Package | Description |
---|---|
org.apache.ignite.ml.composition |
Contains classes for ensemble of models implementation.
|
org.apache.ignite.ml.dataset.feature.extractor |
Package for upstream object vectorizations.
|
org.apache.ignite.ml.dataset.feature.extractor.impl |
Package contains default implementations of
Vectorizer . |
Modifier and Type | Method and Description |
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static <K,V,L> IgniteBiFunction<K,V,Vector> |
CompositionUtils.asFeatureExtractor(FeatureLabelExtractor<K,V,L> extractor)
Create feature extractor from given mapping
(key, value) -> LabeledVector . |
static <K,V,L> IgniteBiFunction<K,V,L> |
CompositionUtils.asLabelExtractor(FeatureLabelExtractor<K,V,L> extractor)
Label extractor feature extractor from given mapping
(key, value) -> LabeledVector . |
Modifier and Type | Class and Description |
---|---|
static class |
ExtractionUtils.ArrayLikeVectorizer<K,V>
Vectorizer extracting vectors from array-like structure with finite size and integer coordinates.
|
static class |
ExtractionUtils.DefaultLabelVectorizer<K,V,C extends Serializable>
Vectorizer with double-label containing on same level as feature values.
|
static class |
ExtractionUtils.IntCoordVectorizer<K,V>
Vectorizer with integer coordinates.
|
static class |
ExtractionUtils.StringCoordVectorizer<K,V>
Vectorizer with String-coordinates.
|
class |
Vectorizer<K,V,C extends Serializable,L>
Class for extracting labeled vectors from upstream.
|
static class |
Vectorizer.VectorizerAdapter<K,V,C extends Serializable,L>
Utility class for convenient overridings.
|
Modifier and Type | Class and Description |
---|---|
class |
BinaryObjectVectorizer<K>
Vectorizer on binary objects.
|
class |
DoubleArrayVectorizer<K>
Vectorizer on arrays of doubles.
|
class |
DummyVectorizer<K>
Vectorizer on Vector.
|
class |
LabeledDummyVectorizer<K,L>
Vectorizer on LabeledVector.
|
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024