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

Packages that use IgniteBiFunction

Package	Description
org.apache.ignite.ml.clustering.kmeans	Contains kMeans clustering algorithm.
org.apache.ignite.ml.dataset	Base package for machine learning dataset classes.
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.dataset.primitive.builder.data	Contains partition data builders.
org.apache.ignite.ml.knn	Contains main APIs for kNN algorithms.
org.apache.ignite.ml.knn.classification	Contains main APIs for kNN classification algorithms.
org.apache.ignite.ml.knn.regression	Contains helper classes for kNN regression algorithms.
org.apache.ignite.ml.math	Contains main APIs for distributed code algebra.
org.apache.ignite.ml.math.distributed	Contains classes for distribution support.
org.apache.ignite.ml.math.functions	Contains serializable functions for distributed code algebra.
org.apache.ignite.ml.math.impls.matrix	Contains several matrix implementations.
org.apache.ignite.ml.math.impls.vector	Contains specific implementations for vectors.
org.apache.ignite.ml.math.util	Some math utils.
org.apache.ignite.ml.nn	Contains neural networks and related classes.
org.apache.ignite.ml.preprocessing	Base package for machine learning preprocessing classes.
org.apache.ignite.ml.preprocessing.normalization	Contains standardization preprocessor.
org.apache.ignite.ml.regressions.linear	Contains various linear regressions.
org.apache.ignite.ml.structures.partition	Contains internal APIs for dataset partitioned labeled datasets.
org.apache.ignite.ml.svm	Contains main APIs for SVM(support vector machines) algorithms.
org.apache.ignite.ml.trainers	Contains model trainers.
org.apache.ignite.ml.tree.data	Contains data and data builder required for decision tree trainers built on top of partition based dataset.

Uses of IgniteBiFunction in org.apache.ignite.ml.clustering.kmeans

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

Modifier and Type	Method and Description
<K,V> KMeansModel	KMeansTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
<K,V> KMeansModel	KMeansTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.

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,Integer,R> map, IgniteBinaryOperator<R> reduce) Applies the specified map function to every partition data and partition index in the dataset and then reduces map results to final result by using the reduce function.
<R> R	Dataset.compute(IgniteBiFunction<D,Integer,R> map, IgniteBinaryOperator<R> reduce, R identity) Applies the specified map function to every partition data and partition index 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.
static <K,V> SimpleDataset<EmptyContext>	DatasetFactory.createSimpleDataset(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor) Creates a new instance of distributed SimpleDataset using the specified featureExtractor.
static <K,V,C extends Serializable> SimpleDataset<C>	DatasetFactory.createSimpleDataset(DatasetBuilder<K,V> datasetBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, IgniteBiFunction<K,V,double[]> featureExtractor) Creates a new instance of distributed SimpleDataset using the specified partCtxBuilder and featureExtractor.
static <K,V> SimpleDataset<EmptyContext>	DatasetFactory.createSimpleDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, IgniteBiFunction<K,V,double[]> featureExtractor) Creates a new instance of distributed SimpleDataset using the specified featureExtractor.
static <K,V,C extends Serializable> SimpleDataset<C>	DatasetFactory.createSimpleDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, PartitionContextBuilder<K,V,C> partCtxBuilder, IgniteBiFunction<K,V,double[]> featureExtractor) Creates a new instance of distributed SimpleDataset using the specified partCtxBuilder and featureExtractor.
static <K,V> SimpleDataset<EmptyContext>	DatasetFactory.createSimpleDataset(Map<K,V> upstreamMap, int partitions, IgniteBiFunction<K,V,double[]> featureExtractor) Creates a new instance of local SimpleDataset using the specified featureExtractor.
static <K,V,C extends Serializable> SimpleDataset<C>	DatasetFactory.createSimpleDataset(Map<K,V> upstreamMap, int partitions, PartitionContextBuilder<K,V,C> partCtxBuilder, IgniteBiFunction<K,V,double[]> featureExtractor) Creates a new instance of local SimpleDataset using the specified partCtxBuilder and featureExtractor.
static <K,V> SimpleLabeledDataset<EmptyContext>	DatasetFactory.createSimpleLabeledDataset(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of distributed SimpleLabeledDataset using the specified featureExtractor and lbExtractor.
static <K,V> SimpleLabeledDataset<EmptyContext>	DatasetFactory.createSimpleLabeledDataset(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of distributed SimpleLabeledDataset using the specified featureExtractor and lbExtractor.
static <K,V,C extends Serializable> SimpleLabeledDataset<C>	DatasetFactory.createSimpleLabeledDataset(DatasetBuilder<K,V> datasetBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of distributed SimpleLabeledDataset using the specified partCtxBuilder, featureExtractor and lbExtractor.
static <K,V,C extends Serializable> SimpleLabeledDataset<C>	DatasetFactory.createSimpleLabeledDataset(DatasetBuilder<K,V> datasetBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of distributed SimpleLabeledDataset using the specified partCtxBuilder, featureExtractor and lbExtractor.
static <K,V> SimpleLabeledDataset<EmptyContext>	DatasetFactory.createSimpleLabeledDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of distributed SimpleLabeledDataset using the specified featureExtractor and lbExtractor.
static <K,V> SimpleLabeledDataset<EmptyContext>	DatasetFactory.createSimpleLabeledDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of distributed SimpleLabeledDataset using the specified featureExtractor and lbExtractor.
static <K,V,C extends Serializable> SimpleLabeledDataset<C>	DatasetFactory.createSimpleLabeledDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, PartitionContextBuilder<K,V,C> partCtxBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of distributed SimpleLabeledDataset using the specified partCtxBuilder, featureExtractor and lbExtractor.
static <K,V,C extends Serializable> SimpleLabeledDataset<C>	DatasetFactory.createSimpleLabeledDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, PartitionContextBuilder<K,V,C> partCtxBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of distributed SimpleLabeledDataset using the specified partCtxBuilder, featureExtractor and lbExtractor.
static <K,V> SimpleLabeledDataset<EmptyContext>	DatasetFactory.createSimpleLabeledDataset(Map<K,V> upstreamMap, int partitions, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of local SimpleLabeledDataset using the specified featureExtractor and lbExtractor.
static <K,V> SimpleLabeledDataset<EmptyContext>	DatasetFactory.createSimpleLabeledDataset(Map<K,V> upstreamMap, int partitions, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of local SimpleLabeledDataset using the specified featureExtractor and lbExtractor.
static <K,V,C extends Serializable> SimpleLabeledDataset<C>	DatasetFactory.createSimpleLabeledDataset(Map<K,V> upstreamMap, int partitions, PartitionContextBuilder<K,V,C> partCtxBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of local SimpleLabeledDataset using the specified partCtxBuilder, featureExtractor and lbExtractor.
static <K,V,C extends Serializable> SimpleLabeledDataset<C>	DatasetFactory.createSimpleLabeledDataset(Map<K,V> upstreamMap, int partitions, PartitionContextBuilder<K,V,C> partCtxBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of local SimpleLabeledDataset using the specified partCtxBuilder, featureExtractor and lbExtractor.

