MatrixFactorizationTrainer.Options Class
Definition
Important
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Options for the MatrixFactorizationTrainer as used in MatrixFactorization(Options).
public sealed class MatrixFactorizationTrainer.Optionstype MatrixFactorizationTrainer.Options = classPublic NotInheritable Class MatrixFactorizationTrainer.Options- Inheritance
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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. |