MAIF/shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Jupyter NotebookPythonCSSHTMLJinjaMakefilepythonmachine-learningtransparencylimeinterpretabilityethical-artificial-intelligenceexplainable-mlshapexplainability
This is stars and forks stats for /MAIF/shapash repository. As of 27 Apr, 2024 this repository has 2460 stars and 293 forks.

🎉 What's new ? Version New Feature Description Tutorial 2.3.x Additional dataset columns New demo Article In Webapp: Target and error columns added to dataset and possibility to add features outside the model for more filtering options 2.3.x Identity card New demo Article In Webapp: New identity card to summarize the information of the selected sample 2.2.x Picking samples Article New tab in the webapp for picking samples. The graph represents the "True Values Vs Predicted Values" 2.2.x Dataset...
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