4a02df999f2df0ffff4f895dd62aa92001f71aea,rasa_core/evaluate.py,,_collect_user_uttered_predictions,#Any#Any#Any#Any#Any#,169

Before Change

        padded_entities = pad_list_to_size(predicted_entities,
                                           len(entity_golds),
                                           "None")
        predictions.extend(padded_entities)

    if predicted_intent != intent_gold or \
            predicted_entities != entity_golds:
        partial_tracker.update(

After Change

def _collect_user_uttered_predictions(e2e_reader, event, interpreter,
                                      partial_tracker,
                                      fail_on_prediction_errors):
    evaluation_store = EvaluationStore()
    message = e2e_reader._parse_item(event.text)

    training_data = TrainingData([message])

Instances