SauceCat / PDPboxLinks
python partial dependence plot toolbox
☆860Updated 10 months ago
Alternatives and similar repositories for PDPbox
Users that are interested in PDPbox are comparing it to the libraries listed below
Sorting:
- machine learning with logical rules in Python☆643Updated last year
- Python implementations of the Boruta all-relevant feature selection method.☆1,580Updated 11 months ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆619Updated 4 months ago
- Python package for stacking (machine learning technique)☆693Updated 11 months ago
- ML-Ensemble – high performance ensemble learning☆857Updated last year
- Leave One Feature Out Importance☆836Updated 5 months ago
- ☆759Updated 2 years ago
- A library of sklearn compatible categorical variable encoders☆2,453Updated last month
- Extra blocks for scikit-learn pipelines.☆1,350Updated last month
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆467Updated last year
- A Python library for dynamic classifier and ensemble selection☆490Updated last year
- Hyper-parameter optimization for sklearn☆1,638Updated 3 months ago
- Python implementation of the rulefit algorithm☆423Updated last year
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆681Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,771Updated 3 months ago
- [HELP REQUESTED] Generalized Additive Models in Python☆910Updated this week
- Fast SHAP value computation for interpreting tree-based models☆541Updated 2 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,762Updated 2 weeks ago
- Data Analysis Baseline Library☆728Updated 7 months ago
- Personal data science and machine learning toolbox☆365Updated 5 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆805Updated 3 years ago
- A set of data tools in Python☆504Updated 6 months ago
- ☆289Updated 3 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,485Updated last month
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆522Updated 4 months ago
- scikit-learn compatible projects☆411Updated 3 months ago
- Feature exploration for supervised learning☆764Updated 4 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆625Updated last year
- A template for scikit-learn extensions☆334Updated 6 months ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆418Updated 2 years ago