Fix Linter space errors

Author: seldauyanik-maxim

train.py

@@ -1567,7 +1567,7 @@ def update_old_model_params(model_path, model_new):
         torch.save(model_old, model_path)
         if msglogger:
             msglogger.info('Model `%s` is old. Missing parameters added with default values!',
-                        model_path)
+                           model_path)
         else:
             print(f'Model {model_path} is old. Missing parameters added with default values!')
 

utils/autoencoder_eval_utils.py

@@ -197,11 +197,11 @@ def calc_ae_perf_metrics(reconstructions, inputs, labels, threshold, print_all=T
 
     Recall = torch.tensor(-1).to(inputs[0].device)
     Precision = torch.tensor(-1).to(inputs[0].device)
-    Accuracy = torch.tensor(-1).to(inputs[0].device) 
-    F1 = torch.tensor(-1).to(inputs[0].device) 
-    FPRate = torch.tensor(-1).to(inputs[0].device) 
+    Accuracy = torch.tensor(-1).to(inputs[0].device)
+    F1 = torch.tensor(-1).to(inputs[0].device)
+    FPRate = torch.tensor(-1).to(inputs[0].device)
 
-    BalancedAccuracy = torch.tensor(-1).to(inputs[0].device) 
+    BalancedAccuracy = torch.tensor(-1).to(inputs[0].device)
     TNRate = torch.tensor(-1).to(inputs[0].device)    # specificity (SPC), selectivity
 
     for i, inputs_batch in enumerate(inputs):