parameters: (self)
return_statement: return [sample_indices
                  for _, sample_indices in self._get_estimators_indices()]
docstring: The subset of drawn samples for each base estimator.
  
          Returns a dynamically generated list of indices identifying
          the samples used for fitting each member of the ensemble, i.e.,
          the in-bag samples.
  
          Note: the list is re-created at each call to the property in order
          to reduce the object memory footprint by not storing the sampling
          data. Thus fetching the property may be slower than expected.
docstring_summary: The subset of drawn samples for each base estimator.
docstring_tokens: The subset of drawn samples for each base estimator .
function: def estimators_samples_(self):
          """
          The subset of drawn samples for each base estimator.
  
          Returns a dynamically generated list of indices identifying
          the samples used for fitting each member of the ensemble, i.e.,
          the in-bag samples.
  
          Note: the list is re-created at each call to the property in order
          to reduce the object memory footprint by not storing the sampling
          data. Thus fetching the property may be slower than expected.
          """
          return [sample_indices
                  for _, sample_indices in self._get_estimators_indices()]
function_tokens: def estimators_samples_ ( self ) : return [ sample_indices for _ , sample_indices in self . _get_estimators_indices ( ) ]