lrjball / shap
A game theoretic approach to explain the output of any machine learning model.
☆14Updated 3 years ago
Alternatives and similar repositories for shap:
Users that are interested in shap are comparing it to the libraries listed below
- Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.☆11Updated 2 years ago
- Implementation of the Rotation Forest by Rodriques et al. 2006☆28Updated last year
- ☆13Updated last year
- A small wrapper to do Beta Boosting with XgBoost☆15Updated 3 years ago
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆19Updated 2 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆25Updated 7 years ago
- SXL: Spatially explicit learning of geographic processes with auxiliary tasks☆14Updated 3 years ago
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆26Updated 4 years ago
- A Python package for fitting Quinlan's Cubist regression model☆47Updated last month
- ☆29Updated 3 years ago
- ☆10Updated 4 years ago
- Jupyter Notebooks for Adv. Predictive Modeling Course☆15Updated 8 years ago
- Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀☆18Updated 2 years ago
- GAMI-Net: Generalized Additive Models with Structured Interactions☆31Updated 2 years ago
- Distributional Gradient Boosting Machines☆26Updated 2 years ago
- A straightforward implementation of EGBM-based Generalized Additive Model☆13Updated 4 years ago
- Compute set of important operations for HCTSA code☆26Updated 5 years ago
- This is the repo for a python package that does model comparison between different regression models.☆22Updated 7 years ago
- scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python☆43Updated 3 years ago
- ☆13Updated 4 years ago
- Package implementing Convergent Cross Mapping for causality inference in dynamical systems☆46Updated last year
- Implementation of the Orthogonal Instantaneous Linear Mixing Model☆9Updated 2 years ago
- Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters☆41Updated 5 years ago
- ☆10Updated 2 years ago
- ☆25Updated 2 years ago
- Keras 101: A simple Neural Network for House Pricing regression☆15Updated 5 years ago
- Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)☆10Updated 3 years ago
- Automatic missing value imputation using random forests☆14Updated 9 years ago
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆22Updated 7 months ago