerializer
snapshotConfiguration() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer
snapshotConfiguration() - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorSerializer
snapshotConfiguration() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorSerializer
snapshotConfiguration() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormSerializer
snapshotState(StateSnapshotContext) - Method in class org.apache.flink.iteration.datacache.nonkeyed.ListStateWithCache
snapshotState(long, long, CheckpointOptions, CheckpointStreamFactory) - Method in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
snapshotState(StateSnapshotContext) - Method in class org.apache.flink.iteration.operator.HeadOperator
snapshotState() - Method in interface org.apache.flink.iteration.operator.headprocessor.HeadOperatorRecordProcessor
snapshotState() - Method in class org.apache.flink.iteration.operator.headprocessor.RegularHeadOperatorRecordProcessor
snapshotState() - Method in class org.apache.flink.iteration.operator.headprocessor.TerminatingHeadOperatorRecordProcessor
snapshotState(long, long, CheckpointOptions, CheckpointStreamFactory) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
snapshotState(StateSnapshotContext) - Method in class org.apache.flink.iteration.operator.perround.AbstractPerRoundWrapperOperator
snapshotState(StateSnapshotContext) - Method in class org.apache.flink.iteration.operator.ReplayOperator
snapshotState(long, long, CheckpointOptions, CheckpointStreamFactory) - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
snapshotState(StateSnapshotContext) - Method in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
snapshotState(StateSnapshotContext) - Method in class org.apache.flink.ml.common.broadcast.operator.BroadcastVariableReceiverOperator
snapshotState(StateSnapshotContext) - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScaler.MinMaxReduceFunctionOperator
snapshotToRawKeyedState(KeyedStateCheckpointOutputStream, String) - Method in class org.apache.flink.iteration.proxy.state.ProxyInternalTimeServiceManager
sparse(int, int[], double[]) - Static method in class org.apache.flink.ml.linalg.Vectors: Creates a sparse vector from its values.
SparseVector - Class in org.apache.flink.ml.linalg: A sparse vector of double values.
SparseVector(int, int[], double[]) - Constructor for class org.apache.flink.ml.linalg.SparseVector
SparseVectorSerializer - Class in org.apache.flink.ml.linalg.typeinfo: Specialized serializer for SparseVector.
SparseVectorSerializer() - Constructor for class org.apache.flink.ml.linalg.typeinfo.SparseVectorSerializer
SparseVectorSerializer.SparseVectorSerializerSnapshot - Class in org.apache.flink.ml.linalg.typeinfo: Serializer configuration snapshot for compatibility and format evolution.
SparseVectorSerializerSnapshot() - Constructor for class org.apache.flink.ml.linalg.typeinfo.SparseVectorSerializer.SparseVectorSerializerSnapshot
SparseVectorTypeInfo - Class in org.apache.flink.ml.linalg.typeinfo: A TypeInformation for the SparseVector type.
SparseVectorTypeInfo() - Constructor for class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfo
SparseVectorTypeInfoFactory - Class in org.apache.flink.ml.linalg.typeinfo: Used by TypeExtractor to create a TypeInformation for implementations of SparseVector.
SparseVectorTypeInfoFactory() - Constructor for class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfoFactory
SPLITS_ARRAY - Static variable in interface org.apache.flink.ml.feature.bucketizer.BucketizerParams: The array of split points for mapping continuous features into buckets for multiple columns.
SplitsArrayValidator() - Constructor for class org.apache.flink.ml.feature.bucketizer.BucketizerParams.SplitsArrayValidator
SQLStatementValidator() - Constructor for class org.apache.flink.ml.feature.sqltransformer.SQLTransformerParams.SQLStatementValidator
SQLTransformer - Class in org.apache.flink.ml.feature.sqltransformer: SQLTransformer implements the transformations that are defined by SQL statement.
SQLTransformer() - Constructor for class org.apache.flink.ml.feature.sqltransformer.SQLTransformer
SQLTransformerExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a SQLTransformer instance and uses it for feature engineering.
SQLTransformerExample() - Constructor for class org.apache.flink.ml.examples.feature.SQLTransformerExample
SQLTransformerParams<T> - Interface in org.apache.flink.ml.feature.sqltransformer: Params for SQLTransformer.
SQLTransformerParams.SQLStatementValidator - Class in org.apache.flink.ml.feature.sqltransformer: Param validator for SQL statements.
Stage<T extends Stage<T>> - Interface in org.apache.flink.ml.api: Base class for a node in a Pipeline or Graph.
stage - Variable in class org.apache.flink.ml.builder.GraphNode
stageType - Variable in class org.apache.flink.ml.builder.GraphNode
StandardScaler - Class in org.apache.flink.ml.feature.standardscaler: An Estimator which implements the standard scaling algorithm.
StandardScaler() - Constructor for class org.apache.flink.ml.feature.standardscaler.StandardScaler
StandardScalerExample - Class in org.apache.flink.ml.examples.feature: Simple program that trains a StandardScaler model and uses it for feature engineering.
StandardScalerExample() - Constructor for class org.apache.flink.ml.examples.feature.StandardScalerExample
StandardScalerModel - Class in org.apache.flink.ml.feature.standardscaler: A Model which transforms data using the model data computed by StandardScaler.
StandardScalerModel() - Constructor for class org.apache.flink.ml.feature.standardscaler.StandardScalerModel
StandardScalerModelData - Class in org.apache.flink.ml.feature.standardscaler: Model data of StandardScalerModel.
StandardScalerModelData() - Constructor for class org.apache.flink.ml.feature.standardscaler.StandardScalerModelData
StandardScalerModelData(DenseVector, DenseVector) - Constructor for class org.apache.flink.ml.feature.standardscaler.StandardScalerModelData
StandardScalerModelData(DenseVector, DenseVector, long, long) - Constructor for class org.apache.flink.ml.feature.standardscaler.StandardScalerModelData
StandardScalerModelData.ModelDataDecoder - Class in org.apache.flink.ml.feature.standardscaler: Data decoder for the StandardScalerModel model data.
StandardScalerModelData.ModelDataEncoder - Class in org.apache.flink.ml.feature.standardscaler: Data encoder for the StandardScalerModel model data.
