From 31ffa97a0aa0d0ab4bac15a43e54c0898541180e Mon Sep 17 00:00:00 2001 From: Zeeshan Siddiqui Date: Sun, 3 Mar 2019 15:02:23 -0800 Subject: [PATCH] merge conflict. --- test/BaselineOutput/Common/EntryPoints/core_ep-list.tsv | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/test/BaselineOutput/Common/EntryPoints/core_ep-list.tsv b/test/BaselineOutput/Common/EntryPoints/core_ep-list.tsv index 65318e7b6c..84c6f24328 100644 --- a/test/BaselineOutput/Common/EntryPoints/core_ep-list.tsv +++ b/test/BaselineOutput/Common/EntryPoints/core_ep-list.tsv @@ -62,14 +62,14 @@ Trainers.LogisticRegressionBinaryClassifier Logistic Regression is a method in s Trainers.LogisticRegressionClassifier Logistic 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.LogisticRegression TrainMultiClass Microsoft.ML.Trainers.MulticlassLogisticRegression+Options Microsoft.ML.EntryPoints.CommonOutputs+MulticlassClassificationOutput Trainers.NaiveBayesClassifier Train a MultiClassNaiveBayesTrainer. Microsoft.ML.Trainers.MultiClassNaiveBayesTrainer TrainMultiClassNaiveBayesTrainer Microsoft.ML.Trainers.MultiClassNaiveBayesTrainer+Options Microsoft.ML.EntryPoints.CommonOutputs+MulticlassClassificationOutput Trainers.OnlineGradientDescentRegressor Train a Online gradient descent perceptron. Microsoft.ML.Trainers.OnlineGradientDescentTrainer TrainRegression Microsoft.ML.Trainers.OnlineGradientDescentTrainer+Options Microsoft.ML.EntryPoints.CommonOutputs+RegressionOutput -Trainers.OrdinaryLeastSquaresRegressor Train an OLS regression model. Microsoft.ML.Trainers.OlsLinearRegressionTrainer TrainRegression Microsoft.ML.Trainers.OlsLinearRegressionTrainer+Options Microsoft.ML.EntryPoints.CommonOutputs+RegressionOutput +Trainers.OrdinaryLeastSquaresRegressor Train an OLS regression model. Microsoft.ML.Trainers.OrdinaryLeastSquaresRegressionTrainer TrainRegression Microsoft.ML.Trainers.OrdinaryLeastSquaresRegressionTrainer+Options Microsoft.ML.EntryPoints.CommonOutputs+RegressionOutput Trainers.PcaAnomalyDetector Train an PCA Anomaly model. Microsoft.ML.Trainers.RandomizedPcaTrainer TrainPcaAnomaly Microsoft.ML.Trainers.RandomizedPcaTrainer+Options Microsoft.ML.EntryPoints.CommonOutputs+AnomalyDetectionOutput Trainers.PoissonRegressor Train an Poisson regression model. Microsoft.ML.Trainers.PoissonRegression TrainRegression Microsoft.ML.Trainers.PoissonRegression+Options Microsoft.ML.EntryPoints.CommonOutputs+RegressionOutput Trainers.StochasticDualCoordinateAscentBinaryClassifier Train an SDCA binary model. Microsoft.ML.Trainers.Sdca TrainBinary Microsoft.ML.Trainers.LegacySdcaBinaryTrainer+Options Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput Trainers.StochasticDualCoordinateAscentClassifier The SDCA linear multi-class classification trainer. Microsoft.ML.Trainers.Sdca TrainMultiClass Microsoft.ML.Trainers.SdcaMultiClassTrainer+Options Microsoft.ML.EntryPoints.CommonOutputs+MulticlassClassificationOutput Trainers.StochasticDualCoordinateAscentRegressor The SDCA linear regression trainer. Microsoft.ML.Trainers.Sdca TrainRegression Microsoft.ML.Trainers.SdcaRegressionTrainer+Options Microsoft.ML.EntryPoints.CommonOutputs+RegressionOutput Trainers.StochasticGradientDescentBinaryClassifier Train an Hogwild SGD binary model. Microsoft.ML.Trainers.LegacySgdBinaryTrainer TrainBinary Microsoft.ML.Trainers.LegacySgdBinaryTrainer+Options Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput -Trainers.SymSgdBinaryClassifier Train a symbolic SGD. Microsoft.ML.Trainers.SymSgdClassificationTrainer TrainSymSgd Microsoft.ML.Trainers.SymSgdClassificationTrainer+Options Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput +Trainers.SymSgdBinaryClassifier Train a symbolic SGD. Microsoft.ML.Trainers.SymbolicStochasticGradientDescentClassificationTrainer TrainSymSgd Microsoft.ML.Trainers.SymbolicStochasticGradientDescentClassificationTrainer+Options Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput Transforms.ApproximateBootstrapSampler Approximate bootstrap sampling. Microsoft.ML.Transforms.BootstrapSample GetSample Microsoft.ML.Transforms.BootstrapSamplingTransformer+Options Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput Transforms.BinaryPredictionScoreColumnsRenamer For binary prediction, it renames the PredictedLabel and Score columns to include the name of the positive class. Microsoft.ML.EntryPoints.ScoreModel RenameBinaryPredictionScoreColumns Microsoft.ML.EntryPoints.ScoreModel+RenameBinaryPredictionScoreColumnsInput Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput Transforms.BinNormalizer The values are assigned into equidensity bins and a value is mapped to its bin_number/number_of_bins. Microsoft.ML.Data.Normalize Bin Microsoft.ML.Transforms.NormalizeTransform+BinArguments Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput