Modifier and Type | Field and Description |
---|---|
static Param<String[][]> |
InputDataGenerator.COL_NAMES |
static Param<Long> |
InputDataGenerator.NUM_VALUES |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
KMeansModelDataGenerator.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Integer> |
DoubleGenerator.ARITY |
static Param<Integer> |
LabeledPointWithWeightGenerator.FEATURE_ARITY |
static Param<Integer> |
LabeledPointWithWeightGenerator.LABEL_ARITY |
Modifier and Type | Field and Description |
---|---|
protected Map<Param<?>,Object> |
InputTableGenerator.paramMap |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
InputTableGenerator.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Integer> |
HasArraySize.ARRAY_SIZE |
static Param<Integer> |
HasNumDistinctValues.NUM_DISTINCT_VALUES |
static Param<Integer> |
HasVectorDim.VECTOR_DIM |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
GraphModel.getParamMap() |
Map<Param<?>,Object> |
Graph.getParamMap() |
Map<Param<?>,Object> |
PipelineModel.getParamMap() |
Map<Param<?>,Object> |
Pipeline.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Integer> |
KnnModelParams.K |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
KnnModel.getParamMap() |
Map<Param<?>,Object> |
Knn.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Double> |
LinearSVCModelParams.THRESHOLD
Param for threshold in linear support vector classifier.
|
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
LinearSVCModel.getParamMap() |
Map<Param<?>,Object> |
LinearSVC.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Double> |
OnlineLogisticRegressionParams.ALPHA |
static Param<Double> |
OnlineLogisticRegressionParams.BETA |
static Param<String> |
OnlineLogisticRegressionModelParams.MODEL_VERSION_COL |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
LogisticRegressionModel.getParamMap() |
Map<Param<?>,Object> |
LogisticRegression.getParamMap() |
Map<Param<?>,Object> |
OnlineLogisticRegression.getParamMap() |
Map<Param<?>,Object> |
OnlineLogisticRegressionModel.getParamMap() |
Map<Param<?>,Object> |
LogisticRegressionModelServable.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<String> |
NaiveBayesModelParams.MODEL_TYPE |
static Param<Double> |
NaiveBayesParams.SMOOTHING |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
NaiveBayesModel.getParamMap() |
Map<Param<?>,Object> |
NaiveBayes.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Boolean> |
AgglomerativeClusteringParams.COMPUTE_FULL_TREE |
static Param<Double> |
AgglomerativeClusteringParams.DISTANCE_THRESHOLD |
static Param<String> |
AgglomerativeClusteringParams.LINKAGE
Supported options to compute the distance between two clusters.
|
static Param<Integer> |
AgglomerativeClusteringParams.NUM_CLUSTERS |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
AgglomerativeClustering.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<String> |
KMeansParams.INIT_MODE |
static Param<Integer> |
KMeansModelParams.K |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
KMeansModel.getParamMap() |
Map<Param<?>,Object> |
OnlineKMeansModel.getParamMap() |
Map<Param<?>,Object> |
KMeans.getParamMap() |
Map<Param<?>,Object> |
OnlineKMeans.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<String> |
HasBatchStrategy.BATCH_STRATEGY |
static Param<String[]> |
HasCategoricalCols.CATEGORICAL_COLS |
static Param<Double> |
HasDecayFactor.DECAY_FACTOR |
static Param<String> |
HasDistanceMeasure.DISTANCE_MEASURE |
static Param<Double> |
HasElasticNet.ELASTIC_NET |
static Param<String> |
HasFeaturesCol.FEATURES_COL |
static Param<Boolean> |
HasFlatten.FLATTEN |
static Param<Integer> |
HasGlobalBatchSize.GLOBAL_BATCH_SIZE |
static Param<String> |
HasHandleInvalid.HANDLE_INVALID |
static Param<String> |
HasInputCol.INPUT_COL |
static Param<String[]> |
HasInputCols.INPUT_COLS |
static Param<String> |
HasLabelCol.LABEL_COL |
static Param<Double> |
HasLearningRate.LEARNING_RATE |
static Param<Long> |
HasMaxAllowedModelDelayMs.MAX_ALLOWED_MODEL_DELAY_MS |
static Param<Integer> |
HasMaxIter.MAX_ITER |
static Param<String> |
HasModelVersionCol.MODEL_VERSION_COL |
static Param<String> |
HasMultiClass.MULTI_CLASS |
static Param<Integer> |
HasNumFeatures.NUM_FEATURES |
static Param<String> |
HasOutputCol.OUTPUT_COL |
static Param<String[]> |
HasOutputCols.OUTPUT_COLS |
static Param<String> |
HasPredictionCol.PREDICTION_COL |
static Param<String> |
HasRawPredictionCol.RAW_PREDICTION_COL |
static Param<Double> |
HasReg.REG |
static Param<Double> |
HasRelativeError.RELATIVE_ERROR |
static Param<Long> |
HasSeed.SEED |
static Param<Double> |
HasTol.TOL |
static Param<String> |
HasWeightCol.WEIGHT_COL |
static Param<Windows> |
HasWindows.WINDOWS |
Modifier and Type | Field and Description |
---|---|
static Param<String[]> |
BinaryClassificationEvaluatorParams.METRICS_NAMES
Param for supported metric names in binary classification evaluation (supports
'areaUnderROC', 'areaUnderPR', 'ks' and 'areaUnderLorenz').
