parameters: (self, variance)
docstring: Scale back variances according to stats (model scale -> input scale).
docstring_summary: Scale back variances according to stats (model scale -> input scale).
docstring_tokens: Scale back variances according to stats ( model scale - > input scale ) .
function: def _scale_back_variance(self, variance):
      """Scale back variances according to stats (model scale -> input scale)."""
      if self._input_statistics is not None:
        return variance * self._input_statistics.overall_feature_moments.variance
      else:
        return variance
function_tokens: def _scale_back_variance ( self , variance ) : if self . _input_statistics is not None : return variance * self . _input_statistics . overall_feature_moments . variance else : return variance