# MatrixFactorizationTrainer.Options Class

## Definition

public sealed class MatrixFactorizationTrainer.Options
type MatrixFactorizationTrainer.Options = class
Public NotInheritable Class MatrixFactorizationTrainer.Options
Inheritance
MatrixFactorizationTrainer.Options

## Fields

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