- Set tdigest and pympler dependencies as optional. This change avoids accumulation-tree issues faced by several users. Remove dill dependency. - New continuous binning objective function leading to improvements in regression metrics.
Bugfixes:
- Fix binning 2D minimum difference constraints.
Tutorials:
- Tutorial: optimal binning 2D with continuous target
0.13.1
Bugfixes:
- Fix binning process summary update (151 ).
- Fix pandas 1.4.0 (python > 3.8) slicing issue with method at (148).
- Fix minor typos (147 ).
- Fix binning plot for multiple special values.
0.13.0
New features:
- Treatment of special codes separately for optbinning classes (115 ).
Bugfixes:
- Various bug fixes for the ``OptimalBinning2D`` class. See 138 for instance.
Tutorials
- Tutorial: optimal binning 2D with binary target
0.12.2
Improvements:
- Do not store optimization solver instance as class attribute. - Do not store logger as a class attribute.
0.12.1
New features:
- Binning process supports ``sample_weight`` for binary target. 124
- Binning process can fix variables not satisfying selection criteria. 123
0.12.0
New features:
- Optimal binning 2D with binary target.
Improvements:
- Update bin string format in binning tables. - Simplify logic when ``style="actual"`` in binning table plots.
API changes:
- Scorecard fit method arguments changed to the usual ``(X, y)``: 111