Fix results filenames according to new rSNFi method

postprocessing/borda_global_rSNFi.py

@@ -71,7 +71,7 @@ for k in range(2, N_LAYERS + 1):
                 DATASET,
                 TARGET,
                 MODEL,
-                f'{i}/{MODE}/{layers_concat}_tr_{MODEL}_KBest_featurelist.txt',
+                f'{i}/{MODE}/{layers_concat}_ts_{MODEL}_KBest_featurelist.txt',
             )
             feats = pd.read_csv(file_featureList, sep='\t')
             all_feats.extend(list(feats.FEATURE_NAME))
@@ -95,7 +95,7 @@ for k in range(2, N_LAYERS + 1):
                 DATASET,
                 TARGET,
                 MODEL,
-                f'{split_id}/{MODE}/{layers_concat}_tr_{MODEL}_KBest_featurelist.txt',
+                f'{split_id}/{MODE}/{layers_concat}_ts_{MODEL}_KBest_featurelist.txt',
             )
             feats = pd.read_csv(file_featureList, sep='\t')
 
@@ -109,7 +109,7 @@ for k in range(2, N_LAYERS + 1):
                 DATASET,
                 TARGET,
                 MODEL,
-                f'{split_id}/{MODE}/{layers_concat}_tr_{MODEL}_KBest_ranking.csv.gz',
+                f'{split_id}/{MODE}/{layers_concat}_ts_{MODEL}_KBest_ranking.csv.gz',
             )
             rankings = pd.read_csv(file_ranking, header=None, sep='\t')
             for j in range(CV_K * CV_N):

postprocessing/compute_all_metrics.py

@@ -112,6 +112,13 @@ for k in range_combinations:
                     PATH, f'{MODE}/{layers_concat}_tr_{MODEL}_rankList_allmetrics.txt'
                 )
 
+            elif MODE == 'rSNFi':
+                file_log = os.path.join(
+                    PATH, f'{MODE}/{layers_concat}_ts_{MODEL}_KBest.log'
+                )
+                file_metrics = os.path.join(
+                    PATH, f'{MODE}/{layers_concat}_ts_{MODEL}_KBest_allmetrics.txt'
+                )
             else:
                 file_log = os.path.join(
                     PATH, f'{MODE}/{layers_concat}_tr_{MODEL}_KBest.log'