pub fn forecast_dimensions(mut self, input: impl Into<std::string::String>) -> Self {
            let mut v = self.forecast_dimensions.unwrap_or_default();
            v.push(input.into());
            self.forecast_dimensions = Some(v);
            self
        }
/// Appends an item to `forecast_dimensions`.
///
/// To override the contents of this collection use [`set_forecast_dimensions`](Self::set_forecast_dimensions).
///
/// <p>An array of dimension (field) names that specify how to group the generated forecast.</p>
/// <p>For example, suppose that you are generating a forecast for item sales across all of your stores, and your dataset contains a <code>store_id</code> field. If you want the sales forecast for each item by store, you would specify <code>store_id</code> as the dimension.</p>
/// <p>All forecast dimensions specified in the <code>TARGET_TIME_SERIES</code> dataset don't need to be specified in the <code>CreatePredictor</code> request. All forecast dimensions specified in the <code>RELATED_TIME_SERIES</code> dataset must be specified in the <code>CreatePredictor</code> request.</p>
Appends an item to `forecast_dimensions`.
To override the contents of this collection use [`set_forecast_dimensions`](Self::set_forecast_dimensions).

An array of dimension (field) names that specify how to group the generated forecast.
For example, suppose that you are generating a forecast for item sales across all of your stores, and your dataset contains a store_id field. If you want the sales forecast for each item by store, you would specify store_id as the dimension.
All forecast dimensions specified in the TARGET_TIME_SERIES dataset don't need to be specified in the CreatePredictor request. All forecast dimensions specified in the RELATED_TIME_SERIES dataset must be specified in the CreatePredictor request.
Appends an item to ` forecast_dimensions ` . To override the contents of this collection use [ ` set_forecast_dimensions ` ] ( Self :: set_forecast_dimensions ) . An array of dimension ( field ) names that specify how to group the generated forecast . For example suppose that you are generating a forecast for item sales across all of your stores and your dataset contains a store_id field . If you want the sales forecast for each item by store you would specify store_id as the dimension . All forecast dimensions specified in the TARGET_TIME_SERIES dataset don ' t need to be specified in the CreatePredictor request . All forecast dimensions specified in the RELATED_TIME_SERIES dataset must be specified in the CreatePredictor request .
pub fn forecast_dimensions(mut self, input: impl Into<std::string::String>) -> Self {
            let mut v = self.forecast_dimensions.unwrap_or_default();
            v.push(input.into());
            self.forecast_dimensions = Some(v);
            self
        }
pub fn forecast_dimensions ( mut self , input : impl Into < std :: string :: String > ) -> Self { let mut v = self . forecast_dimensions . unwrap_or_default ( ) ; v . push ( input . into ( ) ) ; self . forecast_dimensions = Some ( v ) ; self }
Appends an item to `forecast_dimensions`.
Appends an item to ` forecast_dimensions ` .
mut self
input
impl Into<std::string::String>
mut self
input
impl Into<std::string::String>