fix bug in cold start

src/sdk/pynni/nni/metis_tuner/metis_tuner.py

@@ -196,7 +196,7 @@ def generate_parameters(self, parameter_id):
         -------
         result : dict
         """
-        if self.samples_x or len(self.samples_x) < self.cold_start_num:
+        if len(self.samples_x) < self.cold_start_num:
             init_parameter = _rand_init(self.x_bounds, self.x_types, 1)[0]
             results = self._pack_output(init_parameter)
         else:
@@ -340,7 +340,7 @@ def _selection(self, samples_x, samples_y_aggregation, samples_y,
                 results_outliers = gp_outlier_detection.outlierDetection_threaded(samples_x, samples_y_aggregation)
 
                 if results_outliers is not None:
-                    temp = len(candidates)
+                    # temp = len(candidates)
 
                     for results_outlier in results_outliers:
                         if _num_past_samples(samples_x[results_outlier['samples_idx']], samples_x, samples_y) < max_resampling_per_x:
@@ -370,13 +370,6 @@ def _selection(self, samples_x, samples_y_aggregation, samples_y,
                         temp_improvement = threads_result['expected_lowest_mu'] - lm_current['expected_mu']
 
                         if next_improvement > temp_improvement:
-                            logger.infor("DEBUG: \"next_candidate\" changed: \
-                                            lowest mu might reduce from %f (%s) to %f (%s), %s\n" %\
-                                            lm_current['expected_mu'], str(lm_current['hyperparameter']),\
-                                            threads_result['expected_lowest_mu'],\
-                                            str(threads_result['candidate']['hyperparameter']),\
-                                            threads_result['candidate']['reason'])
-
                             next_improvement = temp_improvement
                             next_candidate = threads_result['candidate']
             else: