org.apache.ignite.ml.preprocessing

Interface Preprocessor<K,V>

Type Parameters:

K -

V -

All Superinterfaces:

BiFunction<K,V,LabeledVector>, IgniteBiFunction<K,V,LabeledVector>, Serializable

All Known Subinterfaces:

FeatureLabelExtractor<K,V,L>

All Known Implementing Classes:

BinarizationPreprocessor, BinaryObjectVectorizer, DoubleArrayVectorizer, DummyVectorizer, EncoderPreprocessor, ExtractionUtils.ArrayLikeVectorizer, ExtractionUtils.DefaultLabelVectorizer, ExtractionUtils.IntCoordVectorizer, ExtractionUtils.StringCoordVectorizer, ImputerPreprocessor, LabeledDummyVectorizer, MappedPreprocessor, MaxAbsScalerPreprocessor, MinMaxScalerPreprocessor, NormalizationPreprocessor, OneHotEncoderPreprocessor, PatchedPreprocessor, StandardScalerPreprocessor, StringEncoderPreprocessor, Vectorizer, Vectorizer.VectorizerAdapter

public interface Preprocessor<K,V>
extends IgniteBiFunction<K,V,LabeledVector>

Basic interface in Preprocessor Hierarchy.

Method Summary

Modifier and Type	Method and Description
default <L1,L2> Preprocessor<K,V>	map(IgniteFunction<LabeledVector<L1>,LabeledVector<L2>> func) Map vectorizer answer.

Methods inherited from interface org.apache.ignite.ml.math.functions.IgniteBiFunction

andThen

Methods inherited from interface java.util.function.BiFunction

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Method Detail

map

default <L1,L2> Preprocessor<K,V> map(IgniteFunction<LabeledVector<L1>,LabeledVector<L2>> func)

Map vectorizer answer. This method should be called after creating basic vectorizer. NOTE: function "func" should be on ignite servers.

Type Parameters:

L1 - Type of new label.

Parameters:

func - mapper.

Returns:

mapped vectorizer.