Get started
Everything you need to go from nothing to a working client connection, plus the concepts the rest of the documentation assumes.
What is Feature Store?
The H2O Feature Store is a centralized repository for storing, updating, retrieving, and sharing features used in machine learning models across different projects. For most machine learning and AI applications, raw data must be transformed into features that are optimized for capturing information from the data. H2O AI Feature Store allows data scientists and engineers to easily organize, govern, share, and reuse these features. With H2O AI Feature Store, organizations can improve collaboration, increase the efficiency of the model development process, and deliver impactful AI outcomes faster.
Core concepts
This page explains the main concepts of Feature Store.
Architecture
This section describes the main components of the Feature Store.
Downloads page
This page contains the downloadable artifacts users need for connecting to the Feature Store server.
Install and connect the client
Explore the first steps on how to use the Feature Store client.
Authenticate
The Feature Store Python client authenticates through two entry points; platform discovery via login() and explicit OIDC via login_custom().
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- Send feedback about H2O Feature Store to cloud-feedback@h2o.ai