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OnlineGradientDescentTrainer.Options Class

Definition

public sealed class OnlineGradientDescentTrainer.Options : Microsoft.ML.Trainers.AveragedLinearOptions
type OnlineGradientDescentTrainer.Options = class
    inherit AveragedLinearOptions
Public NotInheritable Class OnlineGradientDescentTrainer.Options
Inherits AveragedLinearOptions
Inheritance

Constructors

OnlineGradientDescentTrainer.Options()

Create a new OnlineGradientDescentTrainer.Options object with default values.

Fields

Averaged

Determines whether to do averaging or not.

(Inherited from AveragedLinearOptions)
DecreaseLearningRate

Determine whether to decrease the LearningRate or not.

(Inherited from AveragedLinearOptions)
FeatureColumnName

Column to use for features.

(Inherited from TrainerInputBase)
InitialWeightsDiameter

Initial weights and bias scale.

(Inherited from OnlineLinearOptions)
L2Regularization

The L2 weight for regularization.

(Inherited from AveragedLinearOptions)
LabelColumnName

Column to use for labels.

(Inherited from TrainerInputBaseWithLabel)
LazyUpdate

Determines when to update averaged weights.

(Inherited from AveragedLinearOptions)
LearningRate

Learning rate.

(Inherited from AveragedLinearOptions)
NumberOfIterations

Number of passes through the training dataset.

(Inherited from OnlineLinearOptions)
RecencyGain

Extra weight given to more recent updates.

(Inherited from AveragedLinearOptions)
RecencyGainMultiplicative

Determines whether RecencyGain is multiplicative or additive.

(Inherited from AveragedLinearOptions)
ResetWeightsAfterXExamples

Number of examples after which weights will be reset to the current average.

(Inherited from AveragedLinearOptions)
Shuffle

Determines whether to shuffle data for each training iteration.

(Inherited from OnlineLinearOptions)

Properties

LossFunction

A custom loss.

Applies to