---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-105-9dea7c488bbf> in <module>
----> 1 search.fit(train_final[X_cols_train], train_final['target'])

~/env/lib/python3.5/site-packages/dask_ml/model_selection/_incremental.py in fit(self, X, y, **fit_params)
    572             Additional partial fit keyword arguments for the estimator.
    573         """
--> 574         return default_client().sync(self._fit, X, y, **fit_params)
    575 
    576     @if_delegate_has_method(delegate=("best_estimator_", "estimator"))

~/env/lib/python3.5/site-packages/distributed/client.py in sync(self, func, *args, **kwargs)
    671             return future
    672         else:
--> 673             return sync(self.loop, func, *args, **kwargs)
    674 
    675     def __repr__(self):

~/env/lib/python3.5/site-packages/distributed/utils.py in sync(loop, func, *args, **kwargs)
    275             e.wait(10)
    276     if error[0]:
--> 277         six.reraise(*error[0])
    278     else:
    279         return result[0]

~/env/lib/python3.5/site-packages/six.py in reraise(tp, value, tb)
    691             if value.__traceback__ is not tb:
    692                 raise value.with_traceback(tb)
--> 693             raise value
    694         finally:
    695             value = None

~/env/lib/python3.5/site-packages/distributed/utils.py in f()
    260             if timeout is not None:
    261                 future = gen.with_timeout(timedelta(seconds=timeout), future)
--> 262             result[0] = yield future
    263         except Exception as exc:
    264             error[0] = sys.exc_info()

~/env/lib/python3.5/site-packages/tornado/gen.py in run(self)
   1131 
   1132                     try:
-> 1133                         value = future.result()
   1134                     except Exception:
   1135                         self.had_exception = True

/usr/lib/python3.5/asyncio/futures.py in result(self)
    291             self._tb_logger = None
    292         if self._exception is not None:
--> 293             raise self._exception
    294         return self._result
    295 

~/env/lib/python3.5/site-packages/tornado/gen.py in wrapper(*args, **kwargs)
    324                 try:
    325                     orig_stack_contexts = stack_context._state.contexts
--> 326                     yielded = next(result)
    327                     if stack_context._state.contexts is not orig_stack_contexts:
    328                         yielded = _create_future()

~/env/lib/python3.5/site-packages/dask_ml/model_selection/_incremental.py in _fit(self, X, y, **fit_params)
    522     @gen.coroutine
    523     def _fit(self, X, y, **fit_params):
--> 524         X, y = self._check_array(X, y)
    525 
    526         X_train, X_test, y_train, y_test = self._get_train_test_split(X, y)

~/env/lib/python3.5/site-packages/dask_ml/model_selection/_incremental.py in _check_array(self, X, y, **kwargs)
    437         if isinstance(y, np.ndarray):
    438             y = da.from_array(y, y.shape)
--> 439         X = check_array(X, **kwargs)
    440         kwargs["ensure_2d"] = False
    441         y = check_array(y, **kwargs)

~/env/lib/python3.5/site-packages/dask_ml/utils.py in check_array(array, *args, **kwargs)
    149     elif isinstance(array, dd.DataFrame):
    150         if not accept_dask_dataframe:
--> 151             raise TypeError("This estimator does not support dask dataframes.")
    152         # TODO: sample?
    153         return array

TypeError: This estimator does not support dask dataframes.