ML metadata artifact types

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For the purpose of tracking resources and for functionality across the Google Cloud Pipeline Components, a set of standard Vertex ML Metadata artifact types are defined. These first-party artifacts types are defined by Google Cloud Pipeline Components.

Artifact type Description
google.VertexModel An artifact representing a Vertex AI Model resource
google.VertexEndpoint An artifact representing a Vertex AI Endpoint resource
google.VertexBatchPredictionJob An artifact representing a Vertex AI BatchPredictionJob resource
google.VertexDataset An artifact representing a Vertex AI Dataset resource
google.BQMLModel An artifact representing a BigQuery ML Model resource
google.BQTable An artifact representing a BigQuery Table resource
google.UnmanagedContainerModel An artifact representing an UnmanagedContainerModel resource

For more information about using ML metadata artifacts, see Consume or produce artifacts in your component.