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

Packages that use IgniteTriFunction

Package	Description
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.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.matrix.impl	Contains several matrix implementations.
org.apache.ignite.ml.math.primitives.matrix.storage	Contains several matrix storages.
org.apache.ignite.ml.math.util	Some math utils.

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

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

Modifier and Type	Method and Description
default <R> R	Dataset.computeWithCtx(IgniteTriFunction<C,D,LearningEnvironment,R> map, IgniteBinaryOperator<R> reduce) Applies the specified map function to every partition data, context and LearningEnvironment in the dataset and then reduces map results to final result by using the reduce function.
<R> R	Dataset.computeWithCtx(IgniteTriFunction<C,D,LearningEnvironment,R> map, IgniteBinaryOperator<R> reduce, R identity) Applies the specified map function to every partition data, context and partition index in the dataset and then reduces map results to final result by using the reduce function.

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

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

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

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

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

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

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

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

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

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

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

Modifier and Type	Method and Description
default <V> IgniteTriFunction<A,B,C,V>	IgniteTriFunction.andThen(Function<? super R,? extends V> after)

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

Modifier and Type	Method and Description
static <A,B,C,D> IgniteCurriedTriFunction<A,B,C,D>	Functions.curry(IgniteTriFunction<A,B,C,D> f) Transform tri-function of the form (a, b, c) -> d into a function of form a -> (b -> (c -> d)).

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

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

Modifier and Type	Method and Description
void	AbstractMatrix.compute(int row, int col, IgniteTriFunction<Integer,Integer,Double,Double> f) Replace matrix entry with value oldVal at (row, col) with result of computing f(row, col, oldVal).
void	Matrix.compute(int row, int col, IgniteTriFunction<Integer,Integer,Double,Double> f) Replace matrix entry with value oldVal at (row, col) with result of computing f(row, col, oldVal).

Uses of IgniteTriFunction in org.apache.ignite.ml.math.primitives.matrix.impl

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

Modifier and Type	Method and Description
void	SparseMatrix.compute(int row, int col, IgniteTriFunction<Integer,Integer,Double,Double> f) Replace matrix entry with value oldVal at (row, col) with result of computing f(row, col, oldVal).

Uses of IgniteTriFunction in org.apache.ignite.ml.math.primitives.matrix.storage

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

Modifier and Type	Method and Description
void	SparseMatrixStorage.compute(int row, int col, IgniteTriFunction<Integer,Integer,Double,Double> f)

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

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

Modifier and Type	Method and Description
static Vector	MatrixUtil.zipWith(Vector v1, Vector v2, IgniteTriFunction<Double,Double,Integer,Double> f) Zip two vectors with given tri-function taking as third argument position in vector (i.e. apply binary function to both vector elementwise and construct vector from results).