Introduction
Feature Store manages and provides easy access to curated features. We abstract the underlying storage of the features while providing consistent and unified storage for the metadata of the features. The features should be versioned so that each model trained on a specific combination of features will always lead to the same results.
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
- Feature set search 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
- Release Notes
- Version 0.12.6 (05-06-2023)
- Version 0.12.5 (05-04-2023)
- Version 0.12.4 (09-03-2023)
- Version 0.12.3 (27-02-2023)
- 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