Shapash

- Fixes a bug with required python version for installation

Bug fix :
- Fix Shapash installation with python 3.9

- Groups of features compatible with:
- Features importance plot (188)
- Contribution plot (188)
- Local plot (207)
- WebApp (203)
- SmartPredictor (212)
- New tutorial to illustrate how to use groups of features (211)
- New plot : correlation plot (210) used in the Shapash report
- Added compatibility with python version 3.9

Minor Release - bugs fixed:
- Correlation exception
- generate_report() - kernel_name parameter (Papermill kernel)

- 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)

- **WebApp Features**: Title (118), sort features in mask (117), run app without prediction (135)
- **Interaction plot**: Plot (124), calculation of top interactions (120, 122)
- **BugFix**: Xgboost (127), Pickle (131, 133)