Downloads page

This page contains the downloadable artifacts users need for connecting to the Feature Store server.

Feature Store artifacts

Clients

The following are the clients you can use to connect to Feature Store. You only need one depending on which environment you are using.

• Python
• Snowflake
• GRPC API

Python

Python 3.7 or later is required to use the Feature Store Python client. You can install the Python client through several different methods. The simplest is via pip:

pip install h2o-featurestore

You can also install the Python client using of the of the following packages:

• Python client zip
• Python client wheel

GRPC API

Feature Store uses GRPC as its communication protocol. If you use Java, you can use the GRPC API to connect to Feature Store. This is the download link for Feature Store's Java GRPC API client library:

• Java GRPC Feature Store API

Azure Gen2 Spark dependencies

If you are using Azure Gen2 as the Feature Store storage cache, you will need Spark.

• Azure Gen2 Spark Dependencies

Kubernetes deployment

You can use helm charts to deploy Feature Store in a Kubernetes cluster.

K8s helm charts

This is the file you need to install Feature Store in Kubernetes:

• Feature Store Helm Charts

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