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Copy file name to clipboardExpand all lines: test/BaselineOutput/Common/EntryPoints/core_ep-list.tsv
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@@ -62,7 +62,7 @@ Trainers.LogisticRegressionBinaryClassifier Logistic Regression is a method in s
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Trainers.LogisticRegressionClassifierLogistic Regression is a method in statistics used to predict the probability of occurrence of an event and can be used as a classification algorithm. The algorithm predicts the probability of occurrence of an event by fitting data to a logistical function.Microsoft.ML.Trainers.LogisticRegressionTrainMultiClassMicrosoft.ML.Trainers.MulticlassLogisticRegression+OptionsMicrosoft.ML.EntryPoints.CommonOutputs+MulticlassClassificationOutput
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Trainers.NaiveBayesClassifierTrain a MultiClassNaiveBayesTrainer.Microsoft.ML.Trainers.MultiClassNaiveBayesTrainerTrainMultiClassNaiveBayesTrainerMicrosoft.ML.Trainers.MultiClassNaiveBayesTrainer+OptionsMicrosoft.ML.EntryPoints.CommonOutputs+MulticlassClassificationOutput
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Trainers.OnlineGradientDescentRegressorTrain a Online gradient descent perceptron.Microsoft.ML.Trainers.OnlineGradientDescentTrainerTrainRegressionMicrosoft.ML.Trainers.OnlineGradientDescentTrainer+OptionsMicrosoft.ML.EntryPoints.CommonOutputs+RegressionOutput
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Trainers.OrdinaryLeastSquaresRegressorTrain an OLS regression model.Microsoft.ML.Trainers.HalLearners.OlsLinearRegressionTrainerTrainRegressionMicrosoft.ML.Trainers.HalLearners.OlsLinearRegressionTrainer+OptionsMicrosoft.ML.EntryPoints.CommonOutputs+RegressionOutput
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Trainers.OrdinaryLeastSquaresRegressorTrain an OLS regression model.Microsoft.ML.Trainers.HalLearners.OrdinaryLeastSquaresRegressionTrainerTrainRegressionMicrosoft.ML.Trainers.HalLearners.OrdinaryLeastSquaresRegressionTrainer+OptionsMicrosoft.ML.EntryPoints.CommonOutputs+RegressionOutput
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Trainers.PcaAnomalyDetectorTrain an PCA Anomaly model.Microsoft.ML.Trainers.RandomizedPcaTrainerTrainPcaAnomalyMicrosoft.ML.Trainers.RandomizedPcaTrainer+OptionsMicrosoft.ML.EntryPoints.CommonOutputs+AnomalyDetectionOutput
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Trainers.PoissonRegressorTrain an Poisson regression model.Microsoft.ML.Trainers.PoissonRegressionTrainRegressionMicrosoft.ML.Trainers.PoissonRegression+OptionsMicrosoft.ML.EntryPoints.CommonOutputs+RegressionOutput
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Trainers.StochasticDualCoordinateAscentBinaryClassifierTrain an SDCA binary model.Microsoft.ML.Trainers.SdcaTrainBinaryMicrosoft.ML.Trainers.LegacySdcaBinaryTrainer+OptionsMicrosoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput
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