pub fn transformations(
        &self,
    ) -> std::option::Option<&std::collections::HashMap<std::string::String, std::string::String>>
    {
        self.transformations.as_ref()
    }
/// <p>The method parameters (key-value pairs), which are a map of override parameters. Specify these parameters to override the default values. Related Time Series attributes do not accept aggregation parameters.</p>
/// <p>The following list shows the parameters and their valid values for the "filling" featurization method for a <b>Target Time Series</b> dataset. Default values are bolded.</p>
/// <ul>
/// <li> <p> <code>aggregation</code>: <b>sum</b>, <code>avg</code>, <code>first</code>, <code>min</code>, <code>max</code> </p> </li>
/// <li> <p> <code>frontfill</code>: <b>none</b> </p> </li>
/// <li> <p> <code>middlefill</code>: <b>zero</b>, <code>nan</code> (not a number), <code>value</code>, <code>median</code>, <code>mean</code>, <code>min</code>, <code>max</code> </p> </li>
/// <li> <p> <code>backfill</code>: <b>zero</b>, <code>nan</code>, <code>value</code>, <code>median</code>, <code>mean</code>, <code>min</code>, <code>max</code> </p> </li>
/// </ul>
/// <p>The following list shows the parameters and their valid values for a <b>Related Time Series</b> featurization method (there are no defaults):</p>
/// <ul>
/// <li> <p> <code>middlefill</code>: <code>zero</code>, <code>value</code>, <code>median</code>, <code>mean</code>, <code>min</code>, <code>max</code> </p> </li>
/// <li> <p> <code>backfill</code>: <code>zero</code>, <code>value</code>, <code>median</code>, <code>mean</code>, <code>min</code>, <code>max</code> </p> </li>
/// <li> <p> <code>futurefill</code>: <code>zero</code>, <code>value</code>, <code>median</code>, <code>mean</code>, <code>min</code>, <code>max</code> </p> </li>
/// </ul>
/// <p>To set a filling method to a specific value, set the fill parameter to <code>value</code> and define the value in a corresponding <code>_value</code> parameter. For example, to set backfilling to a value of 2, include the following: <code>"backfill": "value"</code> and <code>"backfill_value":"2"</code>. </p>
The method parameters (key-value pairs), which are a map of override parameters. Specify these parameters to override the default values. Related Time Series attributes do not accept aggregation parameters.
The following list shows the parameters and their valid values for the "filling" featurization method for a Target Time Series dataset.
The method parameters ( key - value pairs ) which are a map of override parameters . Specify these parameters to override the default values . Related Time Series attributes do not accept aggregation parameters . The following list shows the parameters and their valid values for the " filling " featurization method for a Target Time Series dataset .
pub fn transformations(
        &self,
    ) -> std::option::Option<&std::collections::HashMap<std::string::String, std::string::String>>
    {
        self.transformations.as_ref()
    }
pub fn transformations ( & self , ) -> std :: option :: Option < & std :: collections :: HashMap < std :: string :: String , std :: string :: String > > { self . transformations . as_ref ( ) }
<p>The method parameters (key-value pairs), which are a map of override parameters.
<p > The method parameters ( key - value pairs ) which are a map of override parameters .
&self
&self