Uses of Interface
org.apache.ignite.ml.math.functions.IgniteBiFunction

Packages that use IgniteBiFunction

Package	Description
org.apache.ignite.ml.composition	Contains classes for ensemble of models implementation.
org.apache.ignite.ml.composition.combinators.sequential	Contains sequential combinators of trainers and models.
org.apache.ignite.ml.dataset	Base package for machine learning dataset classes.
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.
org.apache.ignite.ml.dataset.impl.cache	Base package for cache based implementation of machine learning dataset.
org.apache.ignite.ml.dataset.impl.local	Base package for local implementation of machine learning dataset.
org.apache.ignite.ml.dataset.primitive	Package that contains basic primitives build on top of Dataset.
org.apache.ignite.ml.math.functions	Contains serializable functions for distributed code algebra.
org.apache.ignite.ml.math.primitives.matrix	Contains matrix related classes.
org.apache.ignite.ml.math.primitives.vector	Contains vector related classes.
org.apache.ignite.ml.math.primitives.vector.impl	Contains several vector implementations.
org.apache.ignite.ml.math.util	Some math utils.
org.apache.ignite.ml.preprocessing	Base package for machine learning preprocessing classes.
org.apache.ignite.ml.preprocessing.binarization	Contains binarization preprocessor.
org.apache.ignite.ml.preprocessing.developer	Contains Developer API preprocessors.
org.apache.ignite.ml.preprocessing.encoding	Contains encoding preprocessors.
org.apache.ignite.ml.preprocessing.encoding.onehotencoder	Contains one hot encoding preprocessor.
org.apache.ignite.ml.preprocessing.encoding.stringencoder	Contains string encoding preprocessor.
org.apache.ignite.ml.preprocessing.imputing	Contains Imputer preprocessor.
org.apache.ignite.ml.preprocessing.maxabsscaling	Contains Max Abs Scaler preprocessor.
org.apache.ignite.ml.preprocessing.minmaxscaling	Contains Min Max Scaler preprocessor.
org.apache.ignite.ml.preprocessing.normalization	Contains Normalizer preprocessor.
org.apache.ignite.ml.preprocessing.standardscaling	Contains Standard scaler preprocessor.
org.apache.ignite.ml.trainers	Contains model trainers.

Uses of IgniteBiFunction in org.apache.ignite.ml.composition

Methods in org.apache.ignite.ml.composition that return IgniteBiFunction

Modifier and Type	Method and Description
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.

Uses of IgniteBiFunction in org.apache.ignite.ml.composition.combinators.sequential

Fields in org.apache.ignite.ml.composition.combinators.sequential declared as IgniteBiFunction

Modifier and Type	Field and Description
protected IgniteBiFunction<Integer,? super IgniteModel<I,O1>,IgniteFunction<LabeledVector<L>,LabeledVector<L>>>	TrainersSequentialComposition.datasetMapping Dataset mapping.

Methods in org.apache.ignite.ml.composition.combinators.sequential with parameters of type IgniteBiFunction

Modifier and Type	Method and Description
static <I,O,L> TrainersSequentialComposition<I,O,O,L>	TrainersSequentialComposition.ofSame(DatasetTrainer<? extends IgniteModel<I,O>,L> tr, IgniteBiFunction<Integer,? super IgniteModel<I,O>,IgniteFunction<LabeledVector<L>,LabeledVector<L>>> datasetMapping, IgniteBiPredicate<Integer,IgniteModel<I,O>> shouldStop, IgniteFunction<O,I> out2In) Construct sequential composition of same trainers.

Constructors in org.apache.ignite.ml.composition.combinators.sequential with parameters of type IgniteBiFunction

Constructor and Description
TrainersSequentialComposition(DatasetTrainer<? extends IgniteModel<I,O1>,L> tr1, DatasetTrainer<? extends IgniteModel<O1,O2>,L> tr2, IgniteBiFunction<Integer,? super IgniteModel<I,O1>,IgniteFunction<LabeledVector<L>,LabeledVector<L>>> datasetMapping) Create sequential composition of two trainers.

