add best_loss_per_estimator

flaml/automl.py

@@ -460,6 +460,14 @@ class AutoML:
             for e, e_search_state in self._search_states.items()
         }
 
+    @property
+    def best_loss_per_estimator(self):
+        """A dictionary of all estimators' best loss."""
+        return {
+            e: e_search_state.best_loss
+            for e, e_search_state in self._search_states.items()
+        }
+
     @property
     def best_loss(self):
         """A float of the best loss found."""

test/test_multiclass.py

@@ -412,6 +412,7 @@ class TestMultiClass(unittest.TestCase):
 
         starting_points = automl_experiment.best_config_per_estimator
         print("starting_points", starting_points)
+        print("loss of the starting_points", automl_experiment.best_loss_per_estimator)
         automl_settings_resume = {
             "time_budget": 2,
             "metric": "accuracy",