Optional replacing of feature mapping with identity

src/graphnet/models/detector/detector.py

@@ -1,7 +1,7 @@
 """Base detector-specific `Model` class(es)."""
 
 from abc import abstractmethod
-from typing import Dict, Callable, List
+from typing import Dict, Callable, List, Optional
 
 from torch_geometric.data import Data
 import torch
@@ -14,10 +14,19 @@
 class Detector(Model):
     """Base class for all detector-specific read-ins in graphnet."""
 
-    def __init__(self) -> None:
-        """Construct `Detector`."""
+    def __init__(
+        self, replace_with_identity: Optional[List[str]] = None
+    ) -> None:
+        """Construct `Detector`.
+
+        Args:
+            replace_with_identity: A list of feature names from the
+            feature_map that should be replaced with the identity
+            function.
+        """
         # Base class constructor
         super().__init__(name=__name__, class_name=self.__class__.__name__)
+        self._replace_with_identity = replace_with_identity
 
     @abstractmethod
     def feature_map(self) -> Dict[str, Callable]:
@@ -64,9 +73,13 @@ def sensor_index_name(self) -> str:
     def _standardize(
         self, input_features: torch.tensor, input_feature_names: List[str]
     ) -> Data:
+        feature_map = self.feature_map()
+        if self._replace_with_identity is not None:
+            for feature in self._replace_with_identity:
+                feature_map[feature] = self._identity
         for idx, feature in enumerate(input_feature_names):
             try:
-                input_features[:, idx] = self.feature_map()[
+                input_features[:, idx] = feature_map[
                     feature
                 ](  # noqa: E501 # type: ignore
                     input_features[:, idx]