MulticlassClassificationTrainers
LbfgsMaximumEntropy(MulticlassClassificationTrainers, Options)
LbfgsMaximumEntropy(MulticlassClassificationTrainers, String, String, String, Single, Single, Single, Int32, Boolean)
LbfgsMaximumEntropy<TVal>(MulticlassClassificationTrainers, Key<UInt32, TVal>, Vector<Single>, Scalar<Single>, Options, Action<MaximumEntropyModelParameters>)
LbfgsMaximumEntropy<TVal>(MulticlassClassificationTrainers, Key<UInt32, TVal>, Vector<Single>, Scalar<Single>, Single, Single, Single, Int32, Boolean, Action<MaximumEntropyModelParameters>)
LightGbm(MulticlassClassificationTrainers, Options)
LightGbm(MulticlassClassificationTrainers, Stream, String)
LightGbm(MulticlassClassificationTrainers, String, String, String, Int32?, Int32?, Double?, Int32)
MulticlassNaiveBayesTrainer<TVal>(MulticlassClassificationTrainers, Key<UInt32, TVal>, Vector<Single>, Action<NaiveBayesMulticlassModelParameters>)
NaiveBayes(MulticlassClassificationTrainers, String, String)
NamedEntityRecognition(MulticlassClassificationTrainers, NerOptions)
NamedEntityRecognition(MulticlassClassificationTrainers, String, String, String, Int32, Int32, BertArchitecture, IDataView)
NameEntityRecognition(MulticlassClassificationTrainers, NerOptions)
NameEntityRecognition(MulticlassClassificationTrainers, String, String, String, Int32, Int32, BertArchitecture, IDataView)
ObjectDetection(MulticlassClassificationTrainers, Options)
ObjectDetection(MulticlassClassificationTrainers, String, String, String, String, String, String, Int32)
OneVersusAll<TModel>(MulticlassClassificationTrainers, ITrainerEstimator<BinaryPredictionTransformer<TModel>, TModel>, String, Boolean, IEstimator<ISingleFeaturePredictionTransformer<ICalibrator>>, Int32, Boolean)
PairwiseCoupling<TModel>(MulticlassClassificationTrainers, ITrainerEstimator<ISingleFeaturePredictionTransformer<TModel>, TModel>, String, Boolean, IEstimator<ISingleFeaturePredictionTransformer<ICalibrator>>, Int32)
QuestionAnswer(MulticlassClassificationTrainers, Options)
QuestionAnswer(MulticlassClassificationTrainers, String, String, String, String, String, String, Int32, Int32, Int32, BertArchitecture, IDataView)
Sdca<TVal>(MulticlassClassificationTrainers, Key<UInt32, TVal>, Vector<Single>, Scalar<Single>, Options, Action<MaximumEntropyModelParameters>)
Sdca<TVal>(MulticlassClassificationTrainers, Key<UInt32, TVal>, Vector<Single>, Scalar<Single>, Nullable<Single>, Nullable<Single>, Nullable<Int32>, Action<MaximumEntropyModelParameters>)
SdcaMaximumEntropy(MulticlassClassificationTrainers, Options)
SdcaMaximumEntropy(MulticlassClassificationTrainers, String, String, String, Single?, Single?, Int32?)
SdcaNonCalibrated(MulticlassClassificationTrainers, Options)
SdcaNonCalibrated(MulticlassClassificationTrainers, String, String, String, ISupportSdcaClassificationLoss, Single?, Single?, Int32?)
SdcaNonCalibrated<TVal>(MulticlassClassificationTrainers, Key<UInt32, TVal>, Vector<Single>, Scalar<Single>, Options, Action<LinearMulticlassModelParameters>)
SdcaNonCalibrated<TVal>(MulticlassClassificationTrainers, Key<UInt32, TVal>, Vector<Single>, ISupportSdcaClassificationLoss, Scalar<Single>, Nullable<Single>, Nullable<Single>, Nullable<Int32>, Action<LinearMulticlassModelParameters>)
TextClassification(MulticlassClassificationTrainers, TextClassificationOptions)
TextClassification(MulticlassClassificationTrainers, String, String, String, String, String, Int32, Int32, BertArchitecture, IDataView)
net48
namespace Microsoft.ML
{
public static class StandardTrainersCatalog
{
public static OneVersusAllTrainer OneVersusAll<TModel>(this MulticlassClassificationTrainers catalog, ITrainerEstimator<BinaryPredictionTransformer<TModel>, TModel> binaryEstimator, string labelColumnName = "Label", bool imputeMissingLabelsAsNegative = false, IEstimator<ISingleFeaturePredictionTransformer<ICalibrator>> calibrator = null, int maximumCalibrationExampleCount = 1000000000, bool useProbabilities = true)
where TModel, class;
}
}
.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 net48 | |
Assembly | Microsoft.ML.StandardTrainers , Version=1.0.0.0, PublicKeyToken=cc7b13ffcd2ddd51 |
Referencing | Your project needs a package reference to |
Package | Microsoft.ML (5.0.0-preview.1.25127.4) netstandard2.0 |
Platform Restrictions | This framework does not have platform annotations. |
- Built-in API
- Package-provided API