Update EP

Author: wschin

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

@@ -132,5 +132,5 @@ Transforms.TrainTestDatasetSplitter	Split the dataset into train and test sets	M
 Transforms.TreeLeafFeaturizer	Trains a tree ensemble, or loads it from a file, then maps a numeric feature vector to three outputs: 1. A vector containing the individual tree outputs of the tree ensemble. 2. A vector indicating the leaves that the feature vector falls on in the tree ensemble. 3. A vector indicating the paths that the feature vector falls on in the tree ensemble. If a both a model file and a trainer are specified - will use the model file. If neither are specified, will train a default FastTree model. This can handle key labels by training a regression model towards their optionally permuted indices.	Microsoft.ML.Data.TreeFeaturize	Featurizer	Microsoft.ML.Data.TreeEnsembleFeaturizerTransform+ArgumentsForEntryPoint	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.TwoHeterogeneousModelCombiner	Combines a TransformModel and a PredictorModel into a single PredictorModel.	Microsoft.ML.EntryPoints.ModelOperations	CombineTwoModels	Microsoft.ML.EntryPoints.ModelOperations+SimplePredictorModelInput	Microsoft.ML.EntryPoints.ModelOperations+PredictorModelOutput
 Transforms.VectorToImage	Converts vector array into image type.	Microsoft.ML.ImageAnalytics.ImageAnalyticsEntryPoints	VectorToImage	Microsoft.ML.ImageAnalytics.VectorToImageConvertingTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
-Transforms.WordEmbeddings	Word Embeddings transform is a text featurizer which converts vectors of text tokens into sentence vectors using a pre-trained model	Microsoft.ML.Transforms.Text.TextAnalytics	WordEmbeddings	Microsoft.ML.Transforms.Text.WordEmbeddingsExtractingTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
+Transforms.WordEmbeddings	Word Embeddings transform is a text featurizer which converts vectors of text tokens into sentence vectors using a pre-trained model	Microsoft.ML.Transforms.Text.TextAnalytics	WordEmbeddings	Microsoft.ML.Transforms.Text.WordEmbeddingTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.WordTokenizer	The input to this transform is text, and the output is a vector of text containing the words (tokens) in the original text. The separator is space, but can be specified as any other character (or multiple characters) if needed.	Microsoft.ML.Transforms.Text.TextAnalytics	DelimitedTokenizeTransform	Microsoft.ML.Transforms.Text.WordTokenizingTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput