Feature Engineering Patterns

Expert patterns for feature stores, sklearn pipelines, time-series features, and drift detection.

Pattern 1: Feast Feature Store Setup

Define entity, feature view, and feature service; retrieve point-in-time correct training data.

from feast import FeatureStore, Entity, FeatureView, Field, FileSource
from feast.types import Float32, Int64, String
from datetime import timedelta

# feature_repo/feature_store.yaml
# project: my_ml_project
# registry: data/registry.db
# provider: local
# online_store: redis