Fix entry point name for Logistic Regression (LogisticRegressor is misleading) (#139)

* Fix name for Logistic Regression

Author: GalOshri

ZBaselines/Common/EntryPoints/core_ep-list.tsv

@@ -23,7 +23,6 @@ Models.Summarizer	Summarize a linear regression predictor.	Microsoft.ML.Runtime.
 Models.TrainTestBinaryEvaluator	Train test for binary classification	Microsoft.ML.Runtime.EntryPoints.TrainTestBinaryMacro	TrainTestBinary	Microsoft.ML.Runtime.EntryPoints.TrainTestBinaryMacro+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+MacroOutput`1[Microsoft.ML.Runtime.EntryPoints.TrainTestBinaryMacro+Output]
 Models.TrainTestEvaluator	General train test for any supported evaluator	Microsoft.ML.Runtime.EntryPoints.TrainTestMacro	TrainTest	Microsoft.ML.Runtime.EntryPoints.TrainTestMacro+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+MacroOutput`1[Microsoft.ML.Runtime.EntryPoints.TrainTestMacro+Output]
 Trainers.AveragedPerceptronBinaryClassifier	Train a Average perceptron.	Microsoft.ML.Runtime.Learners.AveragedPerceptronTrainer	TrainBinary	Microsoft.ML.Runtime.Learners.AveragedPerceptronTrainer+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+BinaryClassificationOutput
-Trainers.BinaryLogisticRegressor	Train a logistic regression binary model	Microsoft.ML.Runtime.Learners.LogisticRegression	TrainBinary	Microsoft.ML.Runtime.Learners.LogisticRegression+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+BinaryClassificationOutput
 Trainers.FastForestBinaryClassifier	Uses a random forest learner to perform binary classification.	Microsoft.ML.Runtime.FastTree.FastForest	TrainBinary	Microsoft.ML.Runtime.FastTree.FastForestClassification+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+BinaryClassificationOutput
 Trainers.FastForestRegressor	Trains a random forest to fit target values using least-squares.	Microsoft.ML.Runtime.FastTree.FastForest	TrainRegression	Microsoft.ML.Runtime.FastTree.FastForestRegression+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+RegressionOutput
 Trainers.FastTreeBinaryClassifier	Uses a logit-boost boosted tree learner to perform binary classification.	Microsoft.ML.Runtime.FastTree.FastTree	TrainBinary	Microsoft.ML.Runtime.FastTree.FastTreeBinaryClassificationTrainer+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+BinaryClassificationOutput
@@ -34,7 +33,8 @@ Trainers.GeneralizedAdditiveModelBinaryClassifier	Trains a gradient boosted stum
 Trainers.GeneralizedAdditiveModelRegressor	Trains a gradient boosted stump per feature, on all features simultaneously, to fit target values using least-squares. It mantains no interactions between features.	Microsoft.ML.Runtime.FastTree.Gam	TrainRegression	Microsoft.ML.Runtime.FastTree.RegressionGamTrainer+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+RegressionOutput
 Trainers.KMeansPlusPlusClusterer	K-means is a popular clustering algorithm. With K-means, the data is clustered into a specified number of clusters in order to minimize the within-cluster sum of squares. K-means++ improves upon K-means by using a better method for choosing the initial cluster centers.	Microsoft.ML.Runtime.KMeans.KMeansPlusPlusTrainer	TrainKMeans	Microsoft.ML.Runtime.KMeans.KMeansPlusPlusTrainer+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+ClusteringOutput
 Trainers.LinearSvmBinaryClassifier	Train a linear SVM.	Microsoft.ML.Runtime.Learners.LinearSvm	TrainLinearSvm	Microsoft.ML.Runtime.Learners.LinearSvm+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+BinaryClassificationOutput
-Trainers.LogisticRegressor	Train a logistic regression multi class model	Microsoft.ML.Runtime.Learners.LogisticRegression	TrainMultiClass	Microsoft.ML.Runtime.Learners.MulticlassLogisticRegression+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+MulticlassClassificationOutput
+Trainers.LogisticRegressionBinaryClassifier	Train a logistic regression binary model	Microsoft.ML.Runtime.Learners.LogisticRegression	TrainBinary	Microsoft.ML.Runtime.Learners.LogisticRegression+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+BinaryClassificationOutput
+Trainers.LogisticRegressionClassifier	Train a logistic regression multi class model	Microsoft.ML.Runtime.Learners.LogisticRegression	TrainMultiClass	Microsoft.ML.Runtime.Learners.MulticlassLogisticRegression+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+MulticlassClassificationOutput
 Trainers.NaiveBayesClassifier	Train a MultiClassNaiveBayesTrainer.	Microsoft.ML.Runtime.Learners.MultiClassNaiveBayesTrainer	TrainMultiClassNaiveBayesTrainer	Microsoft.ML.Runtime.Learners.MultiClassNaiveBayesTrainer+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+MulticlassClassificationOutput
 Trainers.OnlineGradientDescentRegressor	Train a Online gradient descent perceptron.	Microsoft.ML.Runtime.Learners.OnlineGradientDescentTrainer	TrainRegression	Microsoft.ML.Runtime.Learners.OnlineGradientDescentTrainer+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+RegressionOutput
 Trainers.OrdinaryLeastSquaresRegressor	Train an OLS regression model.	Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer	TrainRegression	Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer+Arguments	Microsoft.ML.Runtime.EntryPoints.CommonOutputs+RegressionOutput