def __repr__(self): """String representation of `SKLLearnerWrapper` """ return Classifier.__repr__( self, prefixes=[repr(self._learner), 'kwargs=%r' % (self._kwargs, )])
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._learner), 'kwargs=%r' % (self._kwargs,)])