datarobot: 'DataRobot' Predictive Modeling API

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

Version:	2.18.6
Depends:	R (≥ 3.5), methods, stats
Imports:	httr (≥ 1.2.0), jsonlite (≥ 1.0), yaml (≥ 2.1.19)
Suggests:	lubridate, knitr, testthat, lintr, data.table, AmesHousing, mlbench, beanplot, doBy, insuranceData, rmarkdown, ggplot2, modelwordcloud, withr, memoise
Published:	2024-03-13
DOI:	10.32614/CRAN.package.datarobot
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], AJ Alon [aut], Andrew Watson [aut], Gregory Williams [aut], Anastasiia Tamazlykar [ctb], Mykhailo Poliakov [ctb], DataRobot, Inc. [cph]
Maintainer:	AJ Alon <api-maintainer at datarobot.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Language:	en-US
Materials:	NEWS
In views:	WebTechnologies
CRAN checks:	datarobot results

Documentation:

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

Downloads:

Package source:	datarobot_2.18.6.tar.gz
Windows binaries:	r-devel: datarobot_2.18.6.zip, r-release: datarobot_2.18.6.zip, r-oldrel: datarobot_2.18.6.zip
macOS binaries:	r-release (arm64): datarobot_2.18.6.tgz, r-oldrel (arm64): datarobot_2.18.6.tgz, r-release (x86_64): datarobot_2.18.6.tgz, r-oldrel (x86_64): datarobot_2.18.6.tgz
Old sources:	datarobot archive

Linking:

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