scikit-learn-contrib / stability-selection
scikit-learn compatible implementation of stability selection.
☆212Updated 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 2 years ago
- A Python library for dynamic classifier and ensemble selection☆484Updated 11 months ago
- Confidence intervals for scikit-learn forest algorithms☆285Updated 8 months ago
- Python implementation of the rulefit algorithm☆418Updated last year
- A fast xgboost feature selection algorithm☆221Updated 3 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆227Updated 4 years ago
- scikit-learn-inspired time series☆200Updated last year
- A garden for scikit-learn compatible trees☆286Updated 9 months ago
- Parallelized Mutual Information based Feature Selection module.☆286Updated 3 years ago
- minepy - Maximal Information-based Nonparametric Exploration☆221Updated 9 months ago
- Genetic feature selection module for scikit-learn☆324Updated last year
- Data imputations library to preprocess datasets with missing data☆359Updated 3 years ago
- CostSensitiveClassification Library in Python☆207Updated 4 years ago
- A simple, extensible library for developing AutoML systems☆173Updated last year
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆381Updated 3 years ago
- An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad☆104Updated last year
- scikit-learn compatible projects☆410Updated 2 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆611Updated last year
- Python Accumulated Local Effects package☆165Updated 2 years ago
- Python package for causal inference using Bayesian structural time-series models.☆239Updated 4 years ago
- scikit-learn contrib estimators☆194Updated last month
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated last year
- ML-Ensemble – high performance ensemble learning☆852Updated last year
- machine learning with logical rules in Python☆630Updated last year
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated last year
- An extension of CatBoost to probabilistic modelling☆143Updated last year
- Code to compute permutation and drop-column importances in Python scikit-learn models☆608Updated 5 months ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆265Updated 7 months ago
- Python module for machine learning time series:☆574Updated 2 years ago
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year