Automate explanation of machine learning predictive models. This package generates advanced interactive and animated model explanations in the form of a serverless HTML site. It combines 'R' with 'D3.js' to produce plots and descriptions for various local and global explanations. Tools for model exploration unite with tools for EDA (Exploratory Data Analysis) to give a broad overview of the model behaviour. 'modelStudio' is a fast and condensed way to get all the answers without much effort. Break down your model and look into its ingredients with only a few lines of code.
Version: | 0.2.0 |
Depends: | R (≥ 3.5) |
Imports: | iBreakDown (≥ 0.9.9), ingredients (≥ 0.5), r2d3, jsonlite |
Suggests: | DALEX (≥ 0.4.9), parallelMap, randomForest, knitr, rmarkdown, testthat, spelling |
Published: | 2020-01-13 |
Author: | Hubert Baniecki |
Maintainer: | Hubert Baniecki <hbaniecki at gmail.com> |
BugReports: | https://github.com/ModelOriented/modelStudio/issues |
License: | GPL-2 |
URL: | https://ModelOriented.github.io/modelStudio/, https://github.com/ModelOriented/modelStudio |
NeedsCompilation: | no |
Language: | en-US |
Citation: | modelStudio citation info |
Materials: | NEWS |
CRAN checks: | modelStudio results |
Reference manual: | modelStudio.pdf |
Vignettes: |
modelStudio - perks and features |
Package source: | modelStudio_0.2.0.tar.gz |
Windows binaries: | r-devel: modelStudio_0.2.0.zip, r-devel-gcc8: modelStudio_0.2.0.zip, r-release: modelStudio_0.2.0.zip, r-oldrel: modelStudio_0.2.0.zip |
OS X binaries: | r-release: modelStudio_0.2.0.tgz, r-oldrel: modelStudio_0.2.0.tgz |
Old sources: | modelStudio archive |
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