A Feature Store is a centralized repository for storing, managing, and sharing machine learning (ML) features or attributes used to train models. It is a scalable solution for organizing and cataloging features, making them easily accessible to data scientists and ML engineers across an organization. Feature Stores facilitate collaboration, version control, and reusability of features, streamlining the ML development process and improving model quality and efficiency.
Check out the illustration to create a new Feature Store.
Creating a Feature Store
Steps to Create A Feature Store
Navigate to the Homepage of the Data Science Lab module.
Click the Create icon from the homepage.
Accessing the Create icon
The Create Project or Feature Store drawer opens.
Click the Create option provided for the Feature Store.
Create Project/ Feature Store window
The Create Feature Store page opens.
Provide a name for the Feature Store.
Select a Data Connector from the drop-down list.
The Table info/ metadata panel will appear on the right side of the page.
Click on a table name to select it.
An SQL query will be generated in the given place.
Click the Validate option.
A notification message ensures the user that the action has been executed successfully and the table is executed.
A preview of the table appears below.
Click the Create option.
A notification message ensures the user that the intended Feature Store is being created.
The user gets redirected to the Feature Stores page.
The newly created Feature Store gets added at the top of the list.
Feature Stores List with newly created Feature Store
Please Note:
Click the Refresh icon to get the status level updates for the newly created Feature Store.
A Feature Store gets Initializing, Started, and Completed as Status.