StandardScalerParams<T> - Interface in org.apache.flink.ml.feature.standardscaler: Params for StandardScaler.
start() - Method in class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator
startLogging(long, OperatorStateCheckpointOutputStream) - Method in class org.apache.flink.iteration.checkpoint.Checkpoints
stateHandler - Variable in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
STATEMENT - Static variable in interface org.apache.flink.ml.feature.sqltransformer.SQLTransformerParams
StateNamePrefix - Class in org.apache.flink.iteration.proxy.state: The prefix for the state name.
StateNamePrefix(String) - Constructor for class org.apache.flink.iteration.proxy.state.StateNamePrefix
StatsTuple() - Constructor for class org.apache.flink.ml.common.util.QuantileSummary.StatsTuple
StatsTuple(double, long, long) - Constructor for class org.apache.flink.ml.common.util.QuantileSummary.StatsTuple
std - Variable in class org.apache.flink.ml.feature.standardscaler.StandardScalerModelData: Standard deviation of each dimension.
STOP_WORDS - Static variable in interface org.apache.flink.ml.feature.stopwordsremover.StopWordsRemoverParams
StopWordsRemover - Class in org.apache.flink.ml.feature.stopwordsremover: A feature transformer that filters out stop words from input.
StopWordsRemover() - Constructor for class org.apache.flink.ml.feature.stopwordsremover.StopWordsRemover
StopWordsRemover.RemoveStopWordsFunction - Class in org.apache.flink.ml.feature.stopwordsremover: A Scalar Function that removes stop words from input string array.
StopWordsRemoverExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a StopWordsRemover instance and uses it for feature engineering.
StopWordsRemoverExample() - Constructor for class org.apache.flink.ml.examples.feature.StopWordsRemoverExample
StopWordsRemoverParams<T> - Interface in org.apache.flink.ml.feature.stopwordsremover: Params of StopWordsRemover.
STRATEGY - Static variable in interface org.apache.flink.ml.feature.imputer.ImputerParams: Supported options of the imputation strategy.
STRATEGY - Static variable in interface org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerParams: Supported options to define the widths of the bins are listed as follows.
streamConfig - Variable in class org.apache.flink.iteration.operator.AbstractWrapperOperator
streamConfig - Variable in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
STRING - Static variable in class org.apache.flink.ml.servable.types.DataTypes
STRING_ORDER_TYPE - Static variable in interface org.apache.flink.ml.feature.stringindexer.StringIndexerParams: Supported options to decide the order of strings in each column are listed as follows.
StringArrayArrayParam - Class in org.apache.flink.ml.param: Class for the array of string array parameter.
StringArrayArrayParam(String, String, String[][], ParamValidator<String[][]>) - Constructor for class org.apache.flink.ml.param.StringArrayArrayParam
StringArrayArrayParam(String, String, String[][]) - Constructor for class org.apache.flink.ml.param.StringArrayArrayParam
StringArrayParam - Class in org.apache.flink.ml.param: Class for the string array parameter.
StringArrayParam(String, String, String[], ParamValidator<String[]>) - Constructor for class org.apache.flink.ml.param.StringArrayParam
StringArrayParam(String, String, String[]) - Constructor for class org.apache.flink.ml.param.StringArrayParam
stringArrays - Variable in class org.apache.flink.ml.feature.stringindexer.StringIndexerModelData: Ordered strings of each input column.
StringIndexer - Class in org.apache.flink.ml.feature.stringindexer: An Estimator which implements the string indexing algorithm.
StringIndexer() - Constructor for class org.apache.flink.ml.feature.stringindexer.StringIndexer
StringIndexerExample - Class in org.apache.flink.ml.examples.feature: Simple program that trains a StringIndexer model and uses it for feature engineering.
StringIndexerExample() - Constructor for class org.apache.flink.ml.examples.feature.StringIndexerExample
StringIndexerModel - Class in org.apache.flink.ml.feature.stringindexer: A Model which transforms input string/numeric column(s) to double column(s) using the model data computed by StringIndexer.
StringIndexerModel() - Constructor for class org.apache.flink.ml.feature.stringindexer.StringIndexerModel
StringIndexerModelData - Class in org.apache.flink.ml.feature.stringindexer: Model data of StringIndexerModel and IndexToStringModel.
StringIndexerModelData(String[][]) - Constructor for class org.apache.flink.ml.feature.stringindexer.StringIndexerModelData
StringIndexerModelData() - Constructor for class org.apache.flink.ml.feature.stringindexer.StringIndexerModelData
StringIndexerModelData.ModelDataDecoder - Class in org.apache.flink.ml.feature.stringindexer: Data decoder for StringIndexerModel and IndexToStringModel.
StringIndexerModelData.ModelDataEncoder - Class in org.apache.flink.ml.feature.stringindexer: Data encoder for StringIndexerModel and IndexToStringModel.
StringIndexerModelParams<T> - Interface in org.apache.flink.ml.feature.stringindexer: Params of StringIndexerModel.
StringIndexerParams<T> - Interface in org.apache.flink.ml.feature.stringindexer: Params of StringIndexer.
StringParam - Class in org.apache.flink.ml.param: Class for the string parameter.
StringParam(String, String, String, ParamValidator<String>) - Constructor for class org.apache.flink.ml.param.StringParam
StringParam(String, String, String) - Constructor for class org.apache.flink.ml.param.StringParam
SUB_SAMPLES - Static variable in interface org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerParams
SubtaskAlignedEvent - Class in org.apache.flink.iteration.operator.event: The event sent from HeadOperator to HeadOperatorCoordinator to notify the subtask has received the EpochWatermark for the specified round.
SubtaskAlignedEvent(int, long, boolean) - Constructor for class org.apache.flink.iteration.operator.event.SubtaskAlignedEvent
subtaskReset(int, long) - Method in class org.apache.flink.iteration.operator.coordinator.HeadOperatorCoordinator
supportServable() - Method in class org.apache.flink.ml.builder.PipelineModel: Whether all stages in the pipeline have corresponding TransformerServable so that the PipelineModel can be turned into a TransformerServable and used in an online inference program.
supportsNormalizedKey() - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
supportsNormalizedKey() - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
supportsSerializationWithKeyNormalization() - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
supportsSerializationWithKeyNormalization() - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
surrogates - Variable in class org.apache.flink.ml.feature.imputer.ImputerModelData
Swing - Class in org.apache.flink.ml.recommendation.swing: An AlgoOperator which implements the Swing algorithm.
