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: almost 6 years ago mlrshapley
Related projects:
Repository | Description | Stars |
---|---|---|
| A package for computing asymmetric Shapley values to assess causality in machine learning models | 72 |
| Provides an efficient approach to computing Shapley values for explaining machine learning model predictions. | 116 |
| An open-source Python library for evaluating and explaining the contribution of individual classifiers in machine learning ensembles. | 219 |
| Calculates fair valuation of individual training data points in machine learning models. | 259 |
| A Ruby bridge to the R statistical programming environment | 332 |
| A PyTorch implementation of attributing the impact of inputs on deep neural network outputs | 182 |
| Tools for making R code more reproducible and reusable | 41 |
| A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
| A tool to assess feature importance in machine learning models | 33 |
| A deep learning implementation of a recurrent variational autoencoder for generating sequential data. | 357 |
| A Python package for calculating global feature importance using Shapley values in machine learning models | 256 |
| An implementation of Relief-based feature selection algorithms for Machine Learning. | 413 |
| A collection of R visualization tools and utilities for creating color palettes, themes, and visualizing statistical models. | 63 |
| A comprehensive R package for visualization and analysis of soccer data | 114 |
| Tools for building and evaluating integrated species distribution models from disparate datasets | 25 |