datarobot: 'DataRobot' Predictive Modeling API

For working with the 'DataRobot' predictive modeling platform's API <https://www.datarobot.com/>.

Version: 2.14.1
Depends: R (≥ 3.1.1), methods, stats
Imports: httr (≥ 1.2.0), 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, withr, memoise, rex
Published: 2019-08-02
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

Downloads:

Reference manual: datarobot.pdf
Vignettes: Advanced Tuning for Models
Advance Model Insights
Using Many Models to Compare Datasets
Compliance Documentation
Datetime Partitioning
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_2.14.1.tar.gz
Windows binaries: r-devel: datarobot_2.14.1.zip, r-release: datarobot_2.14.1.zip, r-oldrel: datarobot_2.14.1.zip
OS X binaries: r-release: datarobot_2.14.1.tgz, r-oldrel: datarobot_2.14.1.tgz
Old sources: datarobot archive

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