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Add DataFrameMapper feature metadata and y-value support. #54

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Add DataFrameMapper feature metadata and y-value support. #54

wants to merge 5 commits into from

Commits on Mar 1, 2016

  1. Add initial support for y_feature extraction to DataFrameMapper. 

    Adds optional 'y_feature' to DataFrameMapper and 'extract_y' method,
equivalent to 'transform', to extract y value arrays from input
dataframe. Updates 'fit' method to accept optional 'y' values.
    @asford
    asford committed Mar 1, 2016
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  2. Add extract_X and extract_Xy methods to DataFrameMapper. 

    Adding extract_* interfaces to DataFrameMapper to support extraction of
X and y ndarrays for downstream sklearn components.
    @asford
    asford committed Mar 1, 2016
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  3. Add DataFrameMapper.feature_indices_ and update class docstring. 

    Add 'feature_indices_' to DataFrameMapper, tracking indicies of features
in output feature array. Update class docstring to sklearn standard
format.
    @asford
    asford committed Mar 1, 2016
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  4. Add DataFramePipeline Pipeline subclass supporting DataFrame input. 

    Adding DataFramePipeline to support extraction of fitting targets via
input DataFrameMapper. 'fit', 'fit_predict', 'fit_transform', and
'score' updated to extract fitting targets from input DataFrame via
DataFrameMapper 'extract_y' interface. Pipeline requires first step in
pipeline to be a DataFrameMapper instance.
    @asford
    asford committed Mar 1, 2016
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  5. Add DataFrameMapper column metadata properies. 

    Add 'X_*' properties to DataFrameMapper, allowing association of source
column metadata with output feature indicies. Fix 'feature_indicies_'
property definition.

Add initial example of DataFrameMapper and DateFramePipeline.
    @asford
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