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Chapter 4. Retrieving features for model training

4.1. Retrieving data science features
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You can connect to the Feature Store and consume the features necessary for model development and inference.

Prerequisites

  • Your Feature Store has been deployed.
  • User access permissions have been configured by the administrator.
  • You have access to a relevant project and a workbench.
  • Your Feature Store client configuration must be complete.

Procedure

  1. From the OpenShift AI dashboard, click Projects.

    The Projects page opens.

  2. Click the name of the project that you want to work on.

  3. Create a new workbench or open an existing workbench with the Feast software development kit (SDK).

    1. In the Feature Store client configuration table, select the configmaps associated with the desired repositories.
    2. Copy the Python script that is generated on the left side of the page. that is generated on the left of the page.
    3. Click the Workbenches tab and launch a workbench.
    4. Paste the Python script into the workbench cell.
Note
  • You do not need tokens or manual authentication for the Feature Store. Your workbench automatically authenticates using the access your administrator granted to your Data Science Project.
  • Feast SDK is available in all images except minimal.
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