flennerhag / mlens
ML-Ensemble – high performance ensemble learning
☆855Updated last year
Alternatives and similar repositories for mlens:
Users that are interested in mlens are comparing it to the libraries listed below
- Hyper-parameter optimization for sklearn☆1,622Updated 3 weeks ago
- A Python library for dynamic classifier and ensemble selection☆487Updated last year
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆418Updated 2 years ago
- python partial dependence plot toolbox☆853Updated 8 months ago
- Python package for stacking (machine learning technique)☆692Updated 8 months ago
- ☆757Updated last year
- Python implementations of the Boruta all-relevant feature selection method.☆1,565Updated 8 months ago
- XGBoost Feature Interactions Reshaped☆429Updated 7 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆706Updated 4 years ago
- scikit-learn compatible projects☆410Updated last month
- machine learning with logical rules in Python☆634Updated 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
- Data imputations library to preprocess datasets with missing data☆359Updated 3 years ago
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆490Updated 7 years ago
- Python implementation of the rulefit algorithm☆419Updated last year
- Multivariate imputation and matrix completion algorithms implemented in Python☆1,270Updated last year
- Code to compute permutation and drop-column importances in Python scikit-learn models☆613Updated last month
- Python module for machine learning time series:☆575Updated 2 years ago
- A library of sklearn compatible categorical variable encoders☆2,443Updated last month
- Natural Gradient Boosting for Probabilistic Prediction☆1,699Updated last month
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆517Updated last month
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,769Updated 2 weeks ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆772Updated last year
- Code for "High-Precision Model-Agnostic Explanations" paper☆802Updated 2 years ago
- A set of useful tools for competitive data science.☆550Updated 2 years ago
- XGBoost Feature Interactions & Importance☆500Updated 7 years ago
- Tuning hyperparams fast with Hyperband☆593Updated 6 years ago
- Feature exploration for supervised learning☆763Updated 4 years ago
- Personal data science and machine learning toolbox☆365Updated 5 years ago