rel-amazon: user churn (Classification)
This example now sources data from the relbench Python library, not the old S3 parquet mirror. The runner materializes the official rel-amazon tables locally through get_dataset("rel-amazon", download=True) before building the GraphReduce frame.
from relbench_amazon_user_churn import run_rel_amazon_user_churn
df, auc, n_features, materialized, target = run_rel_amazon_user_churn()
print(materialized)
print(target, auc, n_features, len(df))
Current implementation:
Current RelBench-aligned dates:
- validation cut date:
2015-10-01 - holdout cut date:
2016-01-01 - lookback start:
2008-01-01
Interactive Runner
Idle