`aif360.sklearn.datasets`.to_dataframe¶

aif360.sklearn.datasets.to_dataframe(data)[source]¶

Format an OpenML dataset Bunch as a DataFrame with categorical features if needed.

Parameters:	data (Bunch) – Dict-like object containing `data`, `feature_names` and, optionally, `categories` attributes. Note: `data` should contain both X and y data.
Returns:	pandas.DataFrame – A DataFrame containing all data, including target, with categorical features converted to ‘category’ dtypes.

aif360.sklearn.datasets.to_dataframe¶