SauceCat / PDPbox
python partial dependence plot toolbox
☆845Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for PDPbox
- machine learning with logical rules in Python☆624Updated 9 months ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,509Updated 2 months ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆600Updated last month
- ML-Ensemble – high performance ensemble learning☆846Updated 11 months ago
- Python implementation of the rulefit algorithm☆411Updated last year
- A library of sklearn compatible categorical variable encoders☆2,410Updated last month
- ☆745Updated last year
- Hyper-parameter optimization for sklearn☆1,587Updated 4 months ago
- Extra blocks for scikit-learn pipelines.☆1,271Updated this week
- Code for "High-Precision Model-Agnostic Explanations" paper☆797Updated 2 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,654Updated last week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,758Updated 2 years ago
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆466Updated last year
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 4 years ago
- Data Analysis Baseline Library☆725Updated 3 months ago
- Fast SHAP value computation for interpreting tree-based models☆519Updated last year
- Feature engineering package with sklearn like functionality☆1,913Updated this week
- A Python library for dynamic classifier and ensemble selection☆480Updated 6 months ago
- [HELP REQUESTED] Generalized Additive Models in Python☆875Updated 4 months ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆673Updated 4 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆582Updated 8 months ago
- Python package for stacking (machine learning technique)☆685Updated 2 months ago
- Survival analysis built on top of scikit-learn☆1,134Updated this week
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆771Updated 8 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,396Updated this week
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,356Updated 6 months ago
- Python Accumulated Local Effects package☆158Updated last year
- Leave One Feature Out Importance☆817Updated 9 months ago