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Feast is a Python library that enables teams to store and serve features consistently for offline training and online inference. Learn how to use Feast, compare it with Tecton, and explore its features, benefits, and best practices.
- Resources
Feast creator Willem Pinaar and MLOps community organizer...
- Blog
Feast is an end-to-end open source feature store for machine...
- Feast Demo
Watch a Feast demo. Learn how to use Feast, an open-source...
- Docs
Feast helps ML platform teams with DevOps experience...
- Benchmark Post
In this blog post, we show how fast Feast is at serving...
- What is a Feature Store
Feast is GCP/AWS only today, but we’re working hard to make...
- Resources
Learn the definition of feast as a noun and a verb, with synonyms, related words, and pronunciation. Find out how to use feast in different contexts, such as food, celebration, or enjoyment.
- Overview
- 📐 Architecture
- 🐣 Getting Started
- 📦 Functionality and Roadmap
- 🎓 Important Resources
- 👋 Contributing
- GeneratedCaptionsTabForHeroSec
Feast (Feature Store) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference.
Feast allows ML platform teams to:
•Make features consistently available for training and serving by managing an offline store (to process historical data for scale-out batch scoring or model training), a low-latency online store (to power real-time prediction), and a battle-tested feature server (to serve pre-computed features online).
•Avoid data leakage by generating point-in-time correct feature sets so data scientists can focus on feature engineering rather than debugging error-prone dataset joining logic. This ensure that future feature values do not leak to models during training.
•Decouple ML from data infrastructure by providing a single data access layer that abstracts feature storage from feature retrieval, ensuring models remain portable as you move from training models to serving models, from batch models to realtime models, and from one data infra system to another.
Please see our documentation for more information about the project.
The above architecture is the minimal Feast deployment. Want to run the full Feast on Snowflake/GCP/AWS? Click here.
1. Install Feast2. Create a feature repository3. Register your feature definitions and set up your feature store4. Explore your data in the web UI (experimental)5. Build a training dataset6. Load feature values into your online storeThe list below contains the functionality that contributors are planning to develop for Feast.
•We welcome contribution to all items in the roadmap!
•Data Sources
•Snowflake source
•Redshift source
•BigQuery source
Please refer to the official documentation at Documentation
•Quickstart
•Tutorials
•Running Feast with Snowflake/GCP/AWS
Feast is a community project and is still under active development. Please have a look at our contributing and development guides if you want to contribute to the project:
•Contribution Process for Feast
•Development Guide for Feast
•Development Guide for the Main Feast Repository
Feast is a project that manages features for training and serving machine learning models. It supports offline and online feature stores, data sources, feature views, and a web UI.
Jan 18, 2019 · Learn from GO-JEK and Google how Feast can help you store and keep tabs on various features relevant to your business, so that data scientists can collaborate to improve their models.
Feast is a system that manages and serves features for realtime models. It helps ML platform teams avoid data leakage, decouple ML from data infrastructure, and improve collaboration between engineers and data scientists.
Learn the meaning, synonyms, examples, and history of the word feast, which can be a noun or a verb. A feast can be a meal with plenty of food and drink, a religious festival or observance, or a source of enjoyment or delight.
Learn the meaning, pronunciation, and usage of the word feast in British and American English. Find out the difference between feast and banquet, and explore related words and expressions.
