modelStudio: Interactive Studio for Explanatory Model Analysis

Automate the explanatory analysis of machine learning predictive models. Generate advanced interactive and animated model explanations in the form of a serverless HTML site with only one line of code. This tool is model agnostic, therefore compatible with most of the black box predictive models and frameworks. The main function computes various (instance and dataset level) model explanations and produces an interactive, customisable dashboard. It consists of multiple panels for plots with their short descriptions. Easily save and share the dashboard with others. Tools for model exploration unite with tools for Exploratory Data Analysis to give a broad overview of the model behavior.

Version:	1.2.0
Depends:	R (≥ 3.5)
Imports:	iBreakDown (≥ 1.1.0), ingredients (≥ 1.0.0), r2d3, jsonlite, progress, digest
Suggests:	DALEX (≥ 1.0), parallelMap, ranger, xgboost, knitr, rmarkdown, testthat, spelling
Published:	2020-07-15
Author:	Hubert Baniecki [aut, cre], Przemyslaw Biecek [aut]
Maintainer:	Hubert Baniecki <hbaniecki at gmail.com>
BugReports:	https://github.com/ModelOriented/modelStudio/issues
License:	GPL-3
URL:	https://modelstudio.drwhy.ai, https://github.com/ModelOriented/modelStudio
NeedsCompilation:	no
Language:	en-US
Citation:	modelStudio citation info
Materials:	NEWS
CRAN checks:	modelStudio results

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