add : ray result analysis

main_ray.py

@@ -262,13 +262,16 @@ def analyze_ray_res(storage_path, exp_name, args, gpus_per_trial=1):
             continue
 
         print(
-            f"Trial #{i} finished successfully train loss of :",
-            result.metrics["train loss"], " train acc of :",
-            result.metrics["train cont acc"], " val loss of :",
-            result.metrics["val loss"], " val acc of :",
-            result.metrics["val acc"]
+            f"Trial #{i} ({result.trial_id}) finished successfully train loss of :",
+            {result.metrics["train loss"]}, " train acc of :",
+            {result.metrics["train cont acc"]}, " val loss of :",
+            {result.metrics["val loss"]}, " val acc of :",
+            {result.metrics["val acc"]}
         )
 
+    df = results.get_dataframe()
+    df.to_csv('df_results_calmettes.csv')
+
 
 
 if __name__ == '__main__':