MatrixFactorizationTrainer.Options Class

Definition

Namespace:

Microsoft.ML.Trainers

Assembly:

Microsoft.ML.Recommender.dll

Package:

Microsoft.ML.Recommender v0.21.1

Options for the MatrixFactorizationTrainer as used in MatrixFactorization(Options).

public sealed class MatrixFactorizationTrainer.Options

type MatrixFactorizationTrainer.Options = class

Public NotInheritable Class MatrixFactorizationTrainer.Options

Inheritance

Object

MatrixFactorizationTrainer.Options

Constructors

MatrixFactorizationTrainer.Options()

Fields

Alpha	Importance of unobserved entries' loss in one-class matrix factorization. Applicable if LossFunction set to SquareLossOneClass
ApproximationRank	Rank of approximation matrices.
C	Desired negative entries value in one-class matrix factorization. Applicable if LossFunction set to SquareLossOneClass
LabelColumnName	The name variable (i.e., column in a IDataView type system) used as matrix's element value. The column data must be KeyDataViewType.
Lambda	Regularization parameter.
LearningRate	Initial learning rate. It specifies the speed of the training algorithm.
LossFunction	Loss function minimized for finding factor matrices.
MatrixColumnIndexColumnName	The name of variable (i.e., Column in a IDataView type system) used as matrix's column index. The column data must be Single.
MatrixRowIndexColumnName	The name of variable (i.e., column in a IDataView type system) used as matrix's row index. The column data must be KeyDataViewType.
NonNegative	Force the factor matrices to be non-negative.
NumberOfIterations	Number of training iterations.
NumberOfThreads	Number of threads will be used during training. If unspecified all available threads will be use.
Quiet	Suppress writing additional information to output.