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SgdNonCalibratedTrainer.Options Class

Definition

public sealed class SgdNonCalibratedTrainer.Options : Microsoft.ML.Trainers.SgdBinaryTrainerBase<Microsoft.ML.Trainers.LinearBinaryModelParameters>.OptionsBase
type SgdNonCalibratedTrainer.Options = class
    inherit SgdBinaryTrainerBase<LinearBinaryModelParameters>.OptionsBase
Public NotInheritable Class SgdNonCalibratedTrainer.Options
Inherits SgdBinaryTrainerBase(Of LinearBinaryModelParameters).OptionsBase
Inheritance

Constructors

SgdNonCalibratedTrainer.Options()

Fields

CheckFrequency

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

(Inherited from SgdBinaryTrainerBase<TModel>.OptionsBase)
ConvergenceTolerance

The convergence tolerance. If the exponential moving average of loss reductions falls below this tolerance, the algorithm is deemed to have converged and will stop.

(Inherited from SgdBinaryTrainerBase<TModel>.OptionsBase)
ExampleWeightColumnName

Column to use for example weight.

(Inherited from TrainerInputBaseWithWeight)
FeatureColumnName

Column to use for features.

(Inherited from TrainerInputBase)
L2Regularization

The L2 weight for regularization.

(Inherited from SgdBinaryTrainerBase<TModel>.OptionsBase)
LabelColumnName

Column to use for labels.

(Inherited from TrainerInputBaseWithLabel)
LearningRate

The initial learning rate used by SGD.

(Inherited from SgdBinaryTrainerBase<TModel>.OptionsBase)
LossFunction

The loss function to use. Default is LogLoss.

NumberOfIterations

The maximum number of passes through the training dataset.

(Inherited from SgdBinaryTrainerBase<TModel>.OptionsBase)
NumberOfThreads

The degree of lock-free parallelism used by SGD.

(Inherited from SgdBinaryTrainerBase<TModel>.OptionsBase)
PositiveInstanceWeight

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

(Inherited from SgdBinaryTrainerBase<TModel>.OptionsBase)
Shuffle

Determines whether to shuffle data for each training iteration.

(Inherited from SgdBinaryTrainerBase<TModel>.OptionsBase)

Applies to