@@ -181,6 +181,9 @@ def getSuggestions(self, trials, request_number):
181181 # Produce new request_number ids to make new Suggestion
182182 hyperopt_trial_new_ids = self .fmin .trials .new_trial_ids (request_number )
183183 random_state = self .fmin .rstate .randint (2 ** 31 - 1 )
184+
185+ # Trial list that must be deployed
186+ new_trials = []
184187 if self .algorithm_name == RANDOM_ALGORITHM_NAME :
185188 new_trials = self .hyperopt_algorithm (
186189 new_ids = hyperopt_trial_new_ids ,
@@ -203,7 +206,6 @@ def getSuggestions(self, trials, request_number):
203206 ** self .algorithm_conf )
204207 self .is_first_run = False
205208 else :
206- new_trials = []
207209 for i in range (request_number ):
208210 # hyperopt_algorithm always returns one new Trial
209211 new_trials .append (self .hyperopt_algorithm (
@@ -216,9 +218,13 @@ def getSuggestions(self, trials, request_number):
216218
217219 # Construct return advisor Trials from new hyperopt Trials
218220 list_of_assignments = []
219- for i in range ( request_number ) :
220- vals = new_trials [ i ] ['misc' ]['vals' ]
221+ for trial in new_trials :
222+ vals = trial ['misc' ]['vals' ]
221223 list_of_assignments .append (BaseHyperoptService .convert (self .search_space , vals ))
224+
225+ if len (list_of_assignments ) > 0 :
226+ logger .info ("GetSuggestions returns {} new Trial\n " .format (len (new_trials )))
227+
222228 return list_of_assignments
223229
224230 @staticmethod
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