LinearSvmTrainer.Options Class

Definition

Namespace:

Microsoft.ML.Trainers

Assembly:

Microsoft.ML.StandardTrainers.dll

Package:

Microsoft.ML v3.0.1

Options for the LinearSvmTrainer as used in LinearSvm(BinaryClassificationCatalog+BinaryClassificationTrainers, LinearSvmTrainer+Options).

public sealed class LinearSvmTrainer.Options : Microsoft.ML.Trainers.OnlineLinearOptions

type LinearSvmTrainer.Options = class
    inherit OnlineLinearOptions

Public NotInheritable Class LinearSvmTrainer.Options
Inherits OnlineLinearOptions

Inheritance

Object

TrainerInputBase

TrainerInputBaseWithLabel

OnlineLinearOptions

LinearSvmTrainer.Options

Constructors

LinearSvmTrainer.Options()

Fields

BatchSize
ExampleWeightColumnName	Column to use for example weight.
FeatureColumnName	Column to use for features. (Inherited from TrainerInputBase)
InitialWeightsDiameter	Initial weights and bias scale. (Inherited from OnlineLinearOptions)
LabelColumnName	Column to use for labels. (Inherited from TrainerInputBaseWithLabel)
Lambda
NoBias
NumberOfIterations	Number of passes through the training dataset. (Inherited from OnlineLinearOptions)
PerformProjection
Shuffle	Determines whether to shuffle data for each training iteration. (Inherited from OnlineLinearOptions)