SdcaMulticlassTrainerBase<TModel>.MulticlassOptions Class

Definition

C#
public class SdcaMulticlassTrainerBase<TModel>.MulticlassOptions : Microsoft.ML.Trainers.SdcaTrainerBase<Microsoft.ML.Trainers.SdcaMulticlassTrainerBase<TModel>.MulticlassOptions,Microsoft.ML.Data.MulticlassPredictionTransformer<TModel>,TModel>.OptionsBase where TModel : class

Type Parameters

TModel
Inheritance
Derived

Constructors

Fields

BiasLearningRate

The learning rate for adjusting bias from being regularized.

(Inherited from SdcaTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
ConvergenceCheckFrequency

Determines the frequency of checking for convergence in terms of number of iterations.

(Inherited from SdcaTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
ConvergenceTolerance

The tolerance for the ratio between duality gap and primal loss for convergence checking.

(Inherited from SdcaTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
ExampleWeightColumnName

Column to use for example weight.

(Inherited from TrainerInputBaseWithWeight)
FeatureColumnName

Column to use for features.

(Inherited from TrainerInputBase)
L1Regularization

The L1 regularization hyperparameter.

(Inherited from SdcaTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
L2Regularization

The L2 regularization hyperparameter.

(Inherited from SdcaTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
LabelColumnName

Column to use for labels.

(Inherited from TrainerInputBaseWithLabel)
MaximumNumberOfIterations

The maximum number of passes to perform over the data.

(Inherited from SdcaTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
NumberOfThreads

The degree of lock-free parallelism.

(Inherited from SdcaTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
Shuffle

Determines whether to shuffle data for each training iteration.

(Inherited from SdcaTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)

Applies to

Product Versions
ML.NET 1.0.0, 1.1.0, 1.2.0, 1.3.1, 1.4.0, 1.5.0, 1.6.0, 1.7.0, 2.0.0, 3.0.0, Preview, 4.0.0