from hpsklearn import HyperoptEstimator, any_classifier, any_preprocessing
from hyperopt import tpe


estim = HyperoptEstimator(classifier=any_classifier('my_clf'),
                          preprocessing=any_preprocessing('my_pre'),
                          algo=tpe.suggest,
                          max_evals=100,
                          trial_timeout=120)

print(estim)

 File "C:\Users\ncshr\AppData\Local\Programs\Python\Python37-32\lib\site-packages\sklearn\base.py", line 260, in __repr__
    repr_ = pp.pformat(self)
  File "C:\Users\ncshr\AppData\Local\Programs\Python\Python37-32\Lib\pprint.py", line 144, in pformat
    self._format(object, sio, 0, 0, {}, 0)
  File "C:\Users\ncshr\AppData\Local\Programs\Python\Python37-32\Lib\pprint.py", line 161, in _format
    rep = self._repr(object, context, level)
  File "C:\Users\ncshr\AppData\Local\Programs\Python\Python37-32\Lib\pprint.py", line 393, in _repr
    self._depth, level)
  File "C:\Users\ncshr\AppData\Local\Programs\Python\Python37-32\lib\site-packages\sklearn\utils\_pprint.py", line 181, in format
    changed_only=self._changed_only)
  File "C:\Users\ncshr\AppData\Local\Programs\Python\Python37-32\lib\site-packages\sklearn\utils\_pprint.py", line 425, in _safe_repr
    params = _changed_params(object)
  File "C:\Users\ncshr\AppData\Local\Programs\Python\Python37-32\lib\site-packages\sklearn\utils\_pprint.py", line 91, in _changed_params
    params = estimator.get_params(deep=False)
  File "C:\Users\ncshr\AppData\Local\Programs\Python\Python37-32\lib\site-packages\sklearn\base.py", line 195, in get_params
    value = getattr(self, key)
AttributeError: 'hyperopt_estimator' object has no attribute 'classifier'