For working with the 'DataRobot' predictive modeling platform's API <https://www.datarobot.com/>.
| Version: | 2.8.0 |
| Depends: | R (≥ 3.1.1), methods, stats |
| 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: | 2018-01-17 |
| Author: | Ron Pearson [aut], Zachary Deane-Mayer [aut], David Chudzicki [aut], Dallin Akagi [aut], Sergey Yurgenson [aut], Thakur Raj Anand [aut], Peter Hurford [aut] |
| Maintainer: | Peter Hurford <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: |
Advance Model Insights Using Many Models to Compare Datasets Datetime Partitioning Introduction to the DataRobot R Package Using Rating Tables Interpreting Predictive Models Using Partial Dependence Plots Using Rating Tables Using Reason Codes Introduction to Time Series Using Training Predictions Assessing Variable Importance for Predictive Models of Arbitrary Type |
| Package source: | datarobot_2.8.0.tar.gz |
| Windows binaries: | r-devel: datarobot_2.8.0.zip, r-release: datarobot_2.8.0.zip, r-oldrel: datarobot_2.8.0.zip |
| OS X El Capitan binaries: | r-release: datarobot_2.8.0.tgz |
| OS X Mavericks binaries: | r-oldrel: datarobot_2.7.1.tgz |
| Old sources: | datarobot archive |
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