original_docstring: 
      Calculates the MAE after rescaling the data.
      
docstring: Calculates the MAE after rescaling the data.
docstring_tokens: Calculates the MAE after rescaling the data .
code: def rescaled_mae(scaler, preds, true_vals, orig_columns=5):
      """
      Calculates the MAE after rescaling the data.
      """
      preds_rs = dm.rescale(scaler, preds, orig_columns)
      true_vals_rs = dm.rescale(scaler, true_vals, orig_columns)
      return mean_absolute_error(true_vals_rs, preds_rs)
code_tokens: def rescaled_mae ( scaler , preds , true_vals , orig_columns = 5 ) : preds_rs = dm . rescale ( scaler , preds , orig_columns ) true_vals_rs = dm . rescale ( scaler , true_vals , orig_columns ) return mean_absolute_error ( true_vals_rs , preds_rs )
short_docstring: Calculates the MAE after rescaling the data.
short_docstring_tokens: Calculates the MAE after rescaling the data .
comment: """
      Calculates the MAE after rescaling the data.
      """