Uses of IgniteBiFunction in org.apache.ignite.ml.dataset

Methods in org.apache.ignite.ml.dataset with parameters of type IgniteBiFunction

Modifier and Type	Method and Description
default <D2 extends AutoCloseable> PartitionDataBuilder<K,V,C,D2>	PartitionDataBuilder.andThen(IgniteBiFunction<D,C,D2> fun) Makes a composed partition data builder that first builds a data and then applies the specified function on the result.
default <R> R	Dataset.compute(IgniteBiFunction<D,LearningEnvironment,R> map, IgniteBinaryOperator<R> reduce) Applies the specified map function to every partition data and LearningEnvironment in the dataset and then reduces map results to final result by using the reduce function.
<R> R	Dataset.compute(IgniteBiFunction<D,LearningEnvironment,R> map, IgniteBinaryOperator<R> reduce, R identity) Applies the specified map function to every partition data and LearningEnvironment in the dataset and then reduces map results to final result by using the reduce function.
default <R> R	Dataset.computeWithCtx(IgniteBiFunction<C,D,R> map, IgniteBinaryOperator<R> reduce) Applies the specified map function to every partition data and context in the dataset and then reduces map results to final result by using the reduce function.
default <R> R	Dataset.computeWithCtx(IgniteBiFunction<C,D,R> map, IgniteBinaryOperator<R> reduce, R identity) Applies the specified map function to every partition data and context in the dataset and then reduces map results to final result by using the reduce function.

Uses of IgniteBiFunction in org.apache.ignite.ml.dataset.feature.extractor

Classes in org.apache.ignite.ml.dataset.feature.extractor that implement IgniteBiFunction

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.

Uses of IgniteBiFunction in org.apache.ignite.ml.dataset.feature.extractor.impl

Classes in org.apache.ignite.ml.dataset.feature.extractor.impl that implement IgniteBiFunction

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.

Uses of IgniteBiFunction in org.apache.ignite.ml.dataset.impl.cache

Methods in org.apache.ignite.ml.dataset.impl.cache with parameters of type IgniteBiFunction

Modifier and Type	Method and Description
<R> R	CacheBasedDataset.compute(IgniteBiFunction<D,LearningEnvironment,R> map, IgniteBinaryOperator<R> reduce, R identity) Applies the specified map function to every partition data and LearningEnvironment in the dataset and then reduces map results to final result by using the reduce function.

Uses of IgniteBiFunction in org.apache.ignite.ml.dataset.impl.local

Methods in org.apache.ignite.ml.dataset.impl.local with parameters of type IgniteBiFunction

Modifier and Type	Method and Description
<R> R	LocalDataset.compute(IgniteBiFunction<D,LearningEnvironment,R> map, IgniteBinaryOperator<R> reduce, R identity) Applies the specified map function to every partition data and LearningEnvironment in the dataset and then reduces map results to final result by using the reduce function.

Uses of IgniteBiFunction in org.apache.ignite.ml.dataset.primitive

Methods in org.apache.ignite.ml.dataset.primitive with parameters of type IgniteBiFunction

Modifier and Type	Method and Description
<R> R	DatasetWrapper.compute(IgniteBiFunction<D,LearningEnvironment,R> map, IgniteBinaryOperator<R> reduce, R identity) Applies the specified map function to every partition data and LearningEnvironment in the dataset and then reduces map results to final result by using the reduce function.

Uses of IgniteBiFunction in org.apache.ignite.ml.math.functions

Subinterfaces of IgniteBiFunction in org.apache.ignite.ml.math.functions

Modifier and Type	Interface and Description
interface	IntIntToDoubleFunction Getters functions for matrices.

