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rel-avito: user visits (Classification)

This example now materializes the official rel-avito tables through the relbench Python library and then runs the user-visits GraphReduce task against those local files.

from relbench_avito_user_visits import run_rel_avito_user_visits

df, auc, n_features, materialized, target = run_rel_avito_user_visits()
print(materialized)
print(target, auc, n_features, len(df))

Current implementation:

Interactive Runner