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
- 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 9 months ago
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆25Updated 7 years ago
- Code related to different aspects of conformal learning☆15Updated last year
- Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.☆11Updated 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
- SXL: Spatially explicit learning of geographic processes with auxiliary tasks☆14Updated 2 years ago
- ☆11Updated 2 years ago
- ☆13Updated last year
- ☆15Updated last year
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated 4 months ago
- Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.☆23Updated 4 years ago
- A Python Package for Probabilistic Prediction☆22Updated 3 years ago
- ☆10Updated 3 years ago
- ☆28Updated 2 years ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆43Updated 2 years ago
- Nonlinear Granger causality using machine learning techniques☆16Updated last year
- Companion code for a tutorial on using Hydra.☆27Updated 3 years ago
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 2 years ago
- multilevel spatially-correlated variance components models☆17Updated 4 months ago
- A small wrapper to do Beta Boosting with XgBoost☆15Updated 3 years ago
- Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters☆39Updated 5 years ago
- ☆10Updated 4 years ago
- Jupyter Notebooks for Adv. Predictive Modeling Course☆15Updated 7 years ago
- ☆24Updated 2 years ago
- 🛰 Deep learning for deforestation classification and forecasting in satellite imagery☆25Updated last year
- Distributional Gradient Boosting Machines☆26Updated last year
- ☆13Updated 4 years ago
- ☆10Updated last month
- ☆17Updated 3 years ago