Reference library

ML engineering pipelines

Feature prep, batch inference, model-serving hooks, and production ML workflow glue.

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ML engineering pipelines easy

How to Mock a Feature Store Online Lookup in Python

This code simulates an online feature store with single and batch retrieval methods, using a dict-backed cache and timestamps.

feature-store ml-infrastructure online-lookup
Python 
import random
import time


class OnlineFeatureStore:
    def __init__(self):
        self.features = {}

    def put(self, entity_id: str, feature_name: str, value):
        key = (entity_id, feature_name)
        self.features[key] = (value, time.time())

    def get(self, entity_id: str, feature_name: str):
       …
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