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thigm85/12.py

Created July 15, 2022 15:28
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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
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