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,Integer,R> map, IgniteBinaryOperator<R> reduce, R identity) Applies the specified map function to every partition data and partition index 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,Integer,R> map, IgniteBinaryOperator<R> reduce, R identity) Applies the specified map function to every partition data and partition index 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,Integer,R> map, IgniteBinaryOperator<R> reduce, R identity) Applies the specified map function to every partition data and partition index 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.builder.data

Constructors in org.apache.ignite.ml.dataset.primitive.builder.data with parameters of type IgniteBiFunction

Constructor and Description
SimpleDatasetDataBuilder(IgniteBiFunction<K,V,double[]> featureExtractor) Construct a new instance of partition data builder that makes SimpleDatasetData.
SimpleLabeledDatasetDataBuilder(IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Constructs a new instance of partition data builder that makes SimpleLabeledDatasetData.
SimpleLabeledDatasetDataBuilder(IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Constructs a new instance of partition data builder that makes SimpleLabeledDatasetData.

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

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

Modifier and Type	Method and Description
static <K,V> Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>>	KNNUtils.buildDataset(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Builds dataset.
static <K,V> Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>>	KNNUtils.buildDataset(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Builds dataset.

Uses of IgniteBiFunction in org.apache.ignite.ml.knn.classification

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

Modifier and Type	Method and Description
<K,V> KNNClassificationModel	KNNClassificationTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
<K,V> KNNClassificationModel	KNNClassificationTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.

Uses of IgniteBiFunction in org.apache.ignite.ml.knn.regression

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

Modifier and Type	Method and Description
<K,V> KNNRegressionModel	KNNRegressionTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
<K,V> KNNRegressionModel	KNNRegressionTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.

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

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

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

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

Modifier and Type	Method and Description
static <K,V,A> A	CacheUtils.distributedFold(String cacheName, IgniteBiFunction<javax.cache.Cache.Entry<K,V>,A,A> folder, IgnitePredicate<K> keyFilter, BinaryOperator<A> accumulator, IgniteSupplier<A> zeroValSupp) Distributed version of fold operation.
static <K,V,A> Collection<A>	CacheUtils.fold(String cacheName, IgniteBiFunction<CacheUtils.CacheEntry<K,V>,A,A> folder) Currently fold supports only commutative operations.
static <K,V,A> Collection<A>	CacheUtils.fold(String cacheName, IgniteBiFunction<CacheUtils.CacheEntry<K,V>,A,A> folder, IgnitePredicate<K> keyFilter) Currently fold supports only commutative operations.
static <K,V> void	CacheUtils.update(String cacheName, Ignite ignite, IgniteBiFunction<Ignite,javax.cache.Cache.Entry<K,V>,Stream<javax.cache.Cache.Entry<K,V>>> fun, IgniteSupplier<Set<K>> keysGen)

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.impls.matrix

Methods in org.apache.ignite.ml.math.impls.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.
Matrix	AbstractMatrix.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.impls.vector

Methods in org.apache.ignite.ml.math.impls.vector 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	AbstractVector.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.
<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	CacheVector.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	AbstractReadOnlyVector.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(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	AbstractReadOnlyVector.map(Vector vec, IgniteBiFunction<Double,Double,Double> fun) Maps all values in this vector through a given function.
Vector	DelegatingVector.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.

