Update entry point

Author: wschin

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

@@ -45,10 +45,10 @@ Trainers.EnsembleClassification	Train multiclass ensemble.	Microsoft.ML.Ensemble
 Trainers.EnsembleRegression	Train regression ensemble.	Microsoft.ML.Ensemble.EntryPoints.Ensemble	CreateRegressionEnsemble	Microsoft.ML.Ensemble.RegressionEnsembleTrainer+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+RegressionOutput
 Trainers.FastForestBinaryClassifier	Uses a random forest learner to perform binary classification.	Microsoft.ML.Trainers.FastTree.FastForest	TrainBinary	Microsoft.ML.Trainers.FastTree.FastForestClassification+Options	Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput
 Trainers.FastForestRegressor	Trains a random forest to fit target values using least-squares.	Microsoft.ML.Trainers.FastTree.FastForest	TrainRegression	Microsoft.ML.Trainers.FastTree.FastForestRegression+Options	Microsoft.ML.EntryPoints.CommonOutputs+RegressionOutput
-Trainers.FastTreeBinaryClassifier	Uses a logit-boost boosted tree learner to perform binary classification.	Microsoft.ML.Trainers.FastTree.FastTreeEntryPoint	TrainBinary	Microsoft.ML.Trainers.FastTree.FastTreeBinaryClassificationTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput
-Trainers.FastTreeRanker	Trains gradient boosted decision trees to the LambdaRank quasi-gradient.	Microsoft.ML.Trainers.FastTree.FastTreeEntryPoint	TrainRanking	Microsoft.ML.Trainers.FastTree.FastTreeRankingTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+RankingOutput
-Trainers.FastTreeRegressor	Trains gradient boosted decision trees to fit target values using least-squares.	Microsoft.ML.Trainers.FastTree.FastTreeEntryPoint	TrainRegression	Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+RegressionOutput
-Trainers.FastTreeTweedieRegressor	Trains gradient boosted decision trees to fit target values using a Tweedie loss function. This learner is a generalization of Poisson, compound Poisson, and gamma regression.	Microsoft.ML.Trainers.FastTree.FastTreeEntryPoint	TrainTweedieRegression	Microsoft.ML.Trainers.FastTree.FastTreeTweedieTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+RegressionOutput
+Trainers.FastTreeBinaryClassifier	Uses a logit-boost boosted tree learner to perform binary classification.	Microsoft.ML.Trainers.FastTree.FastTree	TrainBinary	Microsoft.ML.Trainers.FastTree.FastTreeBinaryClassificationTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput
+Trainers.FastTreeRanker	Trains gradient boosted decision trees to the LambdaRank quasi-gradient.	Microsoft.ML.Trainers.FastTree.FastTree	TrainRanking	Microsoft.ML.Trainers.FastTree.FastTreeRankingTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+RankingOutput
+Trainers.FastTreeRegressor	Trains gradient boosted decision trees to fit target values using least-squares.	Microsoft.ML.Trainers.FastTree.FastTree	TrainRegression	Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+RegressionOutput
+Trainers.FastTreeTweedieRegressor	Trains gradient boosted decision trees to fit target values using a Tweedie loss function. This learner is a generalization of Poisson, compound Poisson, and gamma regression.	Microsoft.ML.Trainers.FastTree.FastTree	TrainTweedieRegression	Microsoft.ML.Trainers.FastTree.FastTreeTweedieTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+RegressionOutput
 Trainers.FieldAwareFactorizationMachineBinaryClassifier	Train a field-aware factorization machine for binary classification	Microsoft.ML.FactorizationMachine.FieldAwareFactorizationMachineTrainer	TrainBinary	Microsoft.ML.FactorizationMachine.FieldAwareFactorizationMachineTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+BinaryClassificationOutput
 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.BinaryClassificationGamTrainer+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.RegressionGamTrainer+Options	Microsoft.ML.EntryPoints.CommonOutputs+RegressionOutput