v2.4.3

What's Changed

• remove code for category_encoder<=2.2.2 by @guillaume-vignal in #530
• Hotfix shap 0.45.0 by @guillaume-vignal in #534
• last release for: python 3.8, shap<0.45.0, scikit-learn<1.4

Full Changelog: v2.4.2...v2.4.3

v2.4.2

What's Changed

• Feature/code quality by @guerinclement in #521
• Bump dash from 1.9.1 to 2.15.0 by @dependabot in #526
• Feature/lint by @guerinclement in #522

New Contributors

• @guerinclement made their first contribution in #521

Full Changelog: v2.4.1...v2.4.2

v2.4.1: Hotfix bug fo TreeExplainer selection

Fix #514 BUG: with version 2.4.0 TreeExplainer is never used

v2.4.0: ⬆️ Support for Python 3.11

Major announcements in this release are :
- Shapash support Python 3.11
- Shapash can compute Shapeley values through Shap for any model supported by Shap

Features:

• Support for Python 3.11 #512
• Be able to use Shapash to compute Shapeley values through Shap for any model supported by Shap #506

Breaking change:

• Removes ACV from shapash and fixes dependencies #482

Fixes:

• #475
• #503
• #497

v2.3.7: Hotfix for handle missing data for categorical columns

Hotfix for handle missing data for categorical columns #490

Fix this issues : #489 #478 #472

Update extra require for report pip install shapash[report] #494

v2.3.6: Add tests for Webapp and first refacto of the webapp

Unit tests of the webapp's callbacks have been created.
In addition, a first refactoring of the Webapp is done to simplify maintenance and future developments.
#463

Some fix:
#455 References and modifications of self in smartapp create unwanted behavior
#483 Bug in Webapp for filter

v2.3.5: ⬆️ Remove numpy and pandas version limits

Remove numpy and pandas version limits.
Shapash has shap and xgboost dependencies that have been released. We no longer need to set numpy and xgboost versions.

Fix #451, #457

v2.3.4: hotfix for shapash and shap with numpy

Hotfix for shapash and shap incompatibility with numpy versions 1.24.0 and above. We limit numpy to a version under 1.24.0.

PR #459 resolves incompatibility between shapash code and numpy.
But Issue #457 remains because of shap incompatibility with numpy.
PR #460 limits numpy versions under 1.24.0.

v2.3.3: hotfix for dash and Flask compatibility

Hotfix for dash incompatibility with Flask versions 2.3.0 and above. We limit Flask to a version under 2.3.0.

v2.3.2: hotfix for pandas 2.0.0

Hotfix for pandas 2.0.0, however, we limit pandas for the moment because some tests do not pass with xgboost.

The main bug on the app with pandas 2.0.0 is fixed
#451 fix pandas version until xgboost is fixed and fix other code for pandas

Other fixes:
#440 Remove data from package
#441 scatter plot prediction when not enough data

We have a new tutorial and a new dataset:
#443 Feature/tutorial accident