Fields in org.apache.ignite.ml.math.functions declared as IgniteBiFunction

Modifier and Type	Field and Description
static IgniteBiFunction<Double,Double,Double>	Functions.COMPARE Function that returns {@code a < b ?
static IgniteBiFunction<Double,Double,Double>	Functions.LG Function that returns Math.log(a) / Math.log(b).
static IgniteBiFunction<Double,Double,Double>	Functions.MAX_ABS Function that returns max(abs(a), abs(b)).
static IgniteBiFunction<Double,Double,Double>	Functions.MIN Function that returns min(a, b).
static IgniteBiFunction<Double,Double,Double>	Functions.MIN_ABS Function that returns min(abs(a), abs(b)).
static IgniteBiFunction<Double,Double,Double>	Functions.MINUS Function that returns a - b.
static IgniteBiFunction<Double,Double,Double>	Functions.MINUS_ABS Function that returns abs(a - b).
static IgniteBiFunction<Double,Double,Double>	Functions.MINUS_SQUARED Function that returns (a - b) * (a - b)
static IgniteBiFunction<Double,Double,Double>	Functions.MOD Function that returns a % b.
static IgniteBiFunction<Double,Double,Double>	Functions.MULT Function that returns a * b.
static IgniteBiFunction<Double,Double,Double>	Functions.PLUS Function that returns a + b.
static IgniteBiFunction<Double,Double,Double>	Functions.PLUS_ABS Function that returns Math.abs(a) + Math.abs(b).

Methods in org.apache.ignite.ml.math.functions that return IgniteBiFunction

Modifier and Type	Method and Description
default <V> IgniteBiFunction<T,U,V>	IgniteBiFunction.andThen(IgniteFunction<? super R,? extends V> after)
static IgniteBiFunction<Double,Double,Double>	Functions.minusMult(double constant) Function that returns a - b*constant.
static <A,B,C> IgniteBiFunction<A,B,IgniteSupplier<C>>	Functions.outputSupplier(IgniteBiFunction<A,B,C> f) Transform function of form (a, b) -> c into (a, b) - () -> c.
static IgniteBiFunction<Double,Double,Double>	Functions.plusMult(double constant) Function that returns a + b*constant.

Methods in org.apache.ignite.ml.math.functions with parameters of type IgniteBiFunction

Modifier and Type	Method and Description
static <A,B,C> IgniteCurriedBiFunction<A,B,C>	Functions.curry(IgniteBiFunction<A,B,C> f) Transform bi-function of the form (a, b) -> c into a function of form a -> (b -> c).
static <A,B,C> IgniteBiFunction<A,B,IgniteSupplier<C>>	Functions.outputSupplier(IgniteBiFunction<A,B,C> f) Transform function of form (a, b) -> c into (a, b) - () -> c.

Uses of IgniteBiFunction in org.apache.ignite.ml.math.primitives.matrix

Methods in org.apache.ignite.ml.math.primitives.matrix with parameters of type IgniteBiFunction

Modifier and Type	Method and Description
<T> T	AbstractMatrix.foldMap(IgniteBiFunction<T,Double,T> foldFun, IgniteDoubleFunction<Double> mapFun, T zeroVal) Folds this matrix into a single value.
<T> T	Matrix.foldMap(IgniteBiFunction<T,Double,T> foldFun, IgniteDoubleFunction<Double> mapFun, T zeroVal) Folds this matrix into a single value.
Matrix	AbstractMatrix.map(Matrix mtx, IgniteBiFunction<Double,Double,Double> fun) Maps all values in this matrix through a given function.
Matrix	Matrix.map(Matrix mtx, IgniteBiFunction<Double,Double,Double> fun) Maps all values in this matrix through a given function.

