What’s new¶
v0.2.0¶
Enhancement¶
- ModelFrame.transform can preserve column names for some sklearn.preprocessing transformation.
- Added ModelSeries.fit, transform, fit_transform and inverse_transform for preprocessing purpose.
- ModelFrame can be initialized from statsmodels datasets.
- ModelFrame.cross_validation.iterate and ModelFrame.cross_validation.train_test_split now keep index of original dataset, and added reset_index keyword to control this behaviour.
Bug Fix¶
- target kw may be ignored when initializing ModelFrame with np.ndarray and columns kwds.
- linear_model.enet_path doesn’t accept additional keywords.
- Initializing ModelFrame with named Series may have duplicated target columns.
- ModelFrame.target_name may not be preserved when sliced.
v0.1.0¶
- Initial Release