Merge pull request #3591 from flairNLP/relation_printout

Modify printouts in RelationClassifier evaluation to remove clutter

flair/models/relation_classifier_model.py

@@ -667,6 +667,32 @@ def predict(
 
         return loss if return_loss else None
 
+    def _print_predictions(self, batch, gold_label_type: str) -> list[str]:
+        lines = []
+        for datapoint in batch:
+            # check if there is a label mismatch
+            g = [label.labeled_identifier for label in datapoint.get_labels(gold_label_type)]
+            p = [label.labeled_identifier for label in datapoint.get_labels("predicted")]
+            g.sort()
+            p.sort()
+
+            # if the gold label is O and is correctly predicted as no label, do not print out as this clutters
+            # the output file with trivial predictions
+            if not (
+                len(datapoint.get_labels(gold_label_type)) == 1
+                and datapoint.get_label(gold_label_type).value == "O"
+                and len(datapoint.get_labels("predicted")) == 0
+            ):
+                correct_string = " -> MISMATCH!\n" if g != p else ""
+                eval_line = (
+                    f"{datapoint.text}\n"
+                    f" - Gold: {', '.join(label.value if label.data_point == datapoint else label.labeled_identifier for label in datapoint.get_labels(gold_label_type))}\n"
+                    f" - Pred: {', '.join(label.value if label.data_point == datapoint else label.labeled_identifier for label in datapoint.get_labels('predicted'))}\n"
+                    f"{correct_string}\n"
+                )
+                lines.append(eval_line)
+        return lines
+
     def _get_state_dict(self) -> dict[str, Any]:
         model_state: dict[str, Any] = {
             **super()._get_state_dict(),