hops-data-discovery

To discover available feature groups in a Hopsworks project, you can use the 'hops fg list' command. This automates data discovery, allowing you to quickly locate feature groups, data sources, and files for machine learning workflows.

Yes, you can search for existing features in Hopsworks to avoid building new feature pipelines. This Skill promotes feature reuse by enabling models to leverage existing feature groups, reducing the need for new pipeline creation.

The best way to locate data sources and files for machine learning workflows in Hopsworks is automating data discovery. This approach quickly finds available data from feature groups, data sources, free-text search, and files.

Yes, you need access to the Hopsworks Feature Store to use the hops CLI for data discovery. The Skill requires this access to automate locating feature groups, data sources, and files within your project.

Finding existing data in Hopsworks manually slows down model development because it requires tedious searching. Automating data discovery streamlines this process, enabling data scientists to quickly find necessary features and reduce pipeline creation.