|
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
BinaryClassificationEvaluator.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Double[]> |
BinarizerParams.THRESHOLDS |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
Binarizer.getParamMap() |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
Bucketizer.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Boolean> |
CountVectorizerModelParams.BINARY |
static Param<Double> |
CountVectorizerParams.MAX_DF |
static Param<Double> |
CountVectorizerParams.MIN_DF |
static Param<Double> |
CountVectorizerModelParams.MIN_TF |
static Param<Integer> |
CountVectorizerParams.VOCABULARY_SIZE |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
CountVectorizerModel.getParamMap() |
Map<Param<?>,Object> |
CountVectorizer.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Boolean> |
DCTParams.INVERSE |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
DCT.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Vector> |
ElementwiseProductParams.SCALING_VEC |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
ElementwiseProduct.getParamMap() |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
FeatureHasher.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Boolean> |
HashingTFParams.BINARY
Supported options to decide whether each dimension of the output vector is binary or not.
|
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
HashingTF.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Integer> |
IDFParams.MIN_DOC_FREQ |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
IDF.getParamMap() |
Map<Param<?>,Object> |
IDFModel.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Double> |
ImputerModelParams.MISSING_VALUE |
static Param<String> |
ImputerParams.STRATEGY
Supported options of the imputation strategy.
|
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
ImputerModel.getParamMap() |
Map<Param<?>,Object> |
Imputer.getParamMap() |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
Interaction.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Integer> |
KBinsDiscretizerParams.NUM_BINS |
static Param<String> |
KBinsDiscretizerParams.STRATEGY
Supported options to define the widths of the bins are listed as follows.
|
static Param<Integer> |
KBinsDiscretizerParams.SUB_SAMPLES |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
KBinsDiscretizerModel.getParamMap() |
Map<Param<?>,Object> |
KBinsDiscretizer.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Integer> |
LSHParams.NUM_HASH_FUNCTIONS_PER_TABLE
Param for the number of hash functions per hash table used in LSH AND-amplification.
|
static Param<Integer> |
LSHParams.NUM_HASH_TABLES
Param for the number of hash tables used in LSH OR-amplification.
|
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
MaxAbsScaler.getParamMap() |
Map<Param<?>,Object> |
MaxAbsScalerModel.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Double> |
MinMaxScalerParams.MAX |
static Param<Double> |
MinMaxScalerParams.MIN |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
MinMaxScaler.getParamMap() |
Map<Param<?>,Object> |
MinMaxScalerModel.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Integer> |
NGramParams.N |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
NGram.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Double> |
NormalizerParams.P |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
Normalizer.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Boolean> |
OneHotEncoderParams.DROP_LAST |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
OneHotEncoder.getParamMap() |
Map<Param<?>,Object> |
OneHotEncoderModel.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Integer> |
PolynomialExpansionParams.DEGREE |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
PolynomialExpansion.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Double[]> |
RandomSplitterParams.WEIGHTS
Weights should be a non-empty array with all elements greater than zero.
|
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
RandomSplitter.getParamMap() |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
RegexTokenizer.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Double> |
RobustScalerParams.LOWER |
static Param<Double> |
RobustScalerParams.UPPER |
static Param<Boolean> |
RobustScalerModelParams.WITH_CENTERING |
static Param<Boolean> |
RobustScalerModelParams.WITH_SCALING |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
RobustScaler.getParamMap() |
Map<Param<?>,Object> |
RobustScalerModel.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<String> |
SQLTransformerParams.STATEMENT |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
SQLTransformer.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Boolean> |
StandardScalerParams.WITH_MEAN |
static Param<Boolean> |
StandardScalerParams.WITH_STD |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
StandardScalerModel.getParamMap() |
Map<Param<?>,Object> |
OnlineStandardScalerModel.getParamMap() |
Map<Param<?>,Object> |
StandardScaler.getParamMap() |
Map<Param<?>,Object> |
OnlineStandardScaler.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Boolean> |
StopWordsRemoverParams.CASE_SENSITIVE |
static Param<String> |
StopWordsRemoverParams.LOCALE |
static Param<String[]> |
StopWordsRemoverParams.STOP_WORDS |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
StopWordsRemover.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Integer> |
StringIndexerParams.MAX_INDEX_NUM |
static Param<String> |
StringIndexerParams.STRING_ORDER_TYPE
Supported options to decide the order of strings in each column are listed as follows.
