Package: modeltime.gluonts
Type: Package
Title: 'GluonTS' Deep Learning
Version: 0.1.0
Authors@R: c(
    person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut", "cre")),
    person("Business Science", role = "cph"))
Description: 
    Use the 'GluonTS' deep learning library inside of 'modeltime'.
    Available models include 'DeepAR', 'N-BEATS', and 'N-BEATS' Ensemble. 
    Refer to "GluonTS - Probabilistic Time Series Modeling" 
    (<https://ts.gluon.ai/index.html>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: modeltime (>= 0.3.1)
Imports: parsnip, timetk, magrittr, rlang (>= 0.1.2), reticulate,
        tibble, forcats, dplyr, tidyr, purrr, stringr, glue, fs
Suggests: tidyverse, tidymodels, knitr, rmarkdown, roxygen2, testthat
VignetteBuilder: knitr
URL: https://github.com/business-science/modeltime.gluonts
BugReports: https://github.com/business-science/modeltime.gluonts/issues
NeedsCompilation: no
Packaged: 2020-11-27 17:12:13 UTC; mdancho
Author: Matt Dancho [aut, cre],
  Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>
Repository: CRAN
Date/Publication: 2020-11-30 09:40:02 UTC
Built: R 3.6.3; ; 2021-05-12 23:32:02 UTC; windows
