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LbfgsMaximumEntropyMulticlassTrainer.Options Class

Definition

public sealed class LbfgsMaximumEntropyMulticlassTrainer.Options : Microsoft.ML.Trainers.LbfgsTrainerBase<Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options,Microsoft.ML.Data.MulticlassPredictionTransformer<Microsoft.ML.Trainers.MaximumEntropyModelParameters>,Microsoft.ML.Trainers.MaximumEntropyModelParameters>.OptionsBase
type LbfgsMaximumEntropyMulticlassTrainer.Options = class
    inherit LbfgsTrainerBase<LbfgsMaximumEntropyMulticlassTrainer.Options, MulticlassPredictionTransformer<MaximumEntropyModelParameters>, MaximumEntropyModelParameters>.OptionsBase
Public NotInheritable Class LbfgsMaximumEntropyMulticlassTrainer.Options
Inherits LbfgsTrainerBase(Of LbfgsMaximumEntropyMulticlassTrainer.Options, MulticlassPredictionTransformer(Of MaximumEntropyModelParameters), MaximumEntropyModelParameters).OptionsBase
Inheritance

Constructors

LbfgsMaximumEntropyMulticlassTrainer.Options()

Fields

DenseOptimizer

Force densification of the internal optimization vectors. Default is false.

(Inherited from LbfgsTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
EnforceNonNegativity

Enforce non-negative weights. Default is false.

(Inherited from LbfgsTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
ExampleWeightColumnName

Column to use for example weight.

(Inherited from TrainerInputBaseWithWeight)
FeatureColumnName

Column to use for features.

(Inherited from TrainerInputBase)
HistorySize

Number of previous iterations to remember for estimating the Hessian. Lower values mean faster but less accurate estimates.

(Inherited from LbfgsTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
InitialWeightsDiameter

Initial weights scale.

(Inherited from LbfgsTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
L1Regularization

L1 regularization weight.

(Inherited from LbfgsTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
L2Regularization

L2 regularization weight.

(Inherited from LbfgsTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
LabelColumnName

Column to use for labels.

(Inherited from TrainerInputBaseWithLabel)
MaximumNumberOfIterations

Number of iterations.

(Inherited from LbfgsTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
NumberOfThreads

Number of threads. Null means use the number of processors.

(Inherited from LbfgsTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
OptimizationTolerance

Tolerance parameter for optimization convergence. (Low = slower, more accurate).

(Inherited from LbfgsTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
Quiet

Determines whether to produce output during training or not.

(Inherited from LbfgsTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)
ShowTrainingStatistics

If set to true training statistics will be generated at the end of training.

StochasticGradientDescentInitilaizationTolerance

Run SGD to initialize LR weights, converging to this tolerance.

(Inherited from LbfgsTrainerBase<TOptions,TTransformer,TModel>.OptionsBase)

Applies to