Microsoft.ML.Trainers
AveragedLinearOptions- AveragedLinearTrainer<TTransformer, TModel>
- AveragedPerceptronTrainer
- CoefficientStatistics
- ComputeLogisticRegressionStandardDeviation
- ComputeLRTrainingStdThroughMkl
- ExpLoss
- ExponentialLRDecay
- FeatureContributionCalculator
- FieldAwareFactorizationMachineModelParameters
- FieldAwareFactorizationMachinePredictionTransformer
- FieldAwareFactorizationMachineTrainer
- HingeLoss
ICalculateFeatureContribution- IClassificationLoss
- ILossFunction<TOutput, TLabel>
- IRegressionLoss
- IScalarLoss
- ISupportSdcaClassificationLoss
- ISupportSdcaLoss
- ISupportSdcaRegressionLoss
- ITrainerEstimator<TTransformer, TModel>
- KMeansModelParameters
- KMeansTrainer
- LbfgsLogisticRegressionBinaryTrainer
- LbfgsMaximumEntropyMulticlassTrainer
- LbfgsPoissonRegressionTrainer
- LbfgsTrainerBase<TOptions, TTransformer, TModel>
- LdSvmModelParameters
- LdSvmTrainer
- LearningRateScheduler
- LinearBinaryModelParameters
- LinearModelParameters
- LinearModelParameterStatistics
- LinearMulticlassModelParameters
- LinearMulticlassModelParametersBase
- LinearRegressionModelParameters
- LinearSvmTrainer
- LinearTrainerBase<TTransformer, TModel>
- LogLoss
- LsrDecay
- MatrixFactorizationTrainer
- MaximumEntropyModelParameters
- MetaMulticlassTrainer<TTransformer, TModel>
- ModelParametersBase<TOutput>
- ModelStatisticsBase
- NaiveBayesMulticlassModelParameters
- NaiveBayesMulticlassTrainer
- OlsModelParameters
- OlsTrainer
- OneVersusAllModelParameters
- OneVersusAllTrainer
- OnlineGradientDescentTrainer
- OnlineLinearOptions
- OnlineLinearTrainer<TTransformer, TModel>
- PairwiseCouplingModelParameters
- PairwiseCouplingTrainer
- PcaModelParameters
- PoissonLoss
- PoissonRegressionModelParameters
- PolynomialLRDecay
- PriorModelParameters
- PriorTrainer
- RandomizedPcaTrainer
- RegressionModelParameters
- SdcaBinaryTrainerBase<TModelParameters>
- SdcaLogisticRegressionBinaryTrainer
- SdcaMaximumEntropyMulticlassTrainer
- SdcaMulticlassTrainerBase<TModel>
- SdcaNonCalibratedBinaryTrainer
- SdcaNonCalibratedMulticlassTrainer
- SdcaRegressionTrainer
- SdcaTrainerBase<TOptions, TTransformer, TModel>
- SgdBinaryTrainerBase<TModel>
- SgdCalibratedTrainer
- SgdNonCalibratedTrainer
- SmoothedHingeLoss
- SquaredLoss
- StochasticTrainerBase<TTransformer, TModel>
- SymbolicSgdLogisticRegressionBinaryTrainer
- TrainerEstimatorBase<TTransformer, TModel>
- TrainerEstimatorBaseWithGroupId<TTransformer, TModel>
- TrainerInputBase
- TrainerInputBaseWithGroupId
- TrainerInputBaseWithLabel
- TrainerInputBaseWithWeight
- TweedieLoss
- UnsupervisedTrainerInputBaseWithWeight
net10.0-windows7.0
namespace Microsoft.ML.Trainers
| nuget.org | 0.0 % Reference this API 0.0 % Derive from this class or interface 0.0 % Read field 0.0 % Write field |
|---|---|
| Upgrade Planner | 0.0 % Reference this API |
| .NET | 5.06.07.08.09.010.0 |
| .NET Core | 2.02.12.23.03.1 |
| .NET Framework | 4.6.14.6.24.74.7.14.7.24.84.8.1 |
| .NET Standard | 2.02.1 |
Information specific to net10.0 | |
| Platforms | This API is only available when you target a specific platform: |
| Windows | 7.0 |
Information specific to net10.0-windows7.0 | |
| Assemblies | Microsoft.ML.Data , Version=1.0.0.0, PublicKeyToken=cc7b13ffcd2ddd51 Microsoft.ML.PCA , Version=1.0.0.0, PublicKeyToken=cc7b13ffcd2ddd51 Microsoft.ML.Mkl.Components , Version=1.0.0.0, PublicKeyToken=cc7b13ffcd2ddd51 Microsoft.ML.StandardTrainers , Version=1.0.0.0, PublicKeyToken=cc7b13ffcd2ddd51 Microsoft.ML.Recommender , Version=1.0.0.0, PublicKeyToken=cc7b13ffcd2ddd51 Microsoft.ML.KMeansClustering , Version=1.0.0.0, PublicKeyToken=cc7b13ffcd2ddd51 |
| Referencing | Requires any:
|
| Package | Microsoft.ML (5.0.0-preview.1.25127.4) netstandard2.0 |
- Built-in API
- Package-provided API