scikit-learn-contrib / DESlib
A Python library for dynamic classifier and ensemble selection
☆485Updated 10 months ago
Alternatives and similar repositories for DESlib:
Users that are interested in DESlib 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.☆416Updated 2 years ago
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- ML-Ensemble – high performance ensemble learning☆847Updated last year
- machine learning with logical rules in Python☆630Updated last year
- Python module for machine learning time series:☆574Updated 2 years ago
- Python implementation of the rulefit algorithm☆414Updated last year
- Data imputations library to preprocess datasets with missing data☆359Updated 3 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆606Updated last year
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆468Updated last year
- A machine learning package for streaming data in Python. The other ancestor of River.☆771Updated last year
- scikit-learn compatible projects☆410Updated 2 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆315Updated last year
- Python package for stacking (machine learning technique)☆691Updated 6 months ago
- CostSensitiveClassification Library in Python☆207Updated 4 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆507Updated 4 months ago
- python partial dependence plot toolbox☆850Updated 5 months ago
- Python package for Imputation Methods☆245Updated last year
- A Python library for dynamic classifier and ensemble selection. Note that this repository is just a fork. The original repository is host…☆72Updated 10 months ago
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆597Updated 6 months ago
- Genetic feature selection module for scikit-learn☆324Updated last year
- A template for scikit-learn extensions☆329Updated 3 weeks ago
- A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection fea…☆647Updated last year
- A fast xgboost feature selection algorithm☆220Updated 3 years ago
- ☆752Updated last year
- Python Meta-Feature Extractor package.☆130Updated 7 months ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,550Updated 6 months ago
- scikit-learn contrib estimators☆193Updated this week
- PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.☆460Updated last month
- Python Accumulated Local Effects package☆163Updated last year
- Code to compute permutation and drop-column importances in Python scikit-learn models☆607Updated 4 months ago