Optbinning

Latest version: v0.19.0

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0.2.0

New additions:

- Binning process to support optimal binning of all variables in dataset.
- Add ``print_output`` option to ``binning_table.analysis`` method.
- New unit tests added.

Tutorials:

- Tutorial: Binning process with Scikit-learn pipelines.
- Tutorial: FICO Explainable Machine Learning Challenge using binning process.

Bugfixes:

- Fix ``OptBinning.information`` print level default option.
- Avoid numpy.digitize if no splits.
- Compute Gini in ``binning_table.build`` method.

0.1.1

Bugfixes:

* Fix a bug in ``OptimalBinning.fit_transform`` when calling ``tranform`` internally.
* Replace np.int by np.int64 in ``model_data.py`` functions to guarantee 64-bit integer on Windows.
* Fix a bug in ``_chech_metric_special_missing``.

0.1.0

First release of OptBinning.

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