iml

Model explainer

Provides methods to interpret and explain the behavior of machine learning models

iml: interpretable machine learning R package

GitHub

492 stars
23 watching
88 forks
Language: R
last commit: about 1 month ago
Linked from 2 awesome lists


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
modeloriented/modelstudio A tool for creating interactive, model-agnostic explanations of machine learning models in R 326
csinva/imodels An open-source package that provides interpretable machine learning models compatible with scikit-learn. 1,399
scicloj/scicloj.ml.clj-djl Provides pre-trained machine learning models for natural language processing tasks using Clojure and the clj-djl framework. 0
mayer79/flashlight A toolset for understanding and interpreting complex machine learning models 22
modeloriented/ibreakdown A tool for explaining predictions from machine learning models by attributing them to specific input variables and their interactions. 81
pbiecek/xaiaterum2020 An R package and workshop materials for explaining machine learning models using explainable AI techniques 52
interpretml/dice Provides counterfactual explanations for machine learning models to facilitate interpretability and understanding. 1,364
giuseppec/featureimportance A tool to assess feature importance in machine learning models 33
rmarko/explainprediction An R package for explaining the predictions made by machine learning models in data science applications. 2
thomasp85/lime An R package for providing explanations of predictions made by black box classifiers. 485
jalammar/ecco An interactive visualization library for exploring and understanding transformer-based language models 1,985
modeloriented/dalex A tool to help understand and explain the behavior of complex machine learning models 1,375
h2oai/mli-resources Provides tools and techniques for interpreting machine learning models 484
lantanacamara/lightgbmexplainer An R package to provide interpretability features for LightGBM models. 23
fuxiaoliu/mmc Develops a large-scale dataset and benchmark for training multimodal chart understanding models using large language models. 84