# Tuning Parameters for Time Series (ts-class) Models

Source:`R/dials-ts_params.R`

`time_series_params.Rd`

Tuning Parameters for Time Series (ts-class) Models

## Usage

`seasonal_period(values = c("none", "daily", "weekly", "yearly"))`

## Details

Time series models (e.g. `Arima()`

and `ets()`

) use `stats::ts()`

or `forecast::msts()`

to apply seasonality. We can do the same process using the following
general time series parameter:

`period`

: The periodic nature of the seasonality.

It's usually best practice to *not* tune this parameter, but rather set
to obvious values based on the seasonality of the data:

**Daily Seasonality:**Often used with**hourly data**(e.g. 24 hourly timestamps per day)**Weekly Seasonality:**Often used with**daily data**(e.g. 7 daily timestamps per week)**Yearly Seasonalty:**Often used with**weekly, monthly, and quarterly data**(e.g. 12 monthly observations per year).

However, in the event that users want to experiment with period tuning, you
can do so with `seasonal_period()`

.