Swing() - Constructor for class org.apache.flink.ml.recommendation.swing.Swing
SwingExample - Class in org.apache.flink.ml.examples.recommendation: Simple program that creates a Swing instance and uses it to generate recommendations for items.
SwingExample() - Constructor for class org.apache.flink.ml.examples.recommendation.SwingExample
SwingParams<T> - Interface in org.apache.flink.ml.recommendation.swing: Params for Swing.

T

TableId - Class in org.apache.flink.ml.builder: The TableId is necessary to pass the inputs/outputs of various API calls across the nodes of Graph and GraphModel.
TableId(int) - Constructor for class org.apache.flink.ml.builder.TableId
TableUtils - Class in org.apache.flink.ml.common.datastream: Utility class for operations related to Table API.
TableUtils() - Constructor for class org.apache.flink.ml.common.datastream.TableUtils
TailOperator - Class in org.apache.flink.iteration.operator: The tail operators is attached after each feedback operator to increment the round of each record.
TailOperator(IterationID, int) - Constructor for class org.apache.flink.iteration.operator.TailOperator
taskId - Variable in class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator.BinarySummary
TerminateOnMaxIter<T> - Class in org.apache.flink.ml.common.iteration: A FlatMapFunction that emits values iff the iteration's epochWatermark does not exceed a certain threshold.
TerminateOnMaxIter(int) - Constructor for class org.apache.flink.ml.common.iteration.TerminateOnMaxIter
TerminateOnMaxIterOrTol - Class in org.apache.flink.ml.common.iteration: A FlatMapFunction that emits values iff the iteration's epochWatermark does not exceed a certain threshold and the loss exceeds a certain tolerance.
TerminateOnMaxIterOrTol(Integer, Double) - Constructor for class org.apache.flink.ml.common.iteration.TerminateOnMaxIterOrTol
TerminateOnMaxIterOrTol(Double) - Constructor for class org.apache.flink.ml.common.iteration.TerminateOnMaxIterOrTol
TerminatingHeadOperatorRecordProcessor - Class in org.apache.flink.iteration.operator.headprocessor: Processor used after we received terminated globally aligned event from the coordinator, but before we received the (Integer.MAX_VALUE + 1) from the feedback channel again.
TerminatingHeadOperatorRecordProcessor(HeadOperatorRecordProcessor.Context) - Constructor for class org.apache.flink.iteration.operator.headprocessor.TerminatingHeadOperatorRecordProcessor
TerminatingOnInitializeEvent - Class in org.apache.flink.iteration.operator.event: Notifies the HeadOperatorCoordinator that the status has been terminating on startup so that the coordinator would not emit CoordinatorCheckpointEvent.
theta - Variable in class org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData: Log of class conditional probabilities, whose dimension is C (number of classes) by D (number of features).
THRESHOLD - Static variable in interface org.apache.flink.ml.classification.linearsvc.LinearSVCModelParams: Param for threshold in linear support vector classifier.
THRESHOLDS - Static variable in interface org.apache.flink.ml.feature.binarizer.BinarizerParams
timeServiceManager - Variable in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
TIMESTAMP - Static variable in class org.apache.flink.ml.common.metrics.MLMetrics
timestamp - Variable in class org.apache.flink.ml.feature.standardscaler.StandardScalerModelData: Model timestamp.
TO_LOWERCASE - Static variable in interface org.apache.flink.ml.feature.regextokenizer.RegexTokenizerParams
toArray() - Method in class org.apache.flink.ml.linalg.DenseVector
toArray() - Method in class org.apache.flink.ml.linalg.SparseVector
toArray() - Method in interface org.apache.flink.ml.linalg.Vector: Converts the instance to a double array.
toDense() - Method in class org.apache.flink.ml.linalg.DenseMatrix
toDense() - Method in class org.apache.flink.ml.linalg.DenseVector
toDense() - Method in interface org.apache.flink.ml.linalg.Matrix: Converts the instance to a dense matrix.
toDense() - Method in class org.apache.flink.ml.linalg.SparseVector
toDense() - Method in interface org.apache.flink.ml.linalg.Vector: Converts the instance to a dense vector.
Tokenizer - Class in org.apache.flink.ml.feature.tokenizer: A Transformer which converts the input string to lowercase and then splits it by white spaces.
Tokenizer() - Constructor for class org.apache.flink.ml.feature.tokenizer.Tokenizer
Tokenizer.TokenizerUdf - Class in org.apache.flink.ml.feature.tokenizer: The main logic of Tokenizer, which converts the input string to an array of tokens.
TokenizerExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a Tokenizer instance and uses it for feature engineering.
TokenizerExample() - Constructor for class org.apache.flink.ml.examples.feature.TokenizerExample
TokenizerParams<T> - Interface in org.apache.flink.ml.feature.tokenizer: Params of Tokenizer.
TokenizerUdf() - Constructor for class org.apache.flink.ml.feature.tokenizer.Tokenizer.TokenizerUdf
TOL - Static variable in interface org.apache.flink.ml.common.param.HasTol
toList(TableId[]) - Static method in class org.apache.flink.ml.builder.TableId
toMap() - Method in class org.apache.flink.ml.benchmark.BenchmarkResult
toMap() - Method in class org.apache.flink.ml.builder.GraphData
toMap() - Method in class org.apache.flink.ml.builder.GraphNode
toSparse() - Method in class org.apache.flink.ml.linalg.DenseVector
toSparse() - Method in class org.apache.flink.ml.linalg.SparseVector
toSparse() - Method in interface org.apache.flink.ml.linalg.Vector: Converts the instance to a sparse vector.
