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- Automatic automatic extraction
- "ConformedData" conformed images, colors, dates, etc.
- "DiscretizedVector" discretized numerical data
- "DimensionReducedVector" reduced-dimension numeric vectors
- "FaceFeatures" semantic vector from an image of a human face
- "ImageFeatures" semantic vector from an image
- "IndicatorVector" nominal data "one-hot encoded" with indicator vectors
- "IntegerVector" nominal data encoded with integers
- "MissingImputed" data with missing values imputed
- "NumericVector" numeric vector from any data
- "PixelVector" vector of pixel values from an image
- "StandardizedVector" numeric data processed with Standardize
- "SegmentedCharacters" text segmented into characters
- "SegmentedWords" text segmented into words
- "TFIDF" term frequency-inverse document frequency vector
- Identity give data unchanged
- {Subscript[extractor, 1],Subscript[extractor, 2],[Ellipsis]} use a sequence of extractors in turn
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