Uses of Class
oracle.pgx.api.MatrixFactorizationModel

Packages that use MatrixFactorizationModel

Package	Description
oracle.pgx.api	This package contains the main Java APIs.

Uses of MatrixFactorizationModel in oracle.pgx.api

Methods in oracle.pgx.api that return MatrixFactorizationModel

Modifier and Type	Method and Description
<ID> MatrixFactorizationModel<ID>	Analyst.matrixFactorizationGradientDescent(BipartiteGraph graph, EdgeProperty<java.lang.Double> weightProperty) Blocking version of Analyst.matrixFactorizationGradientDescentAsync(BipartiteGraph, EdgeProperty).
<ID> MatrixFactorizationModel<ID>	Analyst.matrixFactorizationGradientDescent(BipartiteGraph graph, EdgeProperty<java.lang.Double> weightProperty, double learningRate, double changePerStep, double lambda, int maxStep, int vectorLength) Blocking version of Analyst.matrixFactorizationGradientDescentAsync(BipartiteGraph, EdgeProperty, double, double, double, int, int).
<ID> MatrixFactorizationModel<ID>	Analyst.matrixFactorizationGradientDescent(BipartiteGraph graph, EdgeProperty<java.lang.Double> weightProperty, double learningRate, double changePerStep, double lambda, int maxStep, int vectorLength, VertexProperty<ID,PgxVect<java.lang.Double>> features) Blocking version of #matrixFactorizationGradientDescentAsync(BipartiteGraph, EdgeProperty, double, double, double, int, int, VertexProperty<ID, PgxVect<Double>>).
<ID> MatrixFactorizationModel<ID>	Analyst.matrixFactorizationGradientDescent(BipartiteGraph graph, EdgeProperty<java.lang.Double> weightProperty, VertexProperty<ID,PgxVect<java.lang.Double>> features) Blocking version of #matrixFactorizationGradientDescentAsync(BipartiteGraph, EdgeProperty, VertexProperty<ID, PgxVect<Double>>).

Methods in oracle.pgx.api that return types with arguments of type MatrixFactorizationModel

Modifier and Type	Method and Description
<ID> PgxFuture<MatrixFactorizationModel<ID>>	Analyst.matrixFactorizationGradientDescentAsync(BipartiteGraph graph, EdgeProperty<java.lang.Double> weightProperty) Performs the training step of generating recommendations using matrix factorization.
<ID> PgxFuture<MatrixFactorizationModel<ID>>	Analyst.matrixFactorizationGradientDescentAsync(BipartiteGraph graph, EdgeProperty<java.lang.Double> weightProperty, double learningRate, double changePerStep, double lambda, int maxStep, int vectorLength) Performs the training step of generating recommendations using matrix factorization.
<ID> PgxFuture<MatrixFactorizationModel<ID>>	Analyst.matrixFactorizationGradientDescentAsync(BipartiteGraph graph, EdgeProperty<java.lang.Double> weightProperty, double learningRate, double changePerStep, double lambda, int maxStep, int vectorLength, VertexProperty<ID,PgxVect<java.lang.Double>> features) Performs the training step of generating recommendations using matrix factorization.
<ID> PgxFuture<MatrixFactorizationModel<ID>>	Analyst.matrixFactorizationGradientDescentAsync(BipartiteGraph graph, EdgeProperty<java.lang.Double> weightProperty, VertexProperty<ID,PgxVect<java.lang.Double>> features) Performs the training step of generating recommendations using matrix factorization.