parameters: (self, deep=True)
docstring: Return estimator parameter names for GridSearch support
docstring_summary: Return estimator parameter names for GridSearch support
docstring_tokens: Return estimator parameter names for GridSearch support
function: def get_params(self, deep=True):
          """Return estimator parameter names for GridSearch support"""
          if not deep:
              return super(VotingClassifier, self).get_params(deep=False)
          else:
              out = super(VotingClassifier, self).get_params(deep=False)
              out.update(self.named_estimators.copy())
              for name, step in six.iteritems(self.named_estimators):
                  for key, value in six.iteritems(step.get_params(deep=True)):
                      out['%s__%s' % (name, key)] = value
              return out
function_tokens: def get_params ( self , deep = True ) : if not deep : return super ( VotingClassifier , self ) . get_params ( deep = False ) else : out = super ( VotingClassifier , self ) . get_params ( deep = False ) out . update ( self . named_estimators . copy ( ) ) for name , step in six . iteritems ( self . named_estimators ) : for key , value in six . iteritems ( step . get_params ( deep = True ) ) : out [ '%s__%s' % ( name , key ) ] = value return out