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

Before Change

    predictions.append(predicted_intent)
    golds.append(intent_gold)

    entity_golds, predicted_entities = [], []

    if training_data.entity_examples:
        entities = training_data.entity_examples[0].get("entities")
        entity_golds.extend([ent["entity"] for ent in entities])

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