toString() - Method in class org.apache.flink.iteration.datacache.nonkeyed.Segment
toString() - Method in class org.apache.flink.iteration.IterationRecord
toString() - Method in class org.apache.flink.iteration.operator.event.CoordinatorCheckpointEvent
toString() - Method in class org.apache.flink.iteration.operator.event.GloballyAlignedEvent
toString() - Method in class org.apache.flink.iteration.operator.event.SubtaskAlignedEvent
toString() - Method in class org.apache.flink.iteration.proxy.ProxyStreamPartitioner
toString() - Method in class org.apache.flink.iteration.typeinfo.IterationRecordTypeInfo
toString() - Method in class org.apache.flink.ml.builder.GraphNode
toString() - Method in class org.apache.flink.ml.builder.TableId
toString() - Method in class org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
toString() - Method in class org.apache.flink.ml.common.datastream.EndOfStreamWindows
toString() - Method in class org.apache.flink.ml.common.typeinfo.PriorityQueueTypeInfo
toString() - Method in class org.apache.flink.ml.linalg.DenseVector
toString() - Method in class org.apache.flink.ml.linalg.SparseVector
toString() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseMatrixTypeInfo
toString() - Method in class org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfo
toString() - Method in class org.apache.flink.ml.linalg.typeinfo.SparseVectorTypeInfo
toString() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfo
toString() - Method in class org.apache.flink.ml.linalg.typeinfo.VectorWithNormTypeInfo
toString() - Method in class org.apache.flink.ml.param.Param
totalTimeMs - Variable in class org.apache.flink.ml.benchmark.BenchmarkResult: The total execution time of the benchmark in milliseconds.
transform(Table...) - Method in interface org.apache.flink.ml.api.AlgoOperator: Applies the AlgoOperator on the given input tables and returns the result tables.
transform(Table...) - Method in class org.apache.flink.ml.builder.GraphModel
transform(Table...) - Method in class org.apache.flink.ml.builder.PipelineModel: Applies all stages in this PipelineModel on the input tables in order.
transform(Table...) - Method in class org.apache.flink.ml.classification.knn.KnnModel
transform(Table...) - Method in class org.apache.flink.ml.classification.linearsvc.LinearSVCModel
transform(Table...) - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel
transform(DataFrame) - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelServable
transform(Vector) - Method in class org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelServable: The main logic that predicts one input data point.
transform(Table...) - Method in class org.apache.flink.ml.classification.logisticregression.OnlineLogisticRegressionModel
transform(Table...) - Method in class org.apache.flink.ml.classification.naivebayes.NaiveBayesModel
transform(Table...) - Method in class org.apache.flink.ml.clustering.agglomerativeclustering.AgglomerativeClustering
transform(Table...) - Method in class org.apache.flink.ml.clustering.kmeans.KMeansModel
transform(Table...) - Method in class org.apache.flink.ml.clustering.kmeans.OnlineKMeansModel
transform(Table...) - Method in class org.apache.flink.ml.evaluation.binaryclassification.BinaryClassificationEvaluator
transform(Table...) - Method in class org.apache.flink.ml.feature.binarizer.Binarizer
transform(Table...) - Method in class org.apache.flink.ml.feature.bucketizer.Bucketizer
transform(Table...) - Method in class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModel
transform(Table...) - Method in class org.apache.flink.ml.feature.dct.DCT
transform(Table...) - Method in class org.apache.flink.ml.feature.elementwiseproduct.ElementwiseProduct
transform(Table...) - Method in class org.apache.flink.ml.feature.featurehasher.FeatureHasher
transform(Table...) - Method in class org.apache.flink.ml.feature.hashingtf.HashingTF
transform(Table...) - Method in class org.apache.flink.ml.feature.idf.IDFModel
transform(Table...) - Method in class org.apache.flink.ml.feature.imputer.ImputerModel
transform(Table...) - Method in class org.apache.flink.ml.feature.interaction.Interaction
transform(Table...) - Method in class org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerModel
transform(Table...) - Method in class org.apache.flink.ml.feature.maxabsscaler.MaxAbsScalerModel
transform(Table...) - Method in class org.apache.flink.ml.feature.minmaxscaler.MinMaxScalerModel
transform(Table...) - Method in class org.apache.flink.ml.feature.ngram.NGram
transform(Table...) - Method in class org.apache.flink.ml.feature.normalizer.Normalizer
transform(Table...) - Method in class org.apache.flink.ml.feature.onehotencoder.OneHotEncoderModel
transform(Table...) - Method in class org.apache.flink.ml.feature.polynomialexpansion.PolynomialExpansion
transform(Table...) - Method in class org.apache.flink.ml.feature.randomsplitter.RandomSplitter
transform(Table...) - Method in class org.apache.flink.ml.feature.regextokenizer.RegexTokenizer
transform(Table...) - Method in class org.apache.flink.ml.feature.robustscaler.RobustScalerModel
transform(Table...) - Method in class org.apache.flink.ml.feature.sqltransformer.SQLTransformer
transform(Table...) - Method in class org.apache.flink.ml.feature.standardscaler.OnlineStandardScalerModel
transform(Table...) - Method in class org.apache.flink.ml.feature.standardscaler.StandardScalerModel
transform(Table...) - Method in class org.apache.flink.ml.feature.stopwordsremover.StopWordsRemover
transform(Table...) - Method in class org.apache.flink.ml.feature.stringindexer.IndexToStringModel
transform(Table...) - Method in class org.apache.flink.ml.feature.stringindexer.StringIndexerModel
transform(Table...) - Method in class org.apache.flink.ml.feature.tokenizer.Tokenizer
transform(Table...) - Method in class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModel
transform(Table...) - Method in class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModel
transform(Table...) - Method in class org.apache.flink.ml.feature.vectorassembler.VectorAssembler
transform(Table...) - Method in class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModel
transform(Table...) - Method in class org.apache.flink.ml.feature.vectorslicer.VectorSlicer
transform(Table...) - Method in class org.apache.flink.ml.recommendation.swing.Swing
transform(Table...) - Method in class org.apache.flink.ml.regression.linearregression.LinearRegressionModel
transform(DataFrame) - Method in interface org.apache.flink.ml.servable.api.TransformerServable: Applies the TransformerServable on the given input DataFrame and returns the result DataFrame.
transform(DataFrame) - Method in class org.apache.flink.ml.servable.builder.PipelineModelServable
transform(Table...) - Method in class org.apache.flink.ml.stats.anovatest.ANOVATest
transform(Table...) - Method in class org.apache.flink.ml.stats.chisqtest.ChiSqTest
transform(Table...) - Method in class org.apache.flink.ml.stats.fvaluetest.FValueTest
Transformer<T extends Transformer<T>> - Interface in org.apache.flink.ml.api: A Transformer is an AlgoOperator with the semantic difference that it encodes the Transformation logic, such that a record in the output typically corresponds to one record in the input.
