Introduction
Feature Store acts as a repository for cataloging and managing features for machine learning (ML) models. These features are used by data scientists and data engineers to train models offline and to inference models online.
To learn more or see how to use Feature Store, please visit the following links:
Contents
- Downloads Page
- Concepts
- Architecture
- Deployment
- API
- Credentials configuration
- Starting the client
- Default naming rules
- Authentication
- Permissions
- Projects API
- Schema API
- Feature Set API
- Feature API
- Ingest history API
- Jobs API
- Create new feature set version API
- Asynchronous methods
- Spark dependencies
- Recommendation API
- Feature set schedule API
- Feature view API
- Examples
- Supported data sources
- Supported derived transformation
- Feature Store & Snowflake integration
- Feature Store & Sparkling Water integration
- Key Terms
- Release Notes
- Version 0.14.0 (30-01-2023)
- Version 0.13.0 (05-01-2023)
- Version 0.12.2 (14-12-2022)
- Version 0.12.1 (06-12-2022)
- Version 0.12.0 (25-11-2022)
- Version 0.11.0 (09-11-2022)
- Version 0.10.0 (06-10-2022)
- Version 0.9.0 (07-09-2022)
- Version 0.8.0 (05-08-2022)
- Version 0.7.1 (02-08-2022)
- Version 0.7.0 (07-07-2022)
- Version 0.6.0 (15-06-2022)
- Version 0.5.0 (07-06-2022)
- Version 0.4.0 (24-05-2022)
- Version 0.3.0 (12-05-2022)
- Version 0.2.0 (21-04-2022)
- Version 0.1.3 (08-04-2022)
- Version 0.1.2 (31-03-2022)
- Version 0.1.1 (17-03-2022)
- Version 0.1.0 (10-03-2022)
- Version 0.0.39 (17-02-2022)
- Version 0.0.38 (10-02-2022)
- Version 0.0.37 (19-01-2022)
- Migration guide