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SdcaNonCalibratedBinaryTrainer.Options Class

Definition

public sealed class SdcaNonCalibratedBinaryTrainer.Options : Microsoft.ML.Trainers.SdcaBinaryTrainerBase<Microsoft.ML.Trainers.LinearBinaryModelParameters>.BinaryOptionsBase
type SdcaNonCalibratedBinaryTrainer.Options = class
    inherit SdcaBinaryTrainerBase<LinearBinaryModelParameters>.BinaryOptionsBase
Public NotInheritable Class SdcaNonCalibratedBinaryTrainer.Options
Inherits SdcaBinaryTrainerBase(Of LinearBinaryModelParameters).BinaryOptionsBase
Inheritance

Constructors

SdcaNonCalibratedBinaryTrainer.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)
PositiveInstanceWeight

The weight to be applied to the positive class. This is useful for training with imbalanced data.

(Inherited from SdcaBinaryTrainerBase<TModelParameters>.BinaryOptionsBase)
Shuffle

Determines whether to shuffle data for each training iteration.

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

Properties

LossFunction

The custom loss.

Applies to