ShapleyR
Feature attribution tool
An R package for computing Shapley values to analyze feature contributions in machine learning models.
Package for a nice and smoothe usage of the shapley value for mlr
25 stars
3 watching
8 forks
Language: R
last commit: over 5 years ago mlrshapley
Related projects:
| Repository | Description | Stars |
|---|---|---|
 nredell/shapflex | A package for computing asymmetric Shapley values to assess causality in machine learning models | 71 |
 bgreenwell/fastshap | Provides an efficient approach to computing Shapley values for explaining machine learning model predictions. | 116 |
 benedekrozemberczki/shapley | An open-source Python library for evaluating and explaining the contribution of individual classifiers in machine learning ensembles. | 218 |
 amiratag/datashapley | Calculates fair valuation of individual training data points in machine learning models. | 259 |
 alexgutteridge/rsruby | A Ruby bridge to the R statistical programming environment | 332 |
 tianhongdai/integrated-gradient-pytorch | A PyTorch implementation of attributing the impact of inputs on deep neural network outputs | 181 |
 predictiveecology/reproducible | Tools for making R code more reproducible and reusable | 41 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,217 |
 giuseppec/featureimportance | A tool to assess feature importance in machine learning models | 33 |
 kefirski/pytorch_rvae | A deep learning implementation of a recurrent variational autoencoder for generating sequential data. | 357 |
 iancovert/sage | A Python package for calculating global feature importance using Shapley values in machine learning models | 253 |
 epistasislab/scikit-rebate | An implementation of Relief-based feature selection algorithms for Machine Learning. | 409 |
 m-clark/visibly | A collection of R visualization tools and utilities for creating color palettes, themes, and visualizing statistical models. | 62 |
 abhiamishra/ggshaker | A comprehensive R package for visualization and analysis of soccer data | 113 |
 philipmostert/pointedsdms | Tools for building and evaluating integrated species distribution models from disparate datasets | 24 |