More explicit warning if weights passed but not used in loss calc

python/dalex/dalex/model_explanations/_variable_importance/utils.py

@@ -97,6 +97,6 @@ def calculate_loss(loss_function, observed, predicted, sample_weights=None):
     else:
         if sample_weights is not None:
             warnings.warn(
-                f"Loss function {loss_function.__name__} does not take sample weights. Calculating unweighted loss."
+                f"Loss function `{loss_function.__name__}` does not have `sample_weight` argument. Calculating unweighted loss."
             )
         return loss_function(observed, predicted)