TransformerServable<T extends TransformerServable<T>> - Interface in org.apache.flink.ml.servable.api: A TransformerServable takes a DataFrame as input and produces a DataFrame as the result.
translate(TF, OperatorWrapper<?, ?>, DraftTransformationTranslator.Context) - Method in interface org.apache.flink.iteration.compile.DraftTransformationTranslator
translate(BroadcastStateTransformation<?, ?, ?>, OperatorWrapper<?, ?>, DraftTransformationTranslator.Context) - Method in class org.apache.flink.iteration.compile.translator.BroadcastStateTransformationTranslator
translate(KeyedBroadcastStateTransformation<?, ?, ?, ?>, OperatorWrapper<?, ?>, DraftTransformationTranslator.Context) - Method in class org.apache.flink.iteration.compile.translator.KeyedBroadcastStateTransformationTranslator
translate(KeyedMultipleInputTransformation<?>, OperatorWrapper<?, ?>, DraftTransformationTranslator.Context) - Method in class org.apache.flink.iteration.compile.translator.KeyedMultipleInputTransformationTranslator
translate(MultipleInputTransformation<?>, OperatorWrapper<?, ?>, DraftTransformationTranslator.Context) - Method in class org.apache.flink.iteration.compile.translator.MultipleInputTransformationTranslator
translate(OneInputTransformation<?, ?>, OperatorWrapper<?, ?>, DraftTransformationTranslator.Context) - Method in class org.apache.flink.iteration.compile.translator.OneInputTransformationTranslator
translate(PartitionTransformation<?>, OperatorWrapper<?, ?>, DraftTransformationTranslator.Context) - Method in class org.apache.flink.iteration.compile.translator.PartitionTransformationTranslator
translate(ReduceTransformation<?, ?>, OperatorWrapper<?, ?>, DraftTransformationTranslator.Context) - Method in class org.apache.flink.iteration.compile.translator.ReduceTransformationTranslator
translate(SideOutputTransformation<?>, OperatorWrapper<?, ?>, DraftTransformationTranslator.Context) - Method in class org.apache.flink.iteration.compile.translator.SideOutputTransformationTranslator
translate(TwoInputTransformation<?, ?, ?>, OperatorWrapper<?, ?>, DraftTransformationTranslator.Context) - Method in class org.apache.flink.iteration.compile.translator.TwoInputTransformationTranslator
translate(UnionTransformation<?>, OperatorWrapper<?, ?>, DraftTransformationTranslator.Context) - Method in class org.apache.flink.iteration.compile.translator.UnionTransformationTranslator
tryReadSegmentsToMemory(TypeSerializer<T>, MemorySegmentPool) - Method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheSnapshot: Attempts to cache the segments in memory.
TwoInputAllRoundWrapperOperator<IN1,IN2,OUT> - Class in org.apache.flink.iteration.operator.allround: All-round wrapper for the two-inputs operator.
TwoInputAllRoundWrapperOperator(StreamOperatorParameters<IterationRecord<OUT>>, StreamOperatorFactory<OUT>) - Constructor for class org.apache.flink.iteration.operator.allround.TwoInputAllRoundWrapperOperator
TwoInputBroadcastWrapperOperator<IN1,IN2,OUT> - Class in org.apache.flink.ml.common.broadcast.operator: Wrapper for TwoInputStreamOperator.
TwoInputPerRoundWrapperOperator<IN1,IN2,OUT> - Class in org.apache.flink.iteration.operator.perround: Per-round wrapper for the two-inputs operator.
TwoInputPerRoundWrapperOperator(StreamOperatorParameters<IterationRecord<OUT>>, StreamOperatorFactory<OUT>) - Constructor for class org.apache.flink.iteration.operator.perround.TwoInputPerRoundWrapperOperator
TwoInputTransformationTranslator - Class in org.apache.flink.iteration.compile.translator: Draft translator for the TwoInputTransformation.
TwoInputTransformationTranslator() - Constructor for class org.apache.flink.iteration.compile.translator.TwoInputTransformationTranslator
TYPE_INFO - Static variable in class org.apache.flink.iteration.operator.headprocessor.HeadOperatorState
TYPE_INFO - Static variable in class org.apache.flink.ml.classification.naivebayes.NaiveBayesModelData
TYPE_INFO - Static variable in class org.apache.flink.ml.feature.imputer.ImputerModelData
TYPE_INFO - Static variable in class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModelData

U

UNIFORM - Static variable in interface org.apache.flink.ml.feature.kbinsdiscretizer.KBinsDiscretizerParams
UnionTransformationTranslator - Class in org.apache.flink.iteration.compile.translator: Draft translator for the UnionTransformation.
UnionTransformationTranslator() - Constructor for class org.apache.flink.iteration.compile.translator.UnionTransformationTranslator
uniqueSenderId - Variable in class org.apache.flink.iteration.operator.AbstractWrapperOperator
UnivariateFeatureSelector - Class in org.apache.flink.ml.feature.univariatefeatureselector: An Estimator which selects features based on univariate statistical tests against labels.
UnivariateFeatureSelector() - Constructor for class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelector
UnivariateFeatureSelectorExample - Class in org.apache.flink.ml.examples.feature: Simple program that trains a UnivariateFeatureSelector model and uses it for feature selection.
UnivariateFeatureSelectorExample() - Constructor for class org.apache.flink.ml.examples.feature.UnivariateFeatureSelectorExample
UnivariateFeatureSelectorModel - Class in org.apache.flink.ml.feature.univariatefeatureselector: A Model which transforms data using the model data computed by UnivariateFeatureSelector.
UnivariateFeatureSelectorModel() - Constructor for class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModel
UnivariateFeatureSelectorModelData - Class in org.apache.flink.ml.feature.univariatefeatureselector: Model data of UnivariateFeatureSelectorModel.
