Package | Description |
---|---|
org.apache.flink.ml.common | |
org.apache.flink.ml.pipeline | |
org.apache.flink.ml.preprocessing | |
org.apache.flink.ml.recommendation |
Modifier and Type | Method and Description |
---|---|
<T> ParameterMap |
ParameterMap.add(Parameter<T> parameter,
T value)
Adds a new parameter value to the ParameterMap.
|
ParameterMap |
ParameterMap$.apply() |
static ParameterMap |
ParameterMap.Empty() |
ParameterMap |
ParameterMap$.Empty() |
ParameterMap |
WithParameters.parameters() |
Modifier and Type | Method and Description |
---|---|
<Testing,PredictionValue> |
Predictor.evaluate(DataSet<Testing> testing,
ParameterMap evaluateParameters,
EvaluateDataSetOperation<Self,Testing,PredictionValue> evaluator)
Evaluates the testing data by computing the prediction value and returning a pair of true
label value and prediction value.
|
DataSet<scala.Tuple2<Prediction,Prediction>> |
EvaluateDataSetOperation.evaluateDataSet(Instance instance,
ParameterMap evaluateParameters,
DataSet<Testing> testing) |
<Training> void |
Estimator.fit(DataSet<Training> training,
ParameterMap fitParameters,
FitOperation<Self,Training> fitOperation)
Fits the estimator to the given input data.
|
void |
FitOperation.fit(Self instance,
ParameterMap fitParameters,
DataSet<Training> input) |
DataSet<Model> |
TransformOperation.getModel(Instance instance,
ParameterMap transformParemters)
Retrieves the model of the
Transformer for which this operation has been defined. |
DataSet<Model> |
PredictOperation.getModel(Instance instance,
ParameterMap predictParameters)
Defines how to retrieve the model of the type for which this operation was defined
|
<Testing,Prediction> |
Predictor.predict(DataSet<Testing> testing,
ParameterMap predictParameters,
PredictDataSetOperation<Self,Testing,Prediction> predictor)
Predict testing data according the learned model.
|
DataSet<Prediction> |
PredictDataSetOperation.predictDataSet(Self instance,
ParameterMap predictParameters,
DataSet<Testing> input)
Calculates the predictions for all elements in the
DataSet input |
<Input,Output> |
Transformer.transform(DataSet<Input> input,
ParameterMap transformParameters,
TransformDataSetOperation<Self,Input,Output> transformOperation)
Transform operation which transforms an input
DataSet of type I into an ouptut DataSet
of type O. |
DataSet<Output> |
TransformDataSetOperation.transformDataSet(Instance instance,
ParameterMap transformParameters,
DataSet<Input> input) |
Modifier and Type | Method and Description |
---|---|
DataSet<scala.Tuple2<breeze.linalg.Vector<Object>,breeze.linalg.Vector<Object>>> |
StandardScaler.StandardScalerTransformOperation.getModel(StandardScaler instance,
ParameterMap transformParameters) |
Modifier and Type | Method and Description |
---|---|
DataSet<Object> |
ALS.empiricalRisk(DataSet<scala.Tuple3<Object,Object,Object>> labeledData,
ParameterMap riskParameters)
Empirical risk of the trained model (matrix factorization).
|
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