Use the 'H2O' machine learning library inside of 'modeltime'. Available models include 'AutoML' for Automatic Machine Learning. Please see H2O.ai for more information <https://github.com/h2oai/h2o-3>.
Version: | 0.1.1 |
Depends: | modeltime (≥ 0.4.1), h2o |
Imports: | magrittr, rlang (≥ 0.1.2), tibble, timetk (≥ 2.6.0), dplyr, parsnip (≥ 0.1.4), purrr, tidyr, stringr, stats, glue, fs |
Suggests: | tidymodels, workflows, tidyverse, knitr, rmarkdown, roxygen2, testthat (≥ 3.0.0), covr |
Published: | 2021-04-05 |
Author: | Matt Dancho [aut, cre], Business Science [cph] |
Maintainer: | Matt Dancho <mdancho at business-science.io> |
BugReports: | https://github.com/business-science/modeltime.h2o/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/business-science/modeltime.h2o |
NeedsCompilation: | no |
SystemRequirements: | Java (>= 8) |
Materials: | README NEWS |
CRAN checks: | modeltime.h2o results |
Reference manual: | modeltime.h2o.pdf |
Package source: | modeltime.h2o_0.1.1.tar.gz |
Windows binaries: | r-devel: modeltime.h2o_0.1.1.zip, r-release: modeltime.h2o_0.1.1.zip, r-oldrel: modeltime.h2o_0.1.1.zip |
macOS binaries: | r-release (arm64): modeltime.h2o_0.1.1.tgz, r-oldrel (arm64): modeltime.h2o_0.1.1.tgz, r-release (x86_64): modeltime.h2o_0.1.1.tgz, r-oldrel (x86_64): modeltime.h2o_0.1.1.tgz |
Old sources: | modeltime.h2o archive |
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