implemented inference

Deep-SAD-PyTorch/src/datasets/main.py

@@ -16,6 +16,7 @@ def load_dataset(
     ratio_known_outlier: float = 0.0,
     ratio_pollution: float = 0.0,
     random_state=None,
+    inference: bool = False,
 ):
     """Loads the dataset."""
 
@@ -42,6 +43,7 @@ def load_dataset(
             ratio_known_normal=ratio_known_normal,
             ratio_known_outlier=ratio_known_outlier,
             ratio_pollution=ratio_pollution,
+            inference=inference,
         )
 
     if dataset_name == "elpv":