12.py

vespa_relevance = []
for idx, row in features.iterrows():
    vespa_relevance.append(
        compute_vespa_relevance(
            id_value=idx, 
            query_value = row["query(value)"]
        )
    )
features["vespa_relevance"] = vespa_relevance
features