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Version: v2.2.1

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​

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:

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:

Azure Gen2 Spark dependencies​

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

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:

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