Reverse Dependencies of slicer

The following projects have a declared dependency on slicer:

• baby-shap — A stripped and opiniated version of Scott Lundberg's SHAP (SHapley Additive exPlanations)
• corr-shap — This package is an extension of the KernelExplainer of shap package that explains the output of any machine learning model, taking into account dependencies between features.
• EtaML — An automated machine learning platform with a focus on explainability
• fasttreeshap — A fast implementation of TreeSHAP algorithm.
• fightchurn — Code from the book Fighting Churn With Data
• gdp-time-series — no summary
• hbac-bias-detection — no summary
• lohrasb — This versatile tool streamlines hyperparameter optimization in machine learning workflows.It supports a wide range of search methods, from GridSearchCV and RandomizedSearchCVto advanced techniques like OptunaSearchCV, Ray Tune, and Scikit-Learn Tune.Designed to enhance model performance and efficiency, it's suitable for tasks of any scale.
• lp-Aicloud — this a aicloud
• neurocat — Interface Design for Neurocat's Research Engineer Test
• pardon — The Data Transformation and Machine Learning Accelerator
• pou-shap — A unified approach to explain the output of any machine learning model.
• relionai — Comprehensive ML Testing directly into your stack with just a few lines of code
• shap — A unified approach to explain the output of any machine learning model.
• shap-legacy — A unified approach to explain the output of any machine learning model.
• shaperone — Shaperone is a fork of the SHAP library, fixing open issues to improve usability.
• singletrader — a package for backtesting and factor analysis
• sphynxml — no summary
• zoish — Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature selection and interpretability, making model development more efficient and user-friendly.