Uses of IgniteBiFunction in org.apache.ignite.ml.math.primitives.vector

Methods in org.apache.ignite.ml.math.primitives.vector with parameters of type IgniteBiFunction

Modifier and Type	Method and Description
<T> T	Vector.foldMap(IgniteBiFunction<T,Double,T> foldFun, IgniteDoubleFunction<Double> mapFun, T zeroVal) Folds this vector into a single value.
<T> T	AbstractVector.foldMap(IgniteBiFunction<T,Double,T> foldFun, IgniteDoubleFunction<Double> mapFun, T zeroVal) Folds this vector into a single value.
<T> T	Vector.foldMap(Vector vec, IgniteBiFunction<T,Double,T> foldFun, IgniteBiFunction<Double,Double,Double> combFun, T zeroVal) Combines & maps two vector and folds them into a single value.
<T> T	Vector.foldMap(Vector vec, IgniteBiFunction<T,Double,T> foldFun, IgniteBiFunction<Double,Double,Double> combFun, T zeroVal) Combines & maps two vector and folds them into a single value.
<T> T	AbstractVector.foldMap(Vector vec, IgniteBiFunction<T,Double,T> foldFun, IgniteBiFunction<Double,Double,Double> combFun, T zeroVal) Combines & maps two vector and folds them into a single value.
<T> T	AbstractVector.foldMap(Vector vec, IgniteBiFunction<T,Double,T> foldFun, IgniteBiFunction<Double,Double,Double> combFun, T zeroVal) Combines & maps two vector and folds them into a single value.
Vector	Vector.map(IgniteBiFunction<Double,Double,Double> fun, double y) Maps all elements of this vector by applying given function to each element with a constant second parameter y.
Vector	AbstractVector.map(IgniteBiFunction<Double,Double,Double> fun, double y) Maps all elements of this vector by applying given function to each element with a constant second parameter y.
Vector	Vector.map(Vector vec, IgniteBiFunction<Double,Double,Double> fun) Maps all values in this vector through a given function.
Vector	AbstractVector.map(Vector vec, IgniteBiFunction<Double,Double,Double> fun) Maps all values in this vector through a given function.
static Vector	VectorUtils.zipWith(Vector v1, Vector v2, IgniteBiFunction<Double,Double,Double> f) Zip two vectors with given binary function (i.e. apply binary function to both vector elementwise and construct vector from results).

Uses of IgniteBiFunction in org.apache.ignite.ml.math.primitives.vector.impl

Methods in org.apache.ignite.ml.math.primitives.vector.impl with parameters of type IgniteBiFunction

Modifier and Type	Method and Description
<T> T	DelegatingVector.foldMap(IgniteBiFunction<T,Double,T> foldFun, IgniteDoubleFunction<Double> mapFun, T zeroVal) Folds this vector into a single value.
<T> T	DelegatingVector.foldMap(Vector vec, IgniteBiFunction<T,Double,T> foldFun, IgniteBiFunction<Double,Double,Double> combFun, T zeroVal) Combines & maps two vector and folds them into a single value.
<T> T	DelegatingVector.foldMap(Vector vec, IgniteBiFunction<T,Double,T> foldFun, IgniteBiFunction<Double,Double,Double> combFun, T zeroVal) Combines & maps two vector and folds them into a single value.
Vector	DelegatingVector.map(IgniteBiFunction<Double,Double,Double> fun, double y) Maps all elements of this vector by applying given function to each element with a constant second parameter y.
Vector	DelegatingVector.map(Vector vec, IgniteBiFunction<Double,Double,Double> fun) Maps all values in this vector through a given function.

Uses of IgniteBiFunction in org.apache.ignite.ml.math.util

Methods in org.apache.ignite.ml.math.util with parameters of type IgniteBiFunction

Modifier and Type	Method and Description
static Vector	MatrixUtil.zipFoldByColumns(Matrix mtx1, Matrix mtx2, IgniteBiFunction<Vector,Vector,Double> fun) Zips two matrices by column-by-column with specified function.
static Vector	MatrixUtil.zipFoldByRows(Matrix mtx1, Matrix mtx2, IgniteBiFunction<Vector,Vector,Double> fun) Zips two matrices by row-by-row with specified function.

