SdcaNonCalibratedMulticlassTrainer.Options Class

Definition

Namespace:

Microsoft.ML.Trainers

Assembly:

Microsoft.ML.StandardTrainers.dll

Package:

Microsoft.ML v3.0.1

SdcaNonCalibratedMulticlassTrainer.Options for SdcaNonCalibratedMulticlassTrainer as used in SdcaNonCalibrated(MulticlassClassificationCatalog+MulticlassClassificationTrainers, String, String, String, ISupportSdcaClassificationLoss, Nullable<Single>, Nullable<Single>, Nullable<Int32>).

public sealed class SdcaNonCalibratedMulticlassTrainer.Options : Microsoft.ML.Trainers.SdcaMulticlassTrainerBase<Microsoft.ML.Trainers.LinearMulticlassModelParameters>.MulticlassOptions

type SdcaNonCalibratedMulticlassTrainer.Options = class
    inherit SdcaMulticlassTrainerBase<LinearMulticlassModelParameters>.MulticlassOptions

Public NotInheritable Class SdcaNonCalibratedMulticlassTrainer.Options
Inherits SdcaMulticlassTrainerBase(Of LinearMulticlassModelParameters).MulticlassOptions

Inheritance

Object

TrainerInputBase

TrainerInputBaseWithLabel

TrainerInputBaseWithWeight

SdcaTrainerBase<SdcaMulticlassTrainerBase<TModel>.MulticlassOptions,MulticlassPredictionTransformer<TModel>,TModel>.OptionsBase

SdcaMulticlassTrainerBase<LinearMulticlassModelParameters>.MulticlassOptions

SdcaNonCalibratedMulticlassTrainer.Options

Constructors

SdcaNonCalibratedMulticlassTrainer.Options()

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)

Properties

Loss	Loss function minimized by this trainer.