jundongl / scikit-featureLinks
open-source feature selection repository in python
☆1,541Updated 10 months ago
Alternatives and similar repositories for scikit-feature
Users that are interested in scikit-feature are comparing it to the libraries listed below
Sorting:
- Python implementations of the Boruta all-relevant feature selection method.☆1,571Updated 9 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
- ML-Ensemble – high performance ensemble learning☆856Updated last year
- Parallelized Mutual Information based Feature Selection module.☆286Updated 3 years ago
- A Python library for dynamic classifier and ensemble selection☆488Updated last year
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆503Updated 3 years ago
- Hyper-parameter optimization for sklearn☆1,629Updated last month
- Multivariate imputation and matrix completion algorithms implemented in Python☆1,271Updated last year
- A scikit-learn based module for multi-label et. al. classification☆936Updated last year
- Features selector based on the self selected-algorithm, loss function and validation method☆679Updated 6 years ago
- ☆760Updated last year
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆773Updated last year
- A library of sklearn compatible categorical variable encoders☆2,447Updated 2 months ago
- machine learning with logical rules in Python☆637Updated last year
- Metric learning algorithms in Python☆1,421Updated 9 months ago
- Feature Selection using Genetic Algorithm (DEAP Framework)☆370Updated 2 years ago
- Python-based implementations of algorithms for learning on imbalanced data.☆238Updated 3 years ago
- Python module for machine learning time series:☆576Updated 2 years ago
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- python partial dependence plot toolbox☆854Updated 8 months ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆490Updated 7 years ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆461Updated last year
- Feature selector is a tool for dimensionality reduction of machine learning datasets☆2,242Updated 11 months ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆615Updated 2 months ago
- Genetic feature selection module for scikit-learn☆325Updated last year
- pandas, scikit-learn, xgboost and seaborn integration☆319Updated 4 years ago
- optimization routines for hyperparameter tuning☆419Updated last year
- scikit-learn compatible projects☆411Updated last month
- A fast xgboost feature selection algorithm☆222Updated 4 years ago
- Time series classification and clustering code written in Python.☆796Updated 4 years ago