scikit-learn-contrib / stability-selection
scikit-learn compatible implementation of stability selection.
☆210Updated last year
Alternatives and similar repositories for stability-selection:
Users that are interested in stability-selection are comparing it to the libraries listed below
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆415Updated last year
- A fast xgboost feature selection algorithm☆218Updated 3 years ago
- A Python library for dynamic classifier and ensemble selection☆482Updated 9 months ago
- Data imputations library to preprocess datasets with missing data☆358Updated 3 years ago
- Parallelized Mutual Information based Feature Selection module.☆288Updated 3 years ago
- A simple, extensible library for developing AutoML systems☆173Updated last year
- Confidence intervals for scikit-learn forest algorithms☆286Updated 6 months ago
- An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad☆104Updated last year
- pymc-learn: Practical probabilistic machine learning in Python☆225Updated 3 years ago
- scikit-learn compatible projects☆410Updated 2 years ago
- machine learning with logical rules in Python☆625Updated 11 months ago
- Python implementation of the rulefit algorithm☆411Updated last year
- minepy - Maximal Information-based Nonparametric Exploration☆218Updated 7 months ago
- Genetic feature selection module for scikit-learn☆322Updated 11 months ago
- A garden for scikit-learn compatible trees☆286Updated 6 months ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆126Updated last year
- Missing Data Imputation for Python☆240Updated 10 months ago
- CostSensitiveClassification Library in Python☆207Updated 4 years ago
- Python Accumulated Local Effects package☆162Updated last year
- A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…☆106Updated 10 months ago
- Python package for Imputation Methods☆244Updated last year
- Mixed Effects Random Forest☆223Updated 7 months ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆263Updated 5 months ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆605Updated 3 months ago
- Bayesian Additive Regression Trees For Python☆219Updated last year
- A scikit-learn compatible implementation of hyperband☆75Updated 5 years ago
- Python package for causal inference using Bayesian structural time-series models.☆237Updated 4 years ago
- Python module for machine learning time series:☆573Updated 2 years ago
- ML-Ensemble – high performance ensemble learning☆848Updated last year
- An extension of CatBoost to probabilistic modelling☆142Updated last year