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unit: def Do()
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unit: def __init__()
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unit: def training_pipeline()
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unit: def __init__()
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unit: def load_embeddings()
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unit: def __init__()
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unit: def get_args()
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unit: def compute_pmi()
file: retail/recommendation-system/bqml-scann/tfx_pipeline/bq_components.py
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unit: def train_item_matching_model()
file: retail/recommendation-system/bqml-scann/tfx_pipeline/bq_components.py
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unit: def run_bigquery_ddl()
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unit: def load_embeddings()
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unit: def extract_embeddings()
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unit: def predict()
file: retail/recommendation-system/bqml-scann/index_server/main.py
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unit: def build_index()
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id: 16
unit: def add_MatchServiceServicer_to_server()
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unit: def main()
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unit: def run()
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unit: def Match()
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unit: def BatchMatch()
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unit: def build_index()
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unit: def run_fn()
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unit: def get_args()
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unit: def save_index()
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unit: def save_index()
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unit: def __init__()
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unit: def __call__()
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id: 28
unit: def export_saved_model()
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unit: def __call__()
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unit: def run_fn()
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unit: def get_query()
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unit: def export_bqml_model()
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unit: def __init__()
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unit: def main()
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unit: def __init__()
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unit: def match()
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unit: def validate_request()
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unit: def __init__()
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unit: def main()
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unit: def match()
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unit: def lookup()
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unit: def to_csv()
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unit: def build()
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unit: def match()
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unit: def __init__()
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unit: def Match()
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unit: def BatchMatch()
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unit: def train_matrix_factorization_model()
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unit: def evaluate_matrix_factorization_model()
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unit: def create_user_features()
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unit: def create_hotel_features()
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unit: def combine_features()
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unit: def train_xgboost_model()
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unit: def evaluate_class()
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unit: def health()
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