'Setting the parameters for the voting classifier
Valid parameter keys can be listed with get_params().
Parameters
params: keyword arguments
Specific parameters using e.g. set_params(parameter_name=new_value)
In addition, to setting the parameters of the ``VotingClassifier``,
the individual classifiers of the ``VotingClassifier`` can also be
set or replaced by setting them to None.
Examples
# In this example, the RandomForestClassifier is removed
clf1 = LogisticRegression()
clf2 = RandomForestClassifier()
eclf = VotingClassifier(estimators=[(\'lr\', clf1), (\'rf\', clf2)]
eclf.set_params(rf=None)'

def set_params(self, **params):

    super(VotingClassifier, self)._set_params('estimators', **params)
    return self
