This short video shows you how to interact with the Hopsworks Feature Store using the Java or Scala API.

Hopsworks provides a Python environment per project that is shared among all the users in the project. All common installation alternatives are supported, , in addition to libraries packaged in a .whl or .egg file and those that reside on a git repository.

. Hopsworks provides Jupyter as a service in the platform, including kernels for writing PySpark/Spark and pure Python code. With an intuitive service to install Python libraries covered in a previous blog and access to a Jupyter notebook, getting started with your favourite ML library requires little effort in Hopsworks.

Connecting Hopsworks to your organisation’s Azure account is the first step towards using the Feature Store: 1. Connect your Azure account, 2. Create and configure a storage, 3. Add a ssh key to your resource group, 4. Enable permissions for Hopsworks to access

Connecting Hopsworks to your organisation’s AWS account is the first step towards using the Feature Store: 1. Connect your AWS account, 2. Create an instance profile, 3. Create a S3 bucket, 4. Create a SSH key, 5. Enable permissions for Hopsworks to access

Get started with hopsworks.ai

On Hopsworks, learn how to run your first PyTorch application on a Jupyter notebook