UnivariateFeatureSelectorModelData() - Constructor for class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModelData
UnivariateFeatureSelectorModelData(int[]) - Constructor for class org.apache.flink.ml.feature.univariatefeatureselector.UnivariateFeatureSelectorModelData
UnivariateFeatureSelectorModelData.ModelDataDecoder - Class in org.apache.flink.ml.feature.univariatefeatureselector: Decoder for UnivariateFeatureSelectorModelData.
UnivariateFeatureSelectorModelData.ModelDataEncoder - Class in org.apache.flink.ml.feature.univariatefeatureselector: Encoder for UnivariateFeatureSelectorModelData.
UnivariateFeatureSelectorModelParams<T> - Interface in org.apache.flink.ml.feature.univariatefeatureselector: Params for UnivariateFeatureSelectorModel.
UnivariateFeatureSelectorParams<T> - Interface in org.apache.flink.ml.feature.univariatefeatureselector: Params for UnivariateFeatureSelector.
unregisterListener(OperatorID) - Method in class org.apache.flink.iteration.operator.coordinator.SharedProgressAligner
update(List<T>) - Method in class org.apache.flink.iteration.datacache.nonkeyed.ListStateWithCache
updateEpochToCoordinator(int, long) - Method in interface org.apache.flink.iteration.operator.headprocessor.HeadOperatorRecordProcessor.Context
updateExistingParams(WithParams<?>, Map<Param<?>, Object>) - Static method in class org.apache.flink.ml.util.ParamUtils
UPPER - Static variable in interface org.apache.flink.ml.feature.robustscaler.RobustScalerParams
USER_COL - Static variable in interface org.apache.flink.ml.recommendation.swing.SwingParams

V

validate(Double[][]) - Method in class org.apache.flink.ml.feature.bucketizer.BucketizerParams.SplitsArrayValidator
validate(String) - Method in class org.apache.flink.ml.feature.sqltransformer.SQLTransformerParams.SQLStatementValidator
validate(T) - Method in interface org.apache.flink.ml.param.ParamValidator: Validate whether the parameter value is valid.
validator - Variable in class org.apache.flink.ml.param.Param
value - Variable in class org.apache.flink.ml.common.util.QuantileSummary.StatsTuple
valueOf(String) - Static method in enum org.apache.flink.iteration.IterationConfig.OperatorLifeCycle: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.flink.iteration.IterationRecord.Type: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.flink.ml.builder.GraphNode.StageType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.flink.ml.common.broadcast.typeinfo.CacheElement.Type: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.flink.ml.servable.types.BasicType: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.apache.flink.iteration.IterationConfig.OperatorLifeCycle: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.flink.iteration.IterationRecord.Type: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.flink.ml.builder.GraphNode.StageType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.flink.ml.common.broadcast.typeinfo.CacheElement.Type: Returns an array containing the constants of this enum type, in the order they are declared.
values - Variable in class org.apache.flink.ml.linalg.DenseMatrix: Array for internal storage of elements.
values - Variable in class org.apache.flink.ml.linalg.DenseVector
values - Variable in class org.apache.flink.ml.linalg.SparseVector
values() - Static method in enum org.apache.flink.ml.servable.types.BasicType: Returns an array containing the constants of this enum type, in the order they are declared.
VariableLengthByteKeyComparator<IN> - Class in org.apache.flink.ml.common.datastream.sort: A comparator used in SortingDataInput which compares records keys and timestamps,.
VariableLengthByteKeyComparator() - Constructor for class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator
VARIANCE_THRESHOLD - Static variable in interface org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorParams
VarianceThresholdSelector - Class in org.apache.flink.ml.feature.variancethresholdselector: An Estimator which implements the VarianceThresholdSelector algorithm.
VarianceThresholdSelector() - Constructor for class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelector
VarianceThresholdSelectorExample - Class in org.apache.flink.ml.examples.feature: Simple program that trains a VarianceThresholdSelector model and uses it for feature selection.
VarianceThresholdSelectorExample() - Constructor for class org.apache.flink.ml.examples.feature.VarianceThresholdSelectorExample
VarianceThresholdSelectorModel - Class in org.apache.flink.ml.feature.variancethresholdselector: A Model which removes low-variance data using the model data computed by VarianceThresholdSelector.
VarianceThresholdSelectorModel() - Constructor for class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModel
VarianceThresholdSelectorModelData - Class in org.apache.flink.ml.feature.variancethresholdselector: Model data of VarianceThresholdSelectorModel.
VarianceThresholdSelectorModelData() - Constructor for class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModelData
VarianceThresholdSelectorModelData(int, int[]) - Constructor for class org.apache.flink.ml.feature.variancethresholdselector.VarianceThresholdSelectorModelData
VarianceThresholdSelectorModelData.ModelDataDecoder - Class in org.apache.flink.ml.feature.variancethresholdselector: Decoder for VarianceThresholdSelectorModelData.
VarianceThresholdSelectorModelData.ModelDataEncoder - Class in org.apache.flink.ml.feature.variancethresholdselector: Encoder for VarianceThresholdSelectorModelData.
VarianceThresholdSelectorModelParams<T> - Interface in org.apache.flink.ml.feature.variancethresholdselector: Params for VarianceThresholdSelectorModel.
VarianceThresholdSelectorParams<T> - Interface in org.apache.flink.ml.feature.variancethresholdselector: Params of VarianceThresholdSelectorModel.
Vector - Interface in org.apache.flink.ml.linalg: A vector of double values.
vector - Variable in class org.apache.flink.ml.linalg.VectorWithNorm
VECTOR(BasicType) - Static method in class org.apache.flink.ml.servable.types.DataTypes
VECTOR_DIM - Static variable in interface org.apache.flink.ml.benchmark.datagenerator.param.HasVectorDim
VectorAssembler - Class in org.apache.flink.ml.feature.vectorassembler: A Transformer which combines a given list of input columns into a vector column.
VectorAssembler() - Constructor for class org.apache.flink.ml.feature.vectorassembler.VectorAssembler
VectorAssemblerExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a VectorAssembler instance and uses it for feature engineering.
