For working with the 'DataRobot' predictive modeling platform's API <https://www.datarobot.com/>.
| Version: | 2.17.1 |
| Depends: | R (≥ 3.1.1), methods, stats |
| Imports: | httr (≥ 1.2.0), jsonlite (≥ 1.0), yaml (≥ 2.1.13) |
| Suggests: | knitr, testthat, lintr, stubthat, data.table, MASS, mlbench, beanplot, doBy, insuranceData, rmarkdown, ggplot2, modelwordcloud, withr, memoise, rex |
| Published: | 2020-07-01 |
| Author: | Ron Pearson [aut], Zachary Deane-Mayer [aut], David Chudzicki [aut], Dallin Akagi [aut], Sergey Yurgenson [aut], Thakur Raj Anand [aut], Peter Hurford [aut], Chester Ismay [aut] |
| Maintainer: | Chester Ismay <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: |
Advanced Tuning for Models Advanced Model Insights Using Calendars Using Many Models to Compare Datasets Compliance Documentation Datetime Partitioning Introduction to Model Deployment Introduction to the DataRobot R Package Introduction to Multiclass Interpreting Predictive Models Using Partial Dependence Plots Using Prediction Explanations Using Rating Tables Introduction to Time Series Using Training Predictions Assessing Variable Importance for Predictive Models of Arbitrary Type |
| Package source: | datarobot_2.17.1.tar.gz |
| Windows binaries: | r-devel: datarobot_2.17.1.zip, r-release: datarobot_2.17.1.zip, r-oldrel: datarobot_2.17.1.zip |
| macOS binaries: | r-release: datarobot_2.17.1.tgz, r-oldrel: datarobot_2.17.1.tgz |
| Old sources: | datarobot archive |
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