Uses of IgniteBiFunction in org.apache.ignite.ml.preprocessing

Subinterfaces of IgniteBiFunction in org.apache.ignite.ml.preprocessing

Modifier and Type	Interface and Description
interface	Preprocessor<K,V> Basic interface in Preprocessor Hierarchy.

Uses of IgniteBiFunction in org.apache.ignite.ml.preprocessing.binarization

Classes in org.apache.ignite.ml.preprocessing.binarization that implement IgniteBiFunction

Modifier and Type	Class and Description
class	BinarizationPreprocessor<K,V> Preprocessing function that makes binarization.

Uses of IgniteBiFunction in org.apache.ignite.ml.preprocessing.developer

Classes in org.apache.ignite.ml.preprocessing.developer that implement IgniteBiFunction

Modifier and Type	Class and Description
class	MappedPreprocessor<K,V,L0,L1> Mapped Preprocessor.
class	PatchedPreprocessor<K,V,L1,L2> Preprocessing function that makes binarization.

Uses of IgniteBiFunction in org.apache.ignite.ml.preprocessing.encoding

Classes in org.apache.ignite.ml.preprocessing.encoding that implement IgniteBiFunction

Modifier and Type	Class and Description
class	EncoderPreprocessor<K,V> Preprocessing function that makes encoding.

Uses of IgniteBiFunction in org.apache.ignite.ml.preprocessing.encoding.onehotencoder

Classes in org.apache.ignite.ml.preprocessing.encoding.onehotencoder that implement IgniteBiFunction

Modifier and Type	Class and Description
class	OneHotEncoderPreprocessor<K,V> Preprocessing function that makes one-hot encoding.

Uses of IgniteBiFunction in org.apache.ignite.ml.preprocessing.encoding.stringencoder

Classes in org.apache.ignite.ml.preprocessing.encoding.stringencoder that implement IgniteBiFunction

Modifier and Type	Class and Description
class	StringEncoderPreprocessor<K,V> Preprocessing function that makes String encoding.

Uses of IgniteBiFunction in org.apache.ignite.ml.preprocessing.imputing

Classes in org.apache.ignite.ml.preprocessing.imputing that implement IgniteBiFunction

Modifier and Type	Class and Description
class	ImputerPreprocessor<K,V> Preprocessing function that makes imputing.

Uses of IgniteBiFunction in org.apache.ignite.ml.preprocessing.maxabsscaling

Classes in org.apache.ignite.ml.preprocessing.maxabsscaling that implement IgniteBiFunction

Modifier and Type	Class and Description
class	MaxAbsScalerPreprocessor<K,V> The preprocessing function that makes maxabsscaling, transforms features to the scale [-1,+1].

Uses of IgniteBiFunction in org.apache.ignite.ml.preprocessing.minmaxscaling

Classes in org.apache.ignite.ml.preprocessing.minmaxscaling that implement IgniteBiFunction

Modifier and Type	Class and Description
class	MinMaxScalerPreprocessor<K,V> Preprocessing function that makes minmaxscaling.

Uses of IgniteBiFunction in org.apache.ignite.ml.preprocessing.normalization

Classes in org.apache.ignite.ml.preprocessing.normalization that implement IgniteBiFunction

Modifier and Type	Class and Description
class	NormalizationPreprocessor<K,V> Preprocessing function that makes normalization.

Uses of IgniteBiFunction in org.apache.ignite.ml.preprocessing.standardscaling

Classes in org.apache.ignite.ml.preprocessing.standardscaling that implement IgniteBiFunction

Modifier and Type	Class and Description
class	StandardScalerPreprocessor<K,V> The preprocessing function that makes standard scaling, transforms features to make mean equal to 0 and variance equal to 1.

Uses of IgniteBiFunction in org.apache.ignite.ml.trainers

Subinterfaces of IgniteBiFunction in org.apache.ignite.ml.trainers

Modifier and Type	Interface and Description
interface	FeatureLabelExtractor<K,V,L> Class fro extracting features and vectors from upstream.