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.nn

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

Modifier and Type	Method and Description
<K,V> MultilayerPerceptron	MLPTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Trains model based on the specified data.
<K,V> MultilayerPerceptron	MLPTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Trains model based on the specified data.

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

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

Modifier and Type	Method and Description
IgniteBiFunction<K,V,R>	PreprocessingTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,T> basePreprocessor) Fits preprocessor.
default IgniteBiFunction<K,V,R>	PreprocessingTrainer.fit(Ignite ignite, IgniteCache<K,V> cache, IgniteBiFunction<K,V,T> basePreprocessor) Fits preprocessor.
default IgniteBiFunction<K,V,R>	PreprocessingTrainer.fit(Map<K,V> data, int parts, IgniteBiFunction<K,V,T> basePreprocessor) Fits preprocessor.

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

Modifier and Type	Method and Description
IgniteBiFunction<K,V,R>	PreprocessingTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,T> basePreprocessor) Fits preprocessor.
default IgniteBiFunction<K,V,R>	PreprocessingTrainer.fit(Ignite ignite, IgniteCache<K,V> cache, IgniteBiFunction<K,V,T> basePreprocessor) Fits preprocessor.
default IgniteBiFunction<K,V,R>	PreprocessingTrainer.fit(Map<K,V> data, int parts, IgniteBiFunction<K,V,T> basePreprocessor) Fits preprocessor.

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.

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

Modifier and Type	Method and Description
NormalizationPreprocessor<K,V>	NormalizationTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> basePreprocessor) Fits preprocessor.

Constructors in org.apache.ignite.ml.preprocessing.normalization with parameters of type IgniteBiFunction

Constructor and Description
NormalizationPreprocessor(double[] min, double[] max, IgniteBiFunction<K,V,double[]> basePreprocessor) Constructs a new instance of normalization preprocessor.

Uses of IgniteBiFunction in org.apache.ignite.ml.regressions.linear

Classes in org.apache.ignite.ml.regressions.linear that implement IgniteBiFunction

Modifier and Type	Class and Description
class	FeatureExtractorWrapper<K,V> Feature extractor wrapper that adds additional column filled by 1.

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

Modifier and Type	Method and Description
<K,V> LinearRegressionModel	LinearRegressionSGDTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
<K,V> LinearRegressionModel	LinearRegressionSGDTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
<K,V> LinearRegressionModel	LinearRegressionLSQRTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
<K,V> LinearRegressionModel	LinearRegressionLSQRTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.

Uses of IgniteBiFunction in org.apache.ignite.ml.structures.partition

Constructors in org.apache.ignite.ml.structures.partition with parameters of type IgniteBiFunction

Constructor and Description
LabeledDatasetPartitionDataBuilderOnHeap(IgniteBiFunction<K,V,double[]> xExtractor, IgniteBiFunction<K,V,Double> yExtractor) Constructs a new instance of SVM partition data builder.
LabeledDatasetPartitionDataBuilderOnHeap(IgniteBiFunction<K,V,double[]> xExtractor, IgniteBiFunction<K,V,Double> yExtractor) Constructs a new instance of SVM partition data builder.
LabelPartitionDataBuilderOnHeap(IgniteBiFunction<K,V,Double> yExtractor) Constructs a new instance of Label partition data builder.

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

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

Modifier and Type	Method and Description
<K,V> SVMLinearMultiClassClassificationModel	SVMLinearMultiClassClassificationTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
<K,V> SVMLinearMultiClassClassificationModel	SVMLinearMultiClassClassificationTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
<K,V> SVMLinearBinaryClassificationModel	SVMLinearBinaryClassificationTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
<K,V> SVMLinearBinaryClassificationModel	SVMLinearBinaryClassificationTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.

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

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

Modifier and Type	Method and Description
<K,V> M	DatasetTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,L> lbExtractor) Trains model based on the specified data.
<K,V> M	DatasetTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,L> lbExtractor) Trains model based on the specified data.
default <K,V> M	DatasetTrainer.fit(Ignite ignite, IgniteCache<K,V> cache, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,L> lbExtractor) Trains model based on the specified data.
default <K,V> M	DatasetTrainer.fit(Ignite ignite, IgniteCache<K,V> cache, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,L> lbExtractor) Trains model based on the specified data.
default <K,V> M	DatasetTrainer.fit(Map<K,V> data, int parts, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,L> lbExtractor) Trains model based on the specified data.
default <K,V> M	DatasetTrainer.fit(Map<K,V> data, int parts, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,L> lbExtractor) Trains model based on the specified data.

Uses of IgniteBiFunction in org.apache.ignite.ml.tree.data

Constructors in org.apache.ignite.ml.tree.data with parameters of type IgniteBiFunction

Constructor and Description
DecisionTreeDataBuilder(IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Constructs a new instance of decision tree data builder.
DecisionTreeDataBuilder(IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Constructs a new instance of decision tree data builder.