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>).
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0.1.0 by Matt Dancho, a year ago
https://github.com/business-science/modeltime.gluonts
Report a bug at https://github.com/business-science/modeltime.gluonts/issues
Browse source code at https://github.com/cran/modeltime.gluonts
Authors: Matt Dancho [aut, cre] , Business Science [cph]
Documentation: PDF Manual
MIT + file LICENSE license
Imports parsnip, timetk, magrittr, rlang, reticulate, tibble, forcats, dplyr, tidyr, purrr, stringr, glue, fs
Depends on modeltime
Suggests tidyverse, tidymodels, knitr, rmarkdown, roxygen2, testthat
See at CRAN