AbstractFeatureConverter<D,R> |
Ancestor for generic feature converter schemes.
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AbstractMetaFeatureConverter |
Ancestor for converters that use a base converter.
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CountValues |
Meta-feature-converter that counts numeric values that satisfy the specified min/max range.
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Dataset |
Turns the features into ADAMS dataset format.
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FeatureContainer |
Simply returns the header definition/row in a adams.flow.container.FeatureConverterContainer container.
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FixedColumnText |
Simple feature converter that generates textual output with fixed column width.
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FixedNumFeatures |
Meta-feature-converter that ensures that the generated output has a fixed number of data points.
In case of filler type FIRST, the data gets inserted at the start, as opposed to at the end when using LAST.
NUMERIC/STRING/BOOLEAN use the appropriate filler value that the user specified.
The MISSING_* types just add a missing value of the appropriate data type.
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HeaderDefinition |
Container for storing header information.
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SpreadSheet |
Generates features in spreadsheet format.
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Text |
Simple feature converter that generates a CSV-like textual output.
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Weka |
Generates features in spreadsheet format.
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