---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-32-4988fa5b3e0a> in <module>
      1 # Fit the model
      2 # Fails at model 10 with: ValueError: All integer values shouldbe greater than 0.000000
----> 3 result = bayes_cv_tuner.fit(X, y, callback=status_print)

~/anaconda3/envs/lgbm/lib/python3.7/site-packages/skopt/searchcv.py in fit(self, X, y, groups, callback)
    678                 optim_result = self._step(
    679                     X, y, search_space, optimizer,
--> 680                     groups=groups, n_points=n_points_adjusted
    681                 )
    682                 n_iter -= n_points

~/anaconda3/envs/lgbm/lib/python3.7/site-packages/skopt/searchcv.py in _step(self, X, y, search_space, optimizer, groups, n_points)
    550 
    551         # get parameter values to evaluate
--> 552         params = optimizer.ask(n_points=n_points)
    553 
    554         # convert parameters to python native types

~/anaconda3/envs/lgbm/lib/python3.7/site-packages/skopt/optimizer/optimizer.py in ask(self, n_points, strategy)
    380                 opt._tell(x, (y_lie, t_lie))
    381             else:
--> 382                 opt._tell(x, y_lie)
    383 
    384         self.cache_ = {(n_points, strategy): X}  # cache_ the result

~/anaconda3/envs/lgbm/lib/python3.7/site-packages/skopt/optimizer/optimizer.py in _tell(self, x, y, fit)
    511             # of points and then pick the best ones as starting points
    512             X = self.space.transform(self.space.rvs(
--> 513                 n_samples=self.n_points, random_state=self.rng))
    514 
    515             self.next_xs_ = []

~/anaconda3/envs/lgbm/lib/python3.7/site-packages/skopt/space/space.py in transform(self, X)
    806         # Transform
    807         for j in range(self.n_dims):
--> 808             columns[j] = self.dimensions[j].transform(columns[j])
    809 
    810         # Repack as an array

~/anaconda3/envs/lgbm/lib/python3.7/site-packages/skopt/space/space.py in transform(self, X)
    142     def transform(self, X):
    143         """Transform samples form the original space to a warped space."""
--> 144         return self.transformer.transform(X)
    145 
    146     def inverse_transform(self, Xt):

~/anaconda3/envs/lgbm/lib/python3.7/site-packages/skopt/space/transformers.py in transform(self, X)
    232     def transform(self, X):
    233         for transformer in self.transformers:
--> 234             X = transformer.transform(X)
    235         return X
    236 

~/anaconda3/envs/lgbm/lib/python3.7/site-packages/skopt/space/transformers.py in transform(self, X)
    181             if np.any(np.round(X) < self.low):
    182                 raise ValueError("All integer values should"
--> 183                                  "be greater than %f" % self.low)
    184         else:
    185             if np.any(X > self.high + 1e-8):

ValueError: All integer values shouldbe greater than 0.000000