def __repr__(self):
"""String representation of `SKLLearnerWrapper`
"""
prefixes = [repr(self._skl_learner)]
if self.__tags__ != ['skl']:
prefixes += ['tags=%r' % [t for t in self.__tags__ if t != 'skl']]
prefixes += _repr_attrs(self, ['enforce_dim'])
return Classifier.__repr__(self, prefixes=prefixes)
def __repr__(self):
"""String representation of `SKLLearnerWrapper`
"""
return Classifier.__repr__(self, prefixes=[repr(self._skl_learner)])
def __repr__(self):
"""String representation of `SKLLearnerWrapper`
"""
return Classifier.__repr__(self,
prefixes=[repr(self._learner),
'kwargs=%r' % (self._kwargs,)])
