Releases: MAIF/shapash
Releases · MAIF/shapash
v2.1.1 : Clustering of the correlation matrix
✨ Features
New feature #376
Clustering of the correlation matrix in order to visualize correlations between variables easily.
v2.1.0 : Support to Python3.10
v2.0.2 : Pairwise comparison of Consistency
✨ Features
New feature #364
Pairwise comparison of Consistency : How are differences in contributions distributed across features ?
v2.0.1: Patch release: minor fixes
This patch release fix a bug on display webapp classification #357
v2.0.0: Shapash refactoring
v1.7.1: Variabilize colors
v1.6.1: Patch release: minor fixes
This patch release prevent errors from matplotlib version 3.5.1
v1.6.0: Explainability Quality Metrics
Features
Evaluate the relevance of your explainability using 3 metrics: Stability, Consistency and Compacity
New backend added to Shapash : LIME #255
Bug fixes
- Multiple lime fixe (#263, #265, #267)
- replace parameter for acv backend #262
- fix remove files when generate report fail #250
Internal
- Update data loader with urldowload #269
v1.5.0: A better estimation of Shapley values with ACV backend
Features
- New backend added to Shapash : ACV (#245)
- New backend parameter on the compile method on which we can select 'acv'
- New tutorial to illustrate how to work with Shapash and ACV
- More info about ACV here : https://github.com/salimamoukou/acv00
- lightgbm added to Shapash accepted list of models (#232)
Bug fixes
v1.4.4 : patch release
This release fixes bugs in the WebApp (#223)