VectorAssemblerExample() - Constructor for class org.apache.flink.ml.examples.feature.VectorAssemblerExample
VectorAssemblerParams<T> - Interface in org.apache.flink.ml.feature.vectorassembler: Params of VectorAssembler.
VectorIndexer - Class in org.apache.flink.ml.feature.vectorindexer: An Estimator which implements the vector indexing algorithm.
VectorIndexer() - Constructor for class org.apache.flink.ml.feature.vectorindexer.VectorIndexer
VectorIndexerExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a VectorIndexer instance and uses it for feature engineering.
VectorIndexerExample() - Constructor for class org.apache.flink.ml.examples.feature.VectorIndexerExample
VectorIndexerModel - Class in org.apache.flink.ml.feature.vectorindexer: A Model which encodes input vector to an output vector using the model data computed by VectorIndexer.
VectorIndexerModel() - Constructor for class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModel
VectorIndexerModelData - Class in org.apache.flink.ml.feature.vectorindexer: Model data of VectorIndexerModel.
VectorIndexerModelData(Map<Integer, Map<Double, Integer>>) - Constructor for class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModelData
VectorIndexerModelData() - Constructor for class org.apache.flink.ml.feature.vectorindexer.VectorIndexerModelData
VectorIndexerModelData.ModelDataDecoder - Class in org.apache.flink.ml.feature.vectorindexer: Data decoder for VectorIndexerModel.
VectorIndexerModelData.ModelDataEncoder - Class in org.apache.flink.ml.feature.vectorindexer: Data encoder for VectorIndexerModel.
VectorIndexerModelParams<T> - Interface in org.apache.flink.ml.feature.vectorindexer: Params for VectorIndexerModel.
VectorIndexerParams<T> - Interface in org.apache.flink.ml.feature.vectorindexer: Params of VectorIndexer.
VectorParam - Class in org.apache.flink.ml.param: Class for the Vector parameter.
VectorParam(String, String, Vector, ParamValidator<Vector>) - Constructor for class org.apache.flink.ml.param.VectorParam
VectorParam(String, String, Vector) - Constructor for class org.apache.flink.ml.param.VectorParam
Vectors - Class in org.apache.flink.ml.linalg: Utility methods for instantiating Vector.
Vectors() - Constructor for class org.apache.flink.ml.linalg.Vectors
VectorSerializer - Class in org.apache.flink.ml.linalg.typeinfo: Specialized serializer for Vector.
VectorSerializer() - Constructor for class org.apache.flink.ml.linalg.typeinfo.VectorSerializer
VectorSerializer.VectorSerializerSnapshot - Class in org.apache.flink.ml.linalg.typeinfo: Serializer configuration snapshot for compatibility and format evolution.
VectorSerializerSnapshot() - Constructor for class org.apache.flink.ml.linalg.typeinfo.VectorSerializer.VectorSerializerSnapshot
VectorSlicer - Class in org.apache.flink.ml.feature.vectorslicer: A Transformer that transforms a vector to a new feature, which is a sub-array of the original feature.
VectorSlicer() - Constructor for class org.apache.flink.ml.feature.vectorslicer.VectorSlicer
VectorSlicerExample - Class in org.apache.flink.ml.examples.feature: Simple program that creates a VectorSlicer instance and uses it for feature engineering.
VectorSlicerExample() - Constructor for class org.apache.flink.ml.examples.feature.VectorSlicerExample
VectorSlicerParams<T> - Interface in org.apache.flink.ml.feature.vectorslicer: Params of VectorSlicer.
vectorToArray(Object...) - Static method in class org.apache.flink.ml.Functions: Converts a column of Vectors into a column of double arrays.
VectorToArrayExample - Class in org.apache.flink.ml.examples: Simple program that converts a column of dense/sparse vectors into a column of double arrays.
VectorToArrayExample() - Constructor for class org.apache.flink.ml.examples.VectorToArrayExample
VectorToArrayFunction() - Constructor for class org.apache.flink.ml.Functions.VectorToArrayFunction
VectorType - Class in org.apache.flink.ml.servable.types: A DataType representing a Vector.
VectorType(BasicType) - Constructor for class org.apache.flink.ml.servable.types.VectorType
VectorTypeInfo - Class in org.apache.flink.ml.linalg.typeinfo: A TypeInformation for the Vector type.
VectorTypeInfo() - Constructor for class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfo
VectorTypeInfoFactory - Class in org.apache.flink.ml.linalg.typeinfo: Used by TypeExtractor to create a TypeInformation for Vector.
VectorTypeInfoFactory() - Constructor for class org.apache.flink.ml.linalg.typeinfo.VectorTypeInfoFactory
VectorUtils - Class in org.apache.flink.ml.common.util: Provides utility functions for Vector.
VectorUtils() - Constructor for class org.apache.flink.ml.common.util.VectorUtils
VectorWithNorm - Class in org.apache.flink.ml.linalg: A vector with its norm.
VectorWithNorm(Vector) - Constructor for class org.apache.flink.ml.linalg.VectorWithNorm
VectorWithNorm(Vector, double) - Constructor for class org.apache.flink.ml.linalg.VectorWithNorm
VectorWithNormSerializer - Class in org.apache.flink.ml.linalg.typeinfo: Specialized serializer for VectorWithNorm.
VectorWithNormSerializer() - Constructor for class org.apache.flink.ml.linalg.typeinfo.VectorWithNormSerializer
VectorWithNormTypeInfo - Class in org.apache.flink.ml.linalg.typeinfo: A TypeInformation for the VectorWithNorm type.
VectorWithNormTypeInfo() - Constructor for class org.apache.flink.ml.linalg.typeinfo.VectorWithNormTypeInfo
VectorWithNormTypeInfoFactory - Class in org.apache.flink.ml.linalg.typeinfo: Used by TypeExtractor to create a TypeInformation for VectorWithNorm.
VectorWithNormTypeInfoFactory() - Constructor for class org.apache.flink.ml.linalg.typeinfo.VectorWithNormTypeInfoFactory
VERSION - Static variable in class org.apache.flink.ml.common.metrics.MLMetrics
version - Variable in class org.apache.flink.ml.feature.standardscaler.StandardScalerModelData: Model version.
vocabulary - Variable in class org.apache.flink.ml.feature.countvectorizer.CountVectorizerModelData: The array over terms, only the terms in the vocabulary will be counted.
