unlearning done

architectures/Model.py

@@ -7,7 +7,7 @@ import time
 import numpy as np
 from sklearn.metrics import classification_report
 from pathlib import Path
-from unlearning.Strategy import Strategy
+#from unlearning.Strategy import Strategy
 import copy
 from torch.optim.lr_scheduler import CosineAnnealingLR
 
@@ -84,7 +84,7 @@ class Model(ABC):
         print(f'Model loaded from {file_path}')
 
     
-    def unlearn(self, strategy: Strategy, forget_loader, retain_loader):
+    def unlearn(self, strategy: 'Strategy', forget_loader, retain_loader):
         """ Executes a targeted unlearning strategy and profiles efficiency """
         print(f"Executing: {strategy.__class__.__name__}...")
         
@@ -103,6 +103,7 @@ class Model(ABC):
         Evaluates the model, prints terminal reports, and routes metrics to 
         a file logger based on the current context mode.
         """
+        
         self.model.eval()
         all_preds, all_labels = [], []
         print(f"\nEvaluating Domain: [{mode}]...")