rel-amazon: item churn (Classification)
This example now uses the official relbench dataset loader and materializes rel-amazon tables locally before running GraphReduce. It no longer downloads parquet files from the deprecated S3 example bucket.
from relbench_amazon_item_churn import run_rel_amazon_item_churn
df, auc, n_features, materialized, target = run_rel_amazon_item_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