VOCABULARY_SIZE - Static variable in interface org.apache.flink.ml.feature.countvectorizer.CountVectorizerParams

W

WEIGHT_COL - Static variable in interface org.apache.flink.ml.common.param.HasWeightCol
weights - Variable in class org.apache.flink.ml.clustering.kmeans.KMeansModelData: The weight of the centroids.
WEIGHTS - Static variable in interface org.apache.flink.ml.feature.randomsplitter.RandomSplitterParams: Weights should be a non-empty array with all elements greater than zero.
weightsValidator() - Static method in interface org.apache.flink.ml.feature.randomsplitter.RandomSplitterParams
windowAllAndProcess(DataStream<IN>, Windows, ProcessAllWindowFunction<IN, OUT, W>) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: Creates windows from data in the non key grouped input stream and applies the given window function to each window.
windowAllAndProcess(DataStream<IN>, Windows, ProcessAllWindowFunction<IN, OUT, W>, TypeInformation<OUT>) - Static method in class org.apache.flink.ml.common.datastream.DataStreamUtils: Creates windows from data in the non key grouped input stream and applies the given window function to each window.
WINDOWS - Static variable in interface org.apache.flink.ml.common.param.HasWindows
Windows - Interface in org.apache.flink.ml.common.window: Windowing strategy that determines how to create mini-batches from input data.
WindowsParam - Class in org.apache.flink.ml.param: Class for the Windows parameter.
WindowsParam(String, String, Windows, ParamValidator<Windows>) - Constructor for class org.apache.flink.ml.param.WindowsParam
WITH_CENTERING - Static variable in interface org.apache.flink.ml.feature.robustscaler.RobustScalerModelParams
WITH_MEAN - Static variable in interface org.apache.flink.ml.feature.standardscaler.StandardScalerParams
WITH_SCALING - Static variable in interface org.apache.flink.ml.feature.robustscaler.RobustScalerModelParams
WITH_STD - Static variable in interface org.apache.flink.ml.feature.standardscaler.StandardScalerParams
withBroadcastStream(List<DataStream<?>>, Map<String, DataStream<?>>, Function<List<DataStream<?>>, DataStream<OUT>>) - Static method in class org.apache.flink.ml.common.broadcast.BroadcastUtils: Supports withBroadcastStream in DataStream API.
withGap(Time) - Static method in class org.apache.flink.ml.common.window.EventTimeSessionWindows: Creates a new EventTimeSessionWindows.
withGap(Time) - Static method in class org.apache.flink.ml.common.window.ProcessingTimeSessionWindows: Creates a new ProcessingTimeSessionWindows.
WithParams<T> - Interface in org.apache.flink.ml.param: Interface for classes that take parameters.
wrap(StreamOperatorParameters<IterationRecord<T>>, StreamOperatorFactory<T>) - Method in class org.apache.flink.iteration.operator.allround.AllRoundOperatorWrapper
wrap(StreamOperatorParameters<R>, StreamOperatorFactory<T>) - Method in interface org.apache.flink.iteration.operator.OperatorWrapper
wrap(StreamOperatorParameters<IterationRecord<T>>, StreamOperatorFactory<T>) - Method in class org.apache.flink.iteration.operator.perround.PerRoundOperatorWrapper
wrap(StreamOperatorParameters<T>, StreamOperatorFactory<T>) - Method in class org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper
wrapKeySelector(KeySelector<T, KEY>) - Method in class org.apache.flink.iteration.operator.allround.AllRoundOperatorWrapper
wrapKeySelector(KeySelector<T, KEY>) - Method in interface org.apache.flink.iteration.operator.OperatorWrapper
wrapKeySelector(KeySelector<T, KEY>) - Method in class org.apache.flink.iteration.operator.perround.PerRoundOperatorWrapper
wrapKeySelector(KeySelector<T, KEY>) - Method in class org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper
wrapOutputTag(OutputTag<T>) - Method in class org.apache.flink.iteration.operator.allround.AllRoundOperatorWrapper
wrapOutputTag(OutputTag<T>) - Method in interface org.apache.flink.iteration.operator.OperatorWrapper
wrapOutputTag(OutputTag<T>) - Method in class org.apache.flink.iteration.operator.perround.PerRoundOperatorWrapper
wrapOutputTag(OutputTag<T>) - Method in class org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper
wrappedOperator - Variable in class org.apache.flink.iteration.operator.allround.AbstractAllRoundWrapperOperator
wrappedOperator - Variable in class org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
WrapperOperatorFactory<OUT> - Class in org.apache.flink.iteration.operator: The factory to create the subclass of AbstractWrapperOperator.
WrapperOperatorFactory(StreamOperatorFactory<OUT>, OperatorWrapper<OUT, IterationRecord<OUT>>) - Constructor for class org.apache.flink.iteration.operator.WrapperOperatorFactory
wrapStreamPartitioner(StreamPartitioner<T>) - Method in class org.apache.flink.iteration.operator.allround.AllRoundOperatorWrapper
wrapStreamPartitioner(StreamPartitioner<T>) - Method in interface org.apache.flink.iteration.operator.OperatorWrapper
wrapStreamPartitioner(StreamPartitioner<T>) - Method in class org.apache.flink.iteration.operator.perround.PerRoundOperatorWrapper
wrapStreamPartitioner(StreamPartitioner<T>) - Method in class org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper
writeSegmentsToFiles() - Method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheWriter: Write the segments in this writer to files on disk.
writeTo(OutputStream) - Method in class org.apache.flink.iteration.datacache.nonkeyed.DataCacheSnapshot: Writes the information about this data cache to an output stream.
writeWithKeyNormalization(Tuple2<byte[], StreamRecord<IN>>, DataOutputView) - Method in class org.apache.flink.ml.common.datastream.sort.FixedLengthByteKeyComparator
writeWithKeyNormalization(Tuple2<byte[], StreamRecord<IN>>, DataOutputView) - Method in class org.apache.flink.ml.common.datastream.sort.VariableLengthByteKeyComparator

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