datarobot: DataRobot Predictive Modeling API

For working with the 'DataRobot' predictive modeling platform's API <>.

Version: 2.7.1
Depends: R (≥ 3.1.1), methods
Imports: httr (≥ 1.0), jsonlite (≥ 1.0), yaml (≥ 2.1.13), curl (≥ 1.1)
Suggests: knitr, testthat, lintr, stubthat, data.table, car, MASS, mlbench, beanplot, doBy, insuranceData, rmarkdown, ggplot2, colormap, modelwordcloud
Published: 2017-09-20
Author: Ron Pearson [aut], Zachary Deane-Mayer [aut], David Chudzicki [aut], Dallin Akagi [aut], Sergey Yurgenson [aut], Thakur Raj Anand [aut]
Maintainer: Sergey Yurgenson <api-maintainer at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
In views: WebTechnologies
CRAN checks: datarobot results


Reference manual: datarobot.pdf
Vignettes: Advance Model Insights
Using Many Models to Compare Datasets
Datetime Partitioning
Introduction to the DataRobot R Package
Interpreting Predictive Models Using Partial Dependence Plots
Using Reason Codes
Assessing Variable Importance for Predictive Models of Arbitrary Type
Package source: datarobot_2.7.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: datarobot_2.7.1.tgz
OS X Mavericks binaries: r-oldrel: datarobot_2.7.1.tgz
Old sources: datarobot archive


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