Fix random-search

tests/test_randomizedsearch.py

@@ -630,6 +630,7 @@ def _test_method(self, search_method, **kwargs):
             refit=True,
             **kwargs)
         tune_search.fit(x, y)
+        self.assertEquals(len(tune_search.cv_results_["params"]), 3)
         params = tune_search.best_estimator_.get_params()
         print({
             k: v

tune_sklearn/tune_basesearch.py

@@ -499,7 +499,6 @@ def _fit(self, X, y=None, groups=None, **fit_params):
         Returns:
             :obj:`TuneBaseSearchCV` child instance, after fitting.
         """
-
         self._check_params()
         classifier = is_classifier(self.estimator)
         cv = check_cv(cv=self.cv, y=y, classifier=classifier)

tune_sklearn/tune_search.py

@@ -419,6 +419,7 @@ def _fill_config_hyperparam(self, config):
         for key, distribution in self.param_distributions.items():
             if isinstance(distribution, Domain):
                 config[key] = distribution
+                all_lists = False
             elif isinstance(distribution, list):
                 import random
 
@@ -628,7 +629,6 @@ def _tune_run(self, config, resources_per_trial):
         stopper = MaximumIterationStopper(max_iter=max_iter)
         if self.stopper:
             stopper = CombinedStopper(stopper, self.stopper)
-
         run_args = dict(
             scheduler=self.early_stopping,
             reuse_actors=True,