christophM / rulefitLinks
Python implementation of the rulefit algorithm
☆424Updated last year
Alternatives and similar repositories for rulefit
Users that are interested in rulefit are comparing it to the libraries listed below
Sorting:
- machine learning with logical rules in Python☆644Updated last year
- A Python library for dynamic classifier and ensemble selection☆491Updated last year
- scikit-learn compatible implementation of stability selection.☆213Updated 2 years ago
- python partial dependence plot toolbox☆860Updated 11 months ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆420Updated 2 years ago
- Python Accumulated Local Effects package☆169Updated 2 years ago
- Python Meta-Feature Extractor package.☆133Updated last week
- Python package for Imputation Methods☆249Updated last year
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆522Updated 5 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆628Updated last year
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆489Updated 2 months ago
- ML-Ensemble – high performance ensemble learning☆860Updated last year
- CostSensitiveClassification Library in Python☆206Updated 5 years ago
- Python package for causal inference using Bayesian structural time-series models.☆241Updated 5 years ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- scikit-learn compatible projects☆411Updated 4 months ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆804Updated 3 years ago
- Data imputations library to preprocess datasets with missing data☆362Updated 3 years ago
- A fast xgboost feature selection algorithm☆223Updated 4 years ago
- A python library to build Model Trees with Linear Models at the leaves.☆380Updated last year
- An extension of XGBoost to probabilistic modelling☆639Updated 2 weeks ago
- Bayesian Additive Regression Trees For Python☆231Updated last year
- Confidence intervals for scikit-learn forest algorithms☆288Updated 4 months ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆619Updated 5 months ago
- Fast SHAP value computation for interpreting tree-based models☆541Updated 2 years ago
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆326Updated 2 years ago
- Hierarchical Time Series Forecasting with a familiar API☆225Updated 2 years ago
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆911Updated 2 weeks ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆496Updated 4 years ago