merge conflict.

Author: codemzs

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