org.apache.ignite.ml.dataset.feature.extractor.impl

Class LabeledDummyVectorizer<K,L>

java.lang.Object

org.apache.ignite.ml.dataset.feature.extractor.Vectorizer<K,LabeledVector<L>,Integer,L>

org.apache.ignite.ml.dataset.feature.extractor.impl.LabeledDummyVectorizer<K,L>

Type Parameters:

K - Type of key.

All Implemented Interfaces:

Serializable, BiFunction<K,LabeledVector<L>,LabeledVector>, DeployableObject, IgniteBiFunction<K,LabeledVector<L>,LabeledVector>, Preprocessor<K,LabeledVector<L>>, FeatureLabelExtractor<K,LabeledVector<L>,L>

public class LabeledDummyVectorizer<K,L>
extends Vectorizer<K,LabeledVector<L>,Integer,L>
implements DeployableObject

Vectorizer on LabeledVector.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer

Vectorizer.LabelCoordinate, Vectorizer.VectorizerAdapter<K,V,C extends Serializable,L>

Constructor Summary

Constructors

Constructor and Description
LabeledDummyVectorizer(Integer... coords) Creates an instance of Vectorizer.

Method Summary

Modifier and Type	Method and Description
protected List<Integer>	allCoords(K key, LabeledVector<L> value) Returns list of all coordinate with feature values.
protected Double	feature(Integer coord, K key, LabeledVector<L> value) Extracts feature value by given coordinate.
List<Object>	getDependencies() Returns dependencies of this object that can be object with class defined by client side and unknown for server.
protected L	label(Integer coord, K key, LabeledVector<L> value) Extract label value by given coordinate.
protected L	zero() Returns default label value for unlabeled data.

Methods inherited from class org.apache.ignite.ml.dataset.feature.extractor.Vectorizer

apply, createVector, exclude, extract, labeled, labeled

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.ignite.ml.trainers.FeatureLabelExtractor

extractFeatures, extractLabel

Methods inherited from interface org.apache.ignite.ml.preprocessing.Preprocessor

map

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

andThen

Methods inherited from interface java.util.function.BiFunction

andThen

Constructor Detail

LabeledDummyVectorizer

public LabeledDummyVectorizer(Integer... coords)

Creates an instance of Vectorizer.

Parameters:

coords - Coordinates.

Method Detail

feature

protected Double feature(Integer coord,
                         K key,
                         LabeledVector<L> value)

Extracts feature value by given coordinate.

Specified by:

feature in class Vectorizer<K,LabeledVector<L>,Integer,L>

Parameters:

coord - Coordinate.

key - Key.

value - Value.

Returns:

feature value.

label

protected L label(Integer coord,
                  K key,
                  LabeledVector<L> value)

Extract label value by given coordinate.

Specified by:

label in class Vectorizer<K,LabeledVector<L>,Integer,L>

Parameters:

coord - Coordinate.

key - Key.

value - Value.

Returns:

label value.

zero

protected L zero()

Returns default label value for unlabeled data.

Specified by:

zero in class Vectorizer<K,LabeledVector<L>,Integer,L>

Returns:

label value.

allCoords

protected List<Integer> allCoords(K key,
                                  LabeledVector<L> value)

Returns list of all coordinate with feature values.

Specified by:

allCoords in class Vectorizer<K,LabeledVector<L>,Integer,L>

Parameters:

key - Key.

value - Value.

Returns:

all coordinates list.

getDependencies

public List<Object> getDependencies()

Returns dependencies of this object that can be object with class defined by client side and unknown for server.

Specified by:

getDependencies in interface DeployableObject