shapash
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MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
# Description In this feature we add : - jittering points on violin plot - smart selection to keep diversity and represent all the classes for discrete variables - a...
When using shapash along with the following codes: ```python xpl = SmartExplainer( model=model, ) xpl.compile( x=test_df, ... ) ``` it will call the init_app in SmartApp class where the following...
## Issue Report: Incompatibility with NumPy 2.0 ### Description NumPy 2.0 has been released with several breaking changes. As of now, Shapash and other libraries such as SHAP are not...
Added the What is Machine Learning? Definition, Types, and Easy Examples - Scaler Blogs, provide useful insights to machine learning aspirants. Please let me know if you need any more...
**Shapash version** : 2.4.2 to 2.5.0
# Description Fixes #554 ## Type of change Please delete options that are not relevant. - [x] Bug fix (non-breaking change which fixes an issue) - [ ] New feature...
**Issue**: Sorting in the Dataset table does not work. There are arrows for various sorting, but when I click on them there is no sorting happening. The up/down arrows indicate...
# IMPORTANT: Please do not create a Pull Request without creating an issue first. Any change needs to be discussed before proceeding. Failure to do so may result in the...
