lrjball / shap
A game theoretic approach to explain the output of any machine learning model.
☆14Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for shap
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆25Updated 7 years ago
- Implementation of the Rotation Forest by Rodriques et al. 2006☆28Updated 9 months ago
- Automatic missing value imputation using random forests☆14Updated 9 years ago
- Image Classification on EuroSAT☆8Updated 2 years ago
- ☆13Updated last year
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆27Updated 4 years ago
- Advanced random forest methods in Python☆57Updated last year
- Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters☆39Updated 5 years ago
- Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)☆10Updated 2 years ago
- Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.☆11Updated 2 years ago
- ☆10Updated 4 years ago
- A small wrapper to do Beta Boosting with XgBoost☆15Updated 3 years ago
- ☆28Updated 2 years ago
- A Python Package for Probabilistic Prediction☆22Updated 3 years ago
- ☆17Updated last year
- Distributional Gradient Boosting Machines☆26Updated last year
- CONditionals for Ordinal Regression and classification in PyTorch☆10Updated 2 years ago
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 2 years ago
- ☆11Updated 2 years ago
- Robust piecewise regression☆12Updated 3 weeks ago
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆19Updated 2 years ago
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆24Updated 4 years ago
- ☆13Updated 4 years ago
- scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python☆42Updated 2 years ago
- Benchmark time series data sets for PyTorch☆34Updated 9 months ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated 4 months ago
- A scikit-learn wrapper for HpBandSter hyper parameter search.☆23Updated 2 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated last year
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆61Updated last month
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 3 years ago