def get_params(self, deep=True):
        if not deep:
            return super(EnsembleVoteClassifier, self).get_params(deep=False)
        else:
            out = self.named_clfs.copy()
            for name, step in six.iteritems(self.named_clfs):
                for key, value in six.iteritems(step.get_params(deep=True)):
                    out['%s__%s' % (name, key)] = value
            return out
Remove data layers from an svg object prior to rendering
dataset/ETHPy150Open rasbt/mlxtend/mlxtend/classifier/ensemble_vote.py/EnsembleVoteClassifier.get_params--crossover with--dataset/ETHPy150Open gallantlab/pycortex/cortex/svgroi.py/scrub