For working with the DataRobot predictive modeling platform's <https://app.datarobot.com> API.
| Version: | 2.6.0 |
| Depends: | R (≥ 3.1.1), methods |
| Imports: | httr (≥ 1.0), jsonlite (≥ 0.9.19), yaml (≥ 2.1.13) |
| Suggests: | knitr, MASS, testthat, beanplot, mlbench, car, rmarkdown, insuranceData, doBy, lintr, stubthat, data.table |
| Published: | 2017-04-16 |
| Author: | Ron Pearson [aut], Zachary Deane-Mayer [aut], David Chudzicki [aut], Dallin Akagi [aut], Sergey Yurgenson [aut] |
| Maintainer: | Sergey Yurgenson <api-maintainer at datarobot.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | WebTechnologies |
| CRAN checks: | datarobot results |
| Reference manual: | datarobot.pdf |
| Vignettes: |
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_2.6.0.tar.gz |
| Windows binaries: | r-devel: datarobot_2.6.0.zip, r-release: datarobot_2.6.0.zip, r-oldrel: datarobot_2.6.0.zip |
| OS X El Capitan binaries: | r-release: datarobot_2.6.0.tgz |
| OS X Mavericks binaries: | r-oldrel: datarobot_2.6.0.tgz |
| Old sources: | datarobot archive |
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