OptBinning 0.2.0
guillermo-navas-palencia
released this
02 Feb 20:06
·
873 commits
to master
since this release
New additions:
- Binning process to support optimal binning of all variables in dataset.
- Add
print_output
option tobinning_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.