EpistasisLab / scikit-rebateLinks
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
☆418Updated 2 years ago
Alternatives and similar repositories for scikit-rebate
Users that are interested in scikit-rebate are comparing it to the libraries listed below
Sorting:
- scikit-learn compatible implementation of stability selection.☆213Updated 2 years ago
- Parallelized Mutual Information based Feature Selection module.☆286Updated 3 years ago
- A fast xgboost feature selection algorithm☆222Updated 4 years ago
- ML-Ensemble – high performance ensemble learning☆857Updated last year
- A Python library for dynamic classifier and ensemble selection☆490Updated last year
- Genetic feature selection module for scikit-learn☆322Updated last year
- Data imputations library to preprocess datasets with missing data☆362Updated 3 years ago
- machine learning with logical rules in Python☆643Updated last year
- scikit-learn compatible projects☆411Updated 3 months ago
- CostSensitiveClassification Library in Python☆206Updated 5 years ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆619Updated 4 months ago
- Python implementation of the rulefit algorithm☆424Updated last year
- Confidence intervals for scikit-learn forest algorithms☆288Updated 3 months ago
- A garden for scikit-learn compatible trees☆288Updated last year
- Python implementations of the Boruta all-relevant feature selection method.☆1,580Updated 11 months ago
- Python module for machine learning time series:☆577Updated 2 years ago
- ☆759Updated 2 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆625Updated last year
- Open source package for Survival Analysis modeling☆360Updated last year
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- Multiple Pairwise Comparisons (Post Hoc) Tests in Python☆370Updated 3 months ago
- Python package for Imputation Methods☆248Updated last year
- Missing Data Imputation for Python☆244Updated last year
- A template for scikit-learn extensions☆334Updated 6 months ago
- Python package for causal inference using Bayesian structural time-series models.☆240Updated 5 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆522Updated 4 months ago
- PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.☆460Updated 4 months ago
- Python Accumulated Local Effects package☆168Updated 2 years ago
- Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…☆64Updated 5 years ago
- Personal data science and machine learning toolbox☆365Updated 5 years ago