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LinearSvmTrainer.Options Class

  • Reference

Definition

Namespace:
Microsoft.ML.Trainers
Assembly:
Microsoft.ML.StandardTrainers.dll
Package:
Microsoft.ML v3.0.1
Package:
Microsoft.ML v1.0.0
Package:
Microsoft.ML v1.1.0
Package:
Microsoft.ML v1.2.0
Package:
Microsoft.ML v1.3.1
Package:
Microsoft.ML v1.4.0
Package:
Microsoft.ML v1.5.5
Package:
Microsoft.ML v1.6.0
Package:
Microsoft.ML v1.7.0
Package:
Microsoft.ML v2.0.0

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)

Applies to