Package | Description |
---|---|
org.apache.flink.ml.classification | |
org.apache.flink.ml.nn | |
org.apache.flink.ml.pipeline | |
org.apache.flink.ml.recommendation | |
org.apache.flink.ml.regression |
Modifier and Type | Method and Description |
---|---|
static <Testing,Prediction> |
SVM.predict(DataSet<Testing> testing,
ParameterMap predictParameters,
PredictDataSetOperation<Self,Testing,Prediction> predictor) |
Modifier and Type | Method and Description |
---|---|
static <Testing,Prediction> |
KNN.predict(DataSet<Testing> testing,
ParameterMap predictParameters,
PredictDataSetOperation<Self,Testing,Prediction> predictor) |
Modifier and Type | Method and Description |
---|---|
<T extends Transformer<T>,P extends Predictor<P>,Testing,Intermediate,Prediction> |
ChainedPredictor$.chainedPredictOperation(TransformDataSetOperation<T,Testing,Intermediate> transformOperation,
PredictDataSetOperation<P,Intermediate,Prediction> predictOperation)
PredictDataSetOperation for the ChainedPredictor . |
static <T extends Transformer<T>,P extends Predictor<P>,Testing,Intermediate,Prediction> |
ChainedPredictor.chainedPredictOperation(TransformDataSetOperation<T,Testing,Intermediate> transformOperation,
PredictDataSetOperation<P,Intermediate,Prediction> predictOperation)
PredictDataSetOperation for the ChainedPredictor . |
<Instance extends Estimator<Instance>,Model,Testing,PredictionValue> |
Predictor$.defaultPredictDataSetOperation(PredictOperation<Instance,Model,Testing,PredictionValue> predictOperation,
TypeInformation<Testing> testingTypeInformation,
TypeInformation<PredictionValue> predictionValueTypeInformation)
Default
PredictDataSetOperation which takes a PredictOperation to calculate a tuple
of testing element and its prediction value. |
<Self,Testing> |
Estimator$.fallbackPredictOperation(scala.reflect.api.TypeTags.TypeTag<Self> evidence$3,
scala.reflect.api.TypeTags.TypeTag<Testing> evidence$4)
Fallback
PredictDataSetOperation if a Predictor is called with a not supported input
data type. |
Modifier and Type | Method and Description |
---|---|
<T extends Transformer<T>,P extends Predictor<P>,Testing,Intermediate,Prediction> |
ChainedPredictor$.chainedPredictOperation(TransformDataSetOperation<T,Testing,Intermediate> transformOperation,
PredictDataSetOperation<P,Intermediate,Prediction> predictOperation)
PredictDataSetOperation for the ChainedPredictor . |
static <T extends Transformer<T>,P extends Predictor<P>,Testing,Intermediate,Prediction> |
ChainedPredictor.chainedPredictOperation(TransformDataSetOperation<T,Testing,Intermediate> transformOperation,
PredictDataSetOperation<P,Intermediate,Prediction> predictOperation)
PredictDataSetOperation for the ChainedPredictor . |
static <Testing,Prediction> |
ChainedPredictor.predict(DataSet<Testing> testing,
ParameterMap predictParameters,
PredictDataSetOperation<Self,Testing,Prediction> predictor) |
<Testing,Prediction> |
Predictor.predict(DataSet<Testing> testing,
ParameterMap predictParameters,
PredictDataSetOperation<Self,Testing,Prediction> predictor)
Predict testing data according the learned model.
|
Modifier and Type | Method and Description |
---|---|
static <Testing,Prediction> |
ALS.predict(DataSet<Testing> testing,
ParameterMap predictParameters,
PredictDataSetOperation<Self,Testing,Prediction> predictor) |
Modifier and Type | Method and Description |
---|---|
static <Testing,Prediction> |
MultipleLinearRegression.predict(DataSet<Testing> testing,
ParameterMap predictParameters,
PredictDataSetOperation<Self,Testing,Prediction> predictor) |
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