merge fix

test/BaselineOutput/Common/EntryPoints/core_ep-list.tsv

@@ -53,10 +53,10 @@ Trainers.FieldAwareFactorizationMachineBinaryClassifier	Train a field-aware fact
 Trainers.GeneralizedAdditiveModelBinaryClassifier	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.Trainers.FastTree.Gam	TrainBinary	Microsoft.ML.Trainers.FastTree.GamBinaryClassificationTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput
 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.Trainers.FastTree.Gam	TrainRegression	Microsoft.ML.Trainers.FastTree.GamRegressionTrainer+Options	Microsoft.ML.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.Trainers.KMeansTrainer	TrainKMeans	Microsoft.ML.Trainers.KMeansTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+ClusteringOutput
-Trainers.LightGbmBinaryClassifier	Train a LightGBM binary classification model.	Microsoft.ML.LightGBM.LightGbm	TrainBinary	Microsoft.ML.LightGBM.Options	Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput
-Trainers.LightGbmClassifier	Train a LightGBM multi class model.	Microsoft.ML.LightGBM.LightGbm	TrainMulticlass	Microsoft.ML.LightGBM.Options	Microsoft.ML.EntryPoints.CommonOutputs+MulticlassClassificationOutput
-Trainers.LightGbmRanker	Train a LightGBM ranking model.	Microsoft.ML.LightGBM.LightGbm	TrainRanking	Microsoft.ML.LightGBM.Options	Microsoft.ML.EntryPoints.CommonOutputs+RankingOutput
-Trainers.LightGbmRegressor	LightGBM Regression	Microsoft.ML.LightGBM.LightGbm	TrainRegression	Microsoft.ML.LightGBM.Options	Microsoft.ML.EntryPoints.CommonOutputs+RegressionOutput
+Trainers.LightGbmBinaryClassifier	Train a LightGBM binary classification model.	Microsoft.ML.Trainers.LightGbm.LightGbm	TrainBinary	Microsoft.ML.Trainers.LightGbm.Options	Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput
+Trainers.LightGbmClassifier	Train a LightGBM multi class model.	Microsoft.ML.Trainers.LightGbm.LightGbm	TrainMulticlass	Microsoft.ML.Trainers.LightGbm.Options	Microsoft.ML.EntryPoints.CommonOutputs+MulticlassClassificationOutput
+Trainers.LightGbmRanker	Train a LightGBM ranking model.	Microsoft.ML.Trainers.LightGbm.LightGbm	TrainRanking	Microsoft.ML.Trainers.LightGbm.Options	Microsoft.ML.EntryPoints.CommonOutputs+RankingOutput
+Trainers.LightGbmRegressor	LightGBM Regression	Microsoft.ML.Trainers.LightGbm.LightGbm	TrainRegression	Microsoft.ML.Trainers.LightGbm.Options	Microsoft.ML.EntryPoints.CommonOutputs+RegressionOutput
 Trainers.LinearSvmBinaryClassifier	Train a linear SVM.	Microsoft.ML.Trainers.LinearSvmTrainer	TrainLinearSvm	Microsoft.ML.Trainers.LinearSvmTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput
 Trainers.LogisticRegressionBinaryClassifier	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.LogisticRegressionBinaryClassificationTrainer	TrainBinary	Microsoft.ML.Trainers.LogisticRegressionBinaryClassificationTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput
 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.LogisticRegressionBinaryClassificationTrainer	TrainMulticlass	Microsoft.ML.Trainers.LogisticRegressionMulticlassClassificationTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+MulticlassClassificationOutput