LbfgsMaximumEntropyMulticlassTrainer.Options Class
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
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
الملاحظات
https://aka.ms/ContentUserFeedback.
قريبًا: خلال عام 2024، سنتخلص تدريجيًا من GitHub Issues بوصفها آلية إرسال ملاحظات للمحتوى ونستبدلها بنظام ملاحظات جديد. لمزيد من المعلومات، راجعإرسال الملاحظات وعرضها المتعلقة بـ