entypoint catalog

Author: artidoro

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

@@ -79,17 +79,17 @@ Transforms.CharacterTokenizer	Character-oriented tokenizer where text is conside
 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
+Transforms.ColumnTypeConverter	Converts a column to a different type, using standard conversions.	Microsoft.ML.Transforms.Conversions.TypeConversion	Convert	Microsoft.ML.Transforms.Conversions.TypeConvertingTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.CombinerByContiguousGroupId	Groups values of a scalar column into a vector, by a contiguous group ID	Microsoft.ML.Transforms.GroupingOperations	Group	Microsoft.ML.Transforms.GroupTransform+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.ConditionalNormalizer	Normalize the columns only if needed	Microsoft.ML.Data.Normalize	IfNeeded	Microsoft.ML.Transforms.Normalizers.NormalizeTransform+MinMaxArguments	Microsoft.ML.EntryPoints.CommonOutputs+MacroOutput`1[Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput]
 Transforms.DataCache	Caches using the specified cache option.	Microsoft.ML.EntryPoints.Cache	CacheData	Microsoft.ML.EntryPoints.Cache+CacheInput	Microsoft.ML.EntryPoints.Cache+CacheOutput
 Transforms.DatasetScorer	Score a dataset with a predictor model	Microsoft.ML.EntryPoints.ScoreModel	Score	Microsoft.ML.EntryPoints.ScoreModel+Input	Microsoft.ML.EntryPoints.ScoreModel+Output
 Transforms.DatasetTransformScorer	Score a dataset with a transform model	Microsoft.ML.EntryPoints.ScoreModel	ScoreUsingTransform	Microsoft.ML.EntryPoints.ScoreModel+InputTransformScorer	Microsoft.ML.EntryPoints.ScoreModel+Output
 Transforms.Dictionarizer	Converts input values (words, numbers, etc.) to index in a dictionary.	Microsoft.ML.Transforms.Text.TextAnalytics	TermTransform	Microsoft.ML.Transforms.Conversions.ValueToKeyMappingTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.FeatureCombiner	Combines all the features into one feature column.	Microsoft.ML.EntryPoints.FeatureCombiner	PrepareFeatures	Microsoft.ML.EntryPoints.FeatureCombiner+FeatureCombinerInput	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
-Transforms.FeatureContributionCalculationTransformer	For each data point, calculates the contribution of individual features to the model prediction.	Microsoft.ML.Data.FeatureContributionEntryPoint	FeatureContributionCalculation	Microsoft.ML.Data.FeatureContributionCalculatingTransformer+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
-Transforms.FeatureSelectorByCount	Selects the slots for which the count of non-default values is greater than or equal to a threshold.	Microsoft.ML.Transforms.SelectFeatures	CountSelect	Microsoft.ML.Transforms.FeatureSelection.CountFeatureSelectingEstimator+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
-Transforms.FeatureSelectorByMutualInformation	Selects the top k slots across all specified columns ordered by their mutual information with the label column.	Microsoft.ML.Transforms.SelectFeatures	MutualInformationSelect	Microsoft.ML.Transforms.FeatureSelection.MutualInformationFeatureSelectingEstimator+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
+Transforms.FeatureContributionCalculationTransformer	For each data point, calculates the contribution of individual features to the model prediction.	Microsoft.ML.Data.FeatureContributionEntryPoint	FeatureContributionCalculation	Microsoft.ML.Data.FeatureContributionCalculatingTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
+Transforms.FeatureSelectorByCount	Selects the slots for which the count of non-default values is greater than or equal to a threshold.	Microsoft.ML.Transforms.SelectFeatures	CountSelect	Microsoft.ML.Transforms.FeatureSelection.CountFeatureSelectingEstimator+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
+Transforms.FeatureSelectorByMutualInformation	Selects the top k slots across all specified columns ordered by their mutual information with the label column.	Microsoft.ML.Transforms.SelectFeatures	MutualInformationSelect	Microsoft.ML.Transforms.FeatureSelection.MutualInformationFeatureSelectingEstimator+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.GlobalContrastNormalizer	Performs a global contrast normalization on input values: Y = (s * X - M) / D, where s is a scale, M is mean and D is either L2 norm or standard deviation.	Microsoft.ML.Transforms.Projections.LpNormalization	GcNormalize	Microsoft.ML.Transforms.Projections.LpNormalizingTransformer+GcnArguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.HashConverter	Converts column values into hashes. This transform accepts both numeric and text inputs, both single and vector-valued columns. 	Microsoft.ML.Transforms.Conversions.HashJoin	Apply	Microsoft.ML.Transforms.Conversions.HashJoiningTransform+Arguments	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
 Transforms.ImageGrayscale	Convert image into grayscale.	Microsoft.ML.ImageAnalytics.EntryPoints.ImageAnalytics	ImageGrayscale	Microsoft.ML.ImageAnalytics.ImageGrayscalingTransformer+Options	Microsoft.ML.EntryPoints.CommonOutputs+TransformOutput
@@ -108,7 +108,7 @@ Transforms.MeanVarianceNormalizer	Normalizes the data based on the computed mean
 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+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.MissingValuesDropper	Removes NAs from vector columns.	Microsoft.ML.Transforms.NAHandling	Drop	Microsoft.ML.Transforms.MissingValueDroppingTransformer+Options	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+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