lrjball / shap
A game theoretic approach to explain the output of any machine learning model.
☆14Updated 2 years ago
Alternatives and similar repositories for shap:
Users that are interested in shap are comparing it to the libraries listed below
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆25Updated 7 years ago
- Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.☆11Updated 2 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆27Updated 4 years ago
- Implementation of the Rotation Forest by Rodriques et al. 2006☆28Updated 11 months ago
- Compute set of important operations for HCTSA code☆26Updated 4 years ago
- Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…☆72Updated last month
- ☆10Updated 4 years ago
- Automatic missing value imputation using random forests☆14Updated 9 years ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated 6 months ago
- Advanced random forest methods in Python☆58Updated last year
- SXL: Spatially explicit learning of geographic processes with auxiliary tasks☆14Updated 3 years ago
- ☆13Updated 4 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Experiments on structure learning of Bayesian Networks with emphasis on finding causal relationship☆9Updated 5 years ago
- Autoencoder network for imputing missing values☆26Updated 5 years ago
- Explaining dimensionality results using SHAP values☆53Updated this week
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆21Updated 3 months ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆43Updated 2 years ago
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆19Updated 2 years ago
- Overview of different model interpretability libraries.☆46Updated 2 years ago
- skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms☆22Updated last week
- Helpers for scikit learn☆16Updated 2 years ago
- ☆18Updated 3 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated last year
- GAMI-Net: Generalized Additive Models with Structured Interactions☆30Updated 2 years ago
- Distributional Gradient Boosting Machines☆27Updated 2 years ago
- ☆53Updated 8 months ago
- Workshop on Bayesian inference using PyMC☆27Updated 3 years ago
- ☆14Updated last year
- Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)☆10Updated 2 years ago