LinearSvmTrainer.Options Class
Definition
Important
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Options for the LinearSvmTrainer as used in LinearSvm(BinaryClassificationCatalog+BinaryClassificationTrainers, LinearSvmTrainer+Options).
public sealed class LinearSvmTrainer.Options : Microsoft.ML.Trainers.OnlineLinearOptionstype LinearSvmTrainer.Options = class
inherit OnlineLinearOptionsPublic NotInheritable Class LinearSvmTrainer.Options
Inherits OnlineLinearOptions- Inheritance
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) |