iml: interpretable machine learning R package
☆501Feb 24, 2025Updated last year
Alternatives and similar repositories for iml
Users that are interested in iml are comparing it to the libraries listed below
Sorting:
- moDel Agnostic Language for Exploration and eXplanation☆1,457Jan 20, 2026Updated last month
- Local Interpretable Model-Agnostic Explanations (R port of original Python package)☆492Dec 11, 2025Updated 2 months ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆44Dec 17, 2025Updated 2 months ago
- Classes and functions to create and summarize resampling objects☆340Jan 30, 2026Updated last month
- Variable Importance Plots (VIPs)☆190Dec 12, 2025Updated 2 months ago
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆98Jul 18, 2022Updated 3 years ago
- modelDown generates a website with HTML summaries for predictive models☆120Jul 8, 2022Updated 3 years ago
- mlr3: Machine Learning in R - next generation☆1,057Updated this week
- Machine Learning in R☆1,679Aug 22, 2025Updated 6 months ago
- Run predictions inside the database☆263Updated this week
- Model Agnostics breakDown plots☆104Mar 12, 2024Updated last year
- A tidy unified interface to models☆643Updated this week
- Tidy data structures, summaries, and visualisations for missing data☆671Apr 30, 2025Updated 10 months ago
- Tidy methods for measuring model performance☆398Feb 12, 2026Updated 2 weeks ago
- Fast approximate Shapley values in R☆130May 24, 2025Updated 9 months ago
- Pipeable steps for feature engineering and data preprocessing to prepare for modeling☆613Jan 5, 2026Updated last month
- Composable Preprocessing Operators for MLR☆37Jun 17, 2025Updated 8 months ago
- Hyperparameter optimization package of the mlr3 ecosystem☆59Feb 19, 2026Updated last week
- An R wrapper of SHAP python library☆58May 25, 2023Updated 2 years ago
- 👷♂️ A simple package for extracting useful features from character objects 👷♀️☆166Oct 12, 2020Updated 5 years ago
- Sliding Window Functions☆310Nov 14, 2025Updated 3 months ago
- A frictionless, pipeable approach to dealing with summary statistics☆1,139Jan 8, 2026Updated last month
- Apply Mapping Functions in Parallel using Futures☆739Feb 1, 2026Updated last month
- 🐳 Containerize R Markdown documents for continuous reproducibility☆173Mar 11, 2024Updated last year
- An R package for tidyverse-friendly statistical inference☆781Dec 18, 2025Updated 2 months ago
- Helper functions for modelling☆399Oct 31, 2023Updated 2 years ago
- Widen, process, and re-tidy a dataset☆333Nov 10, 2022Updated 3 years ago
- Explore correlations in R☆590Nov 8, 2025Updated 3 months ago
- "I'm beginning to feel like a strap god." - Eminem☆64Aug 9, 2021Updated 4 years ago
- Fast Disk-Based Parallelized Data Manipulation Framework for Larger-than-RAM Data☆597Sep 10, 2024Updated last year
- Parsnip backends for `tree`, `lightGBM` and `Catboost`☆86Apr 29, 2022Updated 3 years ago
- An R package that makes xgboost models fully interpretable☆258Jun 18, 2018Updated 7 years ago
- yet another experimental way of processing a data.frame rowwisely☆66Jun 3, 2019Updated 6 years ago
- Extra recipes for predictor embeddings☆144Jan 29, 2026Updated last month
- Tools for visualizing uncertainty with ggplot2☆157Mar 6, 2025Updated 11 months ago
- Lightning Fast Serialization of Data Frames for R☆627Sep 26, 2024Updated last year
- ☆147Apr 2, 2022Updated 3 years ago
- Fast reading of delimited files☆641Jan 29, 2026Updated last month
- R package: future: Unified Parallel and Distributed Processing in R for Everyone☆1,005Feb 19, 2026Updated last week