add : ray result analysis

main_ray.py

@@ -256,12 +256,16 @@ def analyze_ray_res(storage_path, exp_name, args, gpus_per_trial=1):
 
     num_results = len(results)
     print("Number of results:", num_results)
+    df = results.get_dataframe()
+    df.to_csv('df_results_calmettes.csv')
+
     for i, result in enumerate(results):
         if result.error:
             print(f"Trial #{i} had an error:", result.error)
             continue
 
-        print(
+        else :
+            print(
             f"Trial #{i} finished successfully train loss of :",
             {result.metrics["train loss"]}, " train acc of :",
             {result.metrics["train cont acc"]}, " val loss of :",
@@ -269,8 +273,7 @@ def analyze_ray_res(storage_path, exp_name, args, gpus_per_trial=1):
             {result.metrics["val acc"]}
         )
 
-    df = results.get_dataframe()
-    df.to_csv('df_results_calmettes.csv')
+