class_docstr: Prediction results
  
  Parameters
  ----------
  predicted_mean : {ndarray, Series, DataFrame}
      The predicted mean values
  var_pred_mean : {ndarray, Series, DataFrame}
      The variance of the predicted mean values
  dist : {None, "norm", "t", rv_frozen}
      The distribution to use when constructing prediction intervals.
      Default is normal.
  df : int, optional
      The degree of freedom parameter for the t. Not used if dist is None,
      "norm" or a callable.
  row_labels : {Sequence[Hashable], pd.Index}
      Row labels to use for the summary frame. If None, attempts to read the
      index of ``predicted_mean``
docstr: The variance of the predicted mean
docstr_tok: ["The","variance","of","the","predicted","mean"]
code: def var_pred_mean(self):
      """The variance of the predicted mean"""
      if self._var_pred_mean.ndim > 2:
          return self._var_pred_mean
      return self._wrap_pandas(self._var_pred_mean, "var_pred_mean")
  
file_path: statsmodels/statsmodels/tsa/base/prediction.py
imports: import numpy
  import pandas
  from scipy import stats
label_desc: Use image node_id 5 for calling the PredictionResults obj's underlying member method code with example usage: obj.var_pred_mean() and returns: self, self