TypeError                                 Traceback (most recent call last)
<ipython-input-5-1c9458ca74a8> in <module>()
      8                               scoring='accuracy', cv=10, n_jobs=-1,
      9                               random_state=0)
---> 10 randomcv.fit(x_tu, y_tu)

~\Anaconda3\lib\site-packages\sklearn\model_selection\_search.py in fit(self, X, y, groups, **fit_params)
    616         n_splits = cv.get_n_splits(X, y, groups)
    617         # Regenerate parameter iterable for each fit
--> 618         candidate_params = list(self._get_param_iterator())
    619         n_candidates = len(candidate_params)
    620         if self.verbose > 0:

~\Anaconda3\lib\site-packages\sklearn\model_selection\_search.py in __iter__(self)
    242             # look up sampled parameter settings in parameter grid
    243             param_grid = ParameterGrid(self.param_distributions)
--> 244             grid_size = len(param_grid)
    245
    246             if grid_size < self.n_iter:

~\Anaconda3\lib\site-packages\sklearn\model_selection\_search.py in __len__(self)
    122         product = partial(reduce, operator.mul)
    123         return sum(product(len(v) for v in p.values()) if p else 1
--> 124                    for p in self.param_grid)
    125
    126     def __getitem__(self, ind):

~\Anaconda3\lib\site-packages\sklearn\model_selection\_search.py in <genexpr>(.0)
    122         product = partial(reduce, operator.mul)
    123         return sum(product(len(v) for v in p.values()) if p else 1
--> 124                    for p in self.param_grid)
    125
    126     def __getitem__(self, ind):

~\Anaconda3\lib\site-packages\sklearn\model_selection\_search.py in <genexpr>(.0)
    121         # Product function that can handle iterables (np.product can't).
    122         product = partial(reduce, operator.mul)
--> 123         return sum(product(len(v) for v in p.values()) if p else 1
    124                    for p in self.param_grid)
    125

TypeError: object of type 'int' has no len()