An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
☆76Jun 9, 2020Updated 6 years ago
Alternatives and similar repositories for shapFlex
Users that are interested in shapFlex are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆44Dec 17, 2025Updated 7 months ago
- [PROTOTYPE] R package: marshal - Framework to Marshal Objects to be Used in Another R Processes☆15Apr 19, 2025Updated last year
- Explaining the output of machine learning models with more accurately estimated Shapley values☆178Aug 7, 2026Updated last week
- Fast approximate Shapley values in R☆137Jul 6, 2026Updated last month
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆102May 13, 2026Updated 3 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Friedman's H-statistics☆36Jan 1, 2026Updated 7 months ago
- Perform inference on algorithm-agnostic variable importance☆24May 18, 2026Updated 2 months ago
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms☆29Jan 31, 2026Updated 6 months ago
- ☆50Jun 28, 2023Updated 3 years ago
- ☆112Jul 29, 2026Updated 2 weeks ago
- ☆19Sep 25, 2024Updated last year
- Prediction Explanations Clustering☆10Oct 19, 2023Updated 2 years ago
- Variable transformation and harmonization for the Canadian Community Health Survey☆12Jul 17, 2026Updated 3 weeks ago
- Shap values for model interpretation☆68Dec 16, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Feb 12, 2024Updated 2 years ago
- ☆14Nov 27, 2025Updated 8 months ago
- Machine learning explanations☆25Oct 13, 2025Updated 10 months ago
- A Julia package for interpretable machine learning with stochastic Shapley values☆93May 6, 2024Updated 2 years ago
- Experimenting with various implementations and methods of nested cross-validation in R and Python☆16Oct 13, 2024Updated last year
- Tidymodels for Nested/Panel Data☆13Sep 30, 2023Updated 2 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Aug 6, 2022Updated 4 years ago
- Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition☆16Nov 26, 2019Updated 6 years ago
- Package for a nice and smoothe usage of the shapley value for mlr☆26Mar 5, 2019Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ShapleyVIC: Shapley Variable Importance Cloud for Interpretable Machine Learning☆19Jun 6, 2024Updated 2 years ago
- An R package to support designing efficient Discrete Choice Experiments. Experimental designs can be formed on the basis of orthogonal ar…☆14Jul 29, 2024Updated 2 years ago
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1☆16Apr 17, 2020Updated 6 years ago
- ☆14Jun 11, 2018Updated 8 years ago
- R package implementing MCMC estimation of the two-parameter IRT model on GPUs☆14Aug 19, 2019Updated 6 years ago
- Time-series functionality based on nanotime and data.table☆15Aug 10, 2026Updated last week
- A Lightweight, Flexible, and Fast Data Validation Package that Can Handle Data of all Sizes☆31Apr 10, 2026Updated 4 months ago
- ggtrendline: An R Package for Adding Trendline and Confidence Interval to 'ggplot'.☆28May 4, 2022Updated 4 years ago
- AntakIA is THE tool to explain an ML model or replace it with a collection of basic explainable models.☆14Jun 15, 2026Updated 2 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Nonlinear regression in Julia☆18Mar 30, 2020Updated 6 years ago
- R interface for XGBoost on Spark☆46Sep 11, 2025Updated 11 months ago
- Create legends for maps and other graphics.☆17May 18, 2026Updated 2 months ago
- A JupyterLab gallery for presenting and downloading examples☆12Feb 27, 2026Updated 5 months ago
- ☆16Oct 23, 2024Updated last year
- Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.☆30Updated this week
- A lightweight implementation of removal-based explanations for ML models.☆59Jul 19, 2021Updated 5 years ago