andosa / treeinterpreter
☆757Updated last year
Alternatives and similar repositories for treeinterpreter:
Users that are interested in treeinterpreter are comparing it to the libraries listed below
- python partial dependence plot toolbox☆853Updated 7 months ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆488Updated 7 years ago
- Hyper-parameter optimization for sklearn☆1,622Updated last week
- ML-Ensemble – high performance ensemble learning☆853Updated last year
- scikit-learn compatible projects☆410Updated 3 weeks ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,563Updated 8 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,769Updated last week
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆416Updated 2 years ago
- XGBoost Feature Interactions Reshaped☆429Updated 7 years ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆611Updated last month
- machine learning with logical rules in Python☆634Updated last year
- Code for "High-Precision Model-Agnostic Explanations" paper☆801Updated 2 years ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆772Updated last year
- H2O.ai Machine Learning Interpretability Resources☆488Updated 4 years ago
- Scalable Machine Learning with Dask☆930Updated 2 months ago
- Multivariate imputation and matrix completion algorithms implemented in Python☆1,270Updated last year
- A Python library for dynamic classifier and ensemble selection☆486Updated last year
- Tuning hyperparams fast with Hyperband☆593Updated 6 years ago
- [HELP REQUESTED] Generalized Additive Models in Python☆893Updated 10 months ago
- Confidence intervals for scikit-learn forest algorithms☆287Updated last week
- XGBoost Feature Interactions & Importance☆500Updated 7 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆381Updated 3 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,768Updated last year
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- Feature exploration for supervised learning☆763Updated 4 years ago
- optimization routines for hyperparameter tuning☆419Updated last year
- Data Analysis Baseline Library☆726Updated 4 months ago
- pandas, scikit-learn, xgboost and seaborn integration☆318Updated 4 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆706Updated 4 years ago
- Describing statistical models in Python using symbolic formulas☆966Updated last week