entrypoint catalog

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

@@ -76,7 +76,7 @@ Transforms.BinNormalizer	The values are assigned into equidensity bins and a val
 Transforms.CategoricalHashOneHotVectorizer	Converts the categorical value into an indicator array by hashing the value and using the hash as an index in the bag. If the input column is a vector, a single indicator bag is returned for it.	Microsoft.ML.Transforms.Categorical.Categorical	CatTransformHash	Microsoft.ML.Transforms.Categorical.OneHotHashEncodingTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.CategoricalOneHotVectorizer	Converts the categorical value into an indicator array by building a dictionary of categories based on the data and using the id in the dictionary as the index in the array.	Microsoft.ML.Transforms.Categorical.Categorical	CatTransformDict	Microsoft.ML.Transforms.Categorical.OneHotEncodingTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.CharacterTokenizer	Character-oriented tokenizer where text is considered a sequence of characters.	Microsoft.ML.Transforms.Text.TextAnalytics	CharTokenize	Microsoft.ML.Transforms.Text.TokenizingByCharactersTransformer+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
-Transforms.ColumnConcatenator	Concatenates one or more columns of the same item type.	Microsoft.ML.EntryPoints.SchemaManipulation	ConcatColumns	Microsoft.ML.Data.ColumnConcatenatingTransformer+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
+Transforms.ColumnConcatenator	Concatenates one or more columns of the same item type.	Microsoft.ML.EntryPoints.SchemaManipulation	ConcatColumns	Microsoft.ML.Data.ColumnConcatenatingTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.ColumnCopier	Duplicates columns from the dataset	Microsoft.ML.EntryPoints.SchemaManipulation	CopyColumns	Microsoft.ML.Transforms.ColumnCopyingTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.ColumnSelector	Selects a set of columns, dropping all others	Microsoft.ML.EntryPoints.SchemaManipulation	SelectColumns	Microsoft.ML.Transforms.ColumnSelectingTransformer+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.ColumnTypeConverter	Converts a column to a different type, using standard conversions.	Microsoft.ML.Transforms.Conversions.TypeConversion	Convert	Microsoft.ML.Transforms.Conversions.TypeConvertingTransformer+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
@@ -106,11 +106,11 @@ Transforms.LpNormalizer	Normalize vectors (rows) individually by rescaling them
 Transforms.ManyHeterogeneousModelCombiner	Combines a sequence of TransformModels and a PredictorModel into a single PredictorModel.	Microsoft.ML.EntryPoints.ModelOperations	CombineModels	Microsoft.ML.EntryPoints.ModelOperations+PredictorModelInput	Microsoft.ML.EntryPoints.ModelOperations+PredictorModelOutput
 Transforms.MeanVarianceNormalizer	Normalizes the data based on the computed mean and variance of the data.	Microsoft.ML.Data.Normalize	MeanVar	Microsoft.ML.Transforms.Normalizers.NormalizeTransform+MeanVarArguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.MinMaxNormalizer	Normalizes the data based on the observed minimum and maximum values of the data.	Microsoft.ML.Data.Normalize	MinMax	Microsoft.ML.Transforms.Normalizers.NormalizeTransform+MinMaxArguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
-Transforms.MissingValueHandler	Handle missing values by replacing them with either the default value or the mean/min/max value (for non-text columns only). An indicator column can optionally be concatenated, if theinput column type is numeric.	Microsoft.ML.Transforms.NAHandling	Handle	Microsoft.ML.Transforms.MissingValueHandlingTransformer+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
-Transforms.MissingValueIndicator	Create a boolean output column with the same number of slots as the input column, where the output value is true if the value in the input column is missing.	Microsoft.ML.Transforms.NAHandling	Indicator	Microsoft.ML.Transforms.MissingValueIndicatorTransformer+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
+Transforms.MissingValueHandler	Handle missing values by replacing them with either the default value or the mean/min/max value (for non-text columns only). An indicator column can optionally be concatenated, if theinput column type is numeric.	Microsoft.ML.Transforms.NAHandling	Handle	Microsoft.ML.Transforms.MissingValueHandlingTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
+Transforms.MissingValueIndicator	Create a boolean output column with the same number of slots as the input column, where the output value is true if the value in the input column is missing.	Microsoft.ML.Transforms.NAHandling	Indicator	Microsoft.ML.Transforms.MissingValueIndicatorTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.MissingValuesDropper	Removes NAs from vector columns.	Microsoft.ML.Transforms.NAHandling	Drop	Microsoft.ML.Transforms.MissingValueDroppingTransformer+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.MissingValuesRowDropper	Filters out rows that contain missing values.	Microsoft.ML.Transforms.NAHandling	Filter	Microsoft.ML.Transforms.NAFilter+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
-Transforms.MissingValueSubstitutor	Create an output column of the same type and size of the input column, where missing values are replaced with either the default value or the mean/min/max value (for non-text columns only).	Microsoft.ML.Transforms.NAHandling	Replace	Microsoft.ML.Transforms.MissingValueReplacingTransformer+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
+Transforms.MissingValueSubstitutor	Create an output column of the same type and size of the input column, where missing values are replaced with either the default value or the mean/min/max value (for non-text columns only).	Microsoft.ML.Transforms.NAHandling	Replace	Microsoft.ML.Transforms.MissingValueReplacingTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.ModelCombiner	Combines a sequence of TransformModels into a single model	Microsoft.ML.EntryPoints.ModelOperations	CombineTransformModels	Microsoft.ML.EntryPoints.ModelOperations+CombineTransformModelsInput	Microsoft.ML.EntryPoints.ModelOperations+CombineTransformModelsOutput
 Transforms.NGramTranslator	Produces a bag of counts of ngrams (sequences of consecutive values of length 1-n) in a given vector of keys. It does so by building a dictionary of ngrams and using the id in the dictionary as the index in the bag.	Microsoft.ML.Transforms.Text.TextAnalytics	NGramTransform	Microsoft.ML.Transforms.Text.NgramExtractingTransformer+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.NoOperation	Does nothing.	Microsoft.ML.Data.NopTransform	Nop	Microsoft.ML.Data.NopTransform+NopInput	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput