Generated from examples/orders.csv + labels.csv via
get_historical_features. Every feature value is resolved as-of each
label's event_timestamp, never from its future. ← back to the map
| customer_id | event_timestamp | churned | rolling_7d_spend | orders_last_30d | account_age_days | tier |
|---|---|---|---|---|---|---|
| cust_000 | 2026-01-28 03:00:00+00:00 | 0 | 117.82 | 6 | 16 | silver |
| cust_001 | 2026-02-02 02:00:00+00:00 | 0 | 259.31 | 2 | 30 | gold |
| cust_002 | 2026-02-01 09:00:00+00:00 | 0 | 400.06 | 9 | 20 | gold |
| cust_003 | 2026-02-21 07:00:00+00:00 | 0 | 408.98 | 1 | 42 | gold |
| cust_004 | 2026-03-02 01:00:00+00:00 | 0 | 391.75 | 2 | 45 | gold |
| cust_005 | 2026-02-10 12:00:00+00:00 | 0 | 464.1 | 6 | 29 | gold |
| cust_006 | 2026-01-15 00:00:00+00:00 | 1 | 327.7 | 4 | 9 | gold |
| cust_007 | 2026-03-19 12:00:00+00:00 | 1 | 247.58 | 4 | 64 | silver |
| cust_008 | 2026-03-01 17:00:00+00:00 | 1 | 414.0 | 4 | 50 | gold |
| cust_009 | 2026-01-26 05:00:00+00:00 | 0 | 377.45 | 3 | 17 | gold |
| cust_010 | 2026-02-25 23:00:00+00:00 | 1 | 469.49 | 3 | 46 | gold |
| cust_011 | 2026-01-29 11:00:00+00:00 | 0 | 163.09 | 4 | 18 | silver |
Asof registry
========================================
Entities (1):
- customer (join_key=customer_id)
Feature views (1):
- customer_stats [customer] ttl=14 days, 0:00:00
features: rolling_7d_spend, orders_last_30d, account_age_days, tier
Feature services (1):
- churn_v1: customer_stats:rolling_7d_spend, customer_stats:orders_last_30d, customer_stats:account_age_days, customer_stats:tier