get Model.hash

petab_select/analyze.py

@@ -181,21 +181,19 @@ def get_relative_criterion_values(
 
 
 def get_weights(
-    models: list[Model], criterion: Criterion
+    models: list[Model],
+    criterion: Criterion,
 ) -> dict[ModelHash, float]:
     """Calculate weights for a model based on different criteria.
 
-    Parameters
-    ----------
-    model:
-        The calibrated petab-select model.
-    criterion:
-        Criterion to calculate weights of.
-
-    Returns
-    -------
-    dict:
-        Dictionary with model hashes as keys and weights as values.
+    Args:
+        model:
+            The calibrated petab-select model.
+        criterion:
+            Criterion to calculate weights of.
+
+    Returns:
+        Keys are model hashes, values are weights.
     """
     weights = {}
     criterion_values = [model.get_criterion(criterion) for model in models]
@@ -210,6 +208,6 @@ def get_weights(
         weight = np.exp(
             -0.5 * (criterion_values[i] - np.min(criterion_values))
         ) / np.sum(np.exp(-0.5 * delta_criterion_values))
-        weights[model.get_hash()] = weight
+        weights[model.hash] = weight
 
     return weights