LightGbm(MulticlassClassificationCatalog+MulticlassClassificationTrainers, LightGbmMulticlassTrainer+Options)
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Create LightGbmMulticlassTrainer with advanced options, which predicts a target using a gradient boosting decision tree multiclass classification model.
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LightGbm(MulticlassClassificationCatalog+MulticlassClassificationTrainers, Stream, String)
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Create LightGbmMulticlassTrainer from a pre-trained LightGBM model, which predicts a target using a gradient boosting decision tree multiclass classification model.
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LightGbm(MulticlassClassificationCatalog+MulticlassClassificationTrainers,
String, String, String, Nullable<Int32>, Nullable<Int32>, Nullable<Double>,
Int32)
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Create LightGbmMulticlassTrainer, which predicts a target using a gradient boosting decision tree multiclass classification model.
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LbfgsMaximumEntropy(MulticlassClassificationCatalog+MulticlassClassificationTrainers, LbfgsMaximumEntropyMulticlassTrainer+Options)
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Create LbfgsMaximumEntropyMulticlassTrainer with advanced options, which predicts a target using a maximum entropy classification model trained with the L-BFGS method.
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LbfgsMaximumEntropy(MulticlassClassificationCatalog+MulticlassClassificationTrainers, String, String, String, Single, Single, Single, Int32, Boolean)
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Create LbfgsMaximumEntropyMulticlassTrainer, which predicts a target using a maximum entropy classification model trained with the L-BFGS method.
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NaiveBayes(MulticlassClassificationCatalog+MulticlassClassificationTrainers, String, String)
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Create a NaiveBayesMulticlassTrainer, which predicts a multiclass target using a Naive Bayes model
that supports binary feature values.
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OneVersusAll<TModel>(MulticlassClassificationCatalog+MulticlassClassificationTrainers,
ITrainerEstimator<BinaryPredictionTransformer<TModel>,TModel>,
String, Boolean, IEstimator<ISingleFeaturePredictionTransformer<ICalibrator>>,
Int32, Boolean)
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Create a OneVersusAllTrainer, which predicts a multiclass target using one-versus-all strategy with
the binary classification estimator specified by binaryEstimator .
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PairwiseCoupling<TModel>(MulticlassClassificationCatalog+MulticlassClassificationTrainers,
ITrainerEstimator<ISingleFeaturePredictionTransformer<TModel>,
TModel>, String, Boolean, IEstimator<ISingleFeaturePredictionTransformer<ICalibrator>>,
Int32)
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Create a PairwiseCouplingTrainer, which predicts a multiclass target using pairwise coupling strategy with
the binary classification estimator specified by binaryEstimator .
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SdcaMaximumEntropy(MulticlassClassificationCatalog+MulticlassClassificationTrainers, SdcaMaximumEntropyMulticlassTrainer+Options)
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Create SdcaMaximumEntropyMulticlassTrainer with advanced options, which predicts a target using a maximum entropy classification model trained with a coordinate descent method.
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SdcaMaximumEntropy(MulticlassClassificationCatalog+MulticlassClassificationTrainers,
String, String, String, Nullable<Single>, Nullable<Single>, Nullable<Int32>)
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Create SdcaMaximumEntropyMulticlassTrainer, which predicts a target using a maximum entropy classification model trained with a coordinate descent method.
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SdcaNonCalibrated(MulticlassClassificationCatalog+MulticlassClassificationTrainers, SdcaNonCalibratedMulticlassTrainer+Options)
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Create SdcaNonCalibratedMulticlassTrainer with advanced options, which predicts a target using a linear multiclass classification model trained with a coordinate descent method.
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SdcaNonCalibrated(MulticlassClassificationCatalog+MulticlassClassificationTrainers,
String, String, String, ISupportSdcaClassificationLoss, Nullable<Single>,
Nullable<Single>, Nullable<Int32>)
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Create SdcaNonCalibratedMulticlassTrainer, which predicts a target using a linear multiclass classification model trained with a coordinate descent method.
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ImageClassification(MulticlassClassificationCatalog+MulticlassClassificationTrainers, ImageClassificationTrainer+Options)
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Create ImageClassificationTrainer using advanced options, which trains a Deep Neural Network(DNN) to classify images.
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ImageClassification(MulticlassClassificationCatalog+MulticlassClassificationTrainers, String, String, String, String, IDataView)
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Create ImageClassificationTrainer, which trains a Deep Neural Network(DNN) to classify images.
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