modeltime: tbats_fit_impl – R documentation

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tbats_fit_impl

Low-Level tbats function for translating modeltime to forecast

Low-Level tbats function for translating modeltime to forecast

tbats_fit_impl(
  x,
  y,
  period_1 = "auto",
  period_2 = NULL,
  period_3 = NULL,
  use.parallel = length(y) > 1000,
  ...
)

`x`	A dataframe of xreg (exogenous regressors)
`y`	A numeric vector of values to fit
`period_1`	(required) First seasonal frequency. Uses "auto" by default. A character phrase of "auto" or time-based phrase of "2 weeks" can be used if a date or date-time variable is provided.
`period_2`	(optional) First seasonal frequency. Uses "auto" by default. A character phrase of "auto" or time-based phrase of "2 weeks" can be used if a date or date-time variable is provided.
`period_3`	(optional) First seasonal frequency. Uses "auto" by default. A character phrase of "auto" or time-based phrase of "2 weeks" can be used if a date or date-time variable is provided.
`use.parallel`	`TRUE/FALSE` indicates whether or not to use parallel processing.
`...`	Additional arguments passed to `forecast::tbats()`

The Tidymodels Extension for Time Series Modeling

v0.5.1

MIT + file LICENSE

Authors

Matt Dancho [aut, cre], Business Science [cph]

Initial release