Merge branch 'main' into jingdong00-patch-1

flaml/automl/automl.py

@@ -2566,6 +2566,7 @@ def cv_score_agg_func(val_loss_folds, log_metrics_folds):
         self._use_ray = use_ray or n_concurrent_trials > 1
         # use the following condition if we have an estimation of average_trial_time and average_trial_overhead
         # self._use_ray = use_ray or n_concurrent_trials > ( average_trail_time + average_trial_overhead) / (average_trial_time)
+
         if self._use_ray is not False:
             import ray
 
@@ -2816,6 +2817,7 @@ def is_to_reverse_metric(metric, task):
             logger.warning(
                 "No search budget is provided via time_budget or max_iter."
                 " Training only one model per estimator."
+                " Zero-shot AutoML is used for certain tasks and estimators."                
                 " To tune hyperparameters for each estimator,"
                 " please provide budget either via time_budget or max_iter."
             )