Creating and retrieving an endpoint
When a machine learning model is released, it must be made available for downstream consumption; Verta offers endpoints as an API for configuring and releasing deployable models.
This tutorial will go through how to create and retrieve such an endpoint using Verta client and CLI.
Users can create an endpoint using
Client.create_endpoint() as follows:endpoint = client.create_endpoint(path="/some-path")
This endpoint can be retrieved later on via its path or its ID using
Client.get_endpoint():endpoint = client.get_endpoint(path="/some-path")
# alternatively:
endpoint = client.get_endpoint(id=<endpoint id>)
Last modified 8mo ago