rel-hm: user churn (Classification)

This example now pulls rel-hm from the relbench Python library and materializes the official tables locally before GraphReduce runs. The old S3 parquet download path has been removed.

from relbench_hm_user_churn import run_rel_hm_user_churn

df, auc, n_features, materialized = run_rel_hm_user_churn()
print(materialized)
print(auc, n_features, len(df))

Current implementation:

• examples/relbench_hm_user_churn.py

Current RelBench-aligned dates:

• cut date: 2020-09-14
• lookback start: 2019-09-07

Interactive Runner

Save API URL Run rel-hm user churn

Idle