Releases: MAIF/shapash
Releases · MAIF/shapash
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)
v1.4.2: patch release
- Fixes a bug with required python version for installation
v1.4.1: patch release
Bug fix :
- Fix Shapash installation with python 3.9
v1.4.0: Sets of features and correlation plot
Shapash Report - Bug Fix
Minor Release - bugs fixed:
- Correlation exception
- generate_report() - kernel_name parameter (Papermill kernel)
Shapash Report
- Standalone report (#137)
Standalone HTML file that contains the following information :- General information about the project
- Dataset description
- Model library, parameters, and other specifications
- Dataset analysis
- Global explainability of the model
- Model performance
- Digit counter breaks on 0 (#156)
- Switch from SmartPredictor to SmartExplainer (#132)
Interaction plot and new features for WebApp
Python 3.8 support
Merge pull request #98 from MAIF/feature/update_python_v38_v39 Support python 3.8
v1.0.1: Merge pull request #96 from MAIF/nbformat-update
Nbformat update