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SdcaMulticlassTrainerBase<TModel>.MulticlassOptions Class

Definition

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 SdcaMulticlassTrainerBase<'Model (requires 'Model : null)>.MulticlassOptions = class
    inherit SdcaTrainerBase<SdcaMulticlassTrainerBase<'Model>.MulticlassOptions, MulticlassPredictionTransformer<'Model>, 'Model (requires 'Model : null)>.OptionsBase
Public Class SdcaMulticlassTrainerBase(Of TModel).MulticlassOptions
Inherits SdcaTrainerBase(Of SdcaMulticlassTrainerBase(Of TModel).MulticlassOptions, MulticlassPredictionTransformer(Of TModel), TModel).OptionsBase

Type Parameters

TModel
Inheritance
Derived

Constructors

SdcaMulticlassTrainerBase<TModel>.MulticlassOptions()

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