|
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
StringIndexer.getParamMap() |
Map<Param<?>,Object> |
StringIndexerModel.getParamMap() |
Map<Param<?>,Object> |
IndexToStringModel.getParamMap() |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
Tokenizer.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<String> |
UnivariateFeatureSelectorParams.FEATURE_TYPE
Supported options of the feature type.
|
static Param<String> |
UnivariateFeatureSelectorParams.LABEL_TYPE
Supported options of the label type.
|
static Param<String> |
UnivariateFeatureSelectorParams.SELECTION_MODE
Supported options of the feature selection mode.
|
static Param<Double> |
UnivariateFeatureSelectorParams.SELECTION_THRESHOLD |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
UnivariateFeatureSelectorModel.getParamMap() |
Map<Param<?>,Object> |
UnivariateFeatureSelector.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Double> |
VarianceThresholdSelectorParams.VARIANCE_THRESHOLD |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
VarianceThresholdSelector.getParamMap() |
Map<Param<?>,Object> |
VarianceThresholdSelectorModel.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Integer[]> |
VectorAssemblerParams.INPUT_SIZES |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
VectorAssembler.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Integer> |
VectorIndexerParams.MAX_CATEGORIES |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
VectorIndexer.getParamMap() |
Map<Param<?>,Object> |
VectorIndexerModel.getParamMap() |
Modifier and Type | Field and Description |
---|---|
static Param<Integer[]> |
VectorSlicerParams.INDICES |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
VectorSlicer.getParamMap() |
Modifier and Type | Class and Description |
---|---|
class |
ArrayArrayParam<T>
Class for the array parameter.
|
class |
ArrayParam<T>
Class for the array parameter.
|
class |
BooleanParam
Class for the boolean parameter.
|
class |
DoubleArrayArrayParam
Class for the array of double array parameter.
|
class |
DoubleArrayParam
Class for the double array parameter.
|
class |
DoubleParam
Class for the double parameter.
|
class |
FloatArrayParam
Class for the float array parameter.
|
class |
FloatParam
Class for the float parameter.
|
class |
IntArrayParam
Class for the integer array parameter.
|
class |
IntParam
Class for the integer parameter.
|
class |
LongArrayParam
Class for the long array parameter.
|
class |
LongParam
Class for the long parameter.
|
class |
StringArrayArrayParam
Class for the array of string array parameter.
|
class |
StringArrayParam
Class for the string array parameter.
|
class |
StringParam
Class for the string parameter.
|
class |
VectorParam
Class for the Vector parameter.
|
class |
WindowsParam
Class for the
Windows parameter. |
Modifier and Type | Method and Description |
---|---|
default <V> Param<V> |
WithParams.getParam(String name)
Gets the parameter by its name.
|
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
WithParams.getParamMap()
Returns a map which should contain value for every parameter that meets one of the following
conditions.
|
Modifier and Type | Method and Description |
---|---|
default <V> V |
WithParams.get(Param<V> param)
Gets the value of the parameter.
|
default <V> T |
WithParams.set(Param<V> param,
V value)
Sets the value of the parameter.
|
Modifier and Type | Field and Description |
---|---|
static Param<Integer> |
SwingParams.ALPHA1 |
static Param<Integer> |
SwingParams.ALPHA2 |
static Param<Double> |
SwingParams.BETA |
static Param<String> |
SwingParams.ITEM_COL |
static Param<Integer> |
SwingParams.K |
static Param<Integer> |
SwingParams.MAX_USER_BEHAVIOR |
static Param<Integer> |
SwingParams.MAX_USER_NUM_PER_ITEM |
static Param<Integer> |
SwingParams.MIN_USER_BEHAVIOR |
static Param<String> |
SwingParams.USER_COL |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
Swing.getParamMap() |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
LinearRegressionModel.getParamMap() |
Map<Param<?>,Object> |
LinearRegression.getParamMap() |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
PipelineModelServable.getParamMap() |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
ANOVATest.getParamMap() |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
ChiSqTest.getParamMap() |
Modifier and Type | Method and Description |
---|---|
Map<Param<?>,Object> |
FValueTest.getParamMap() |
Modifier and Type | Method and Description |
---|---|
static List<Param<?>> |
ParamUtils.getPublicFinalParamFields(Object object)
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.
|
Modifier and Type | Method and Description |
---|---|
static <T> void |
ParamUtils.setParam(WithParams<?> instance,
Param<T> param,
Object value) |
Modifier and Type | Method and Description |
---|---|
static void |
ParamUtils.initializeMapWithDefaultValues(Map<Param<?>,Object> paramMap,
WithParams<?> instance)
Updates the paramMap with default values of all public final Param-typed fields of the given
instance.
|
static void |
ParamUtils.updateExistingParams(WithParams<?> instance,
Map<Param<?>,Object> paramOverrides) |
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