AveragedLinearOptions Class

Definition

Namespace:

Microsoft.ML.Trainers

Assembly:

Microsoft.ML.StandardTrainers.dll

Package:

Microsoft.ML v3.0.1

Arguments class for averaged linear trainers.

public abstract class AveragedLinearOptions : Microsoft.ML.Trainers.OnlineLinearOptions

type AveragedLinearOptions = class
    inherit OnlineLinearOptions

Public MustInherit Class AveragedLinearOptions
Inherits OnlineLinearOptions

Inheritance

Object

TrainerInputBase

TrainerInputBaseWithLabel

OnlineLinearOptions

AveragedLinearOptions

Derived

Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options

Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options

Constructors

AveragedLinearOptions()

Fields

Averaged	Determines whether to do averaging or not.
DecreaseLearningRate	Determine whether to decrease the LearningRate or not.
FeatureColumnName	Column to use for features. (Inherited from TrainerInputBase)
InitialWeightsDiameter	Initial weights and bias scale. (Inherited from OnlineLinearOptions)
L2Regularization	The L2 weight for regularization.
LabelColumnName	Column to use for labels. (Inherited from TrainerInputBaseWithLabel)
LazyUpdate	Determines when to update averaged weights.
LearningRate	Learning rate.
NumberOfIterations	Number of passes through the training dataset. (Inherited from OnlineLinearOptions)
RecencyGain	Extra weight given to more recent updates.
RecencyGainMultiplicative	Determines whether RecencyGain is multiplicative or additive.
ResetWeightsAfterXExamples	Number of examples after which weights will be reset to the current average.
Shuffle	Determines whether to shuffle data for each training iteration. (Inherited from OnlineLinearOptions)