Skip to main content

google_vertex_ai_models resource

Use the google_vertex_ai_models InSpec audit resource to to test a Google Cloud Model resource.

Examples

    describe google_vertex_ai_models(parent: "projects/#{gcp_project_id}/locations/#{model['region']}", region: ' value_region') do
    it { should exist }
  end

Properties

Properties that can be accessed from the google_vertex_ai_models resource:

See google_vertex_ai_model for more detailed information.

  • model_source_infos: an array of google_vertex_ai_model model_source_info
  • names: an array of google_vertex_ai_model name
  • metadata: an array of google_vertex_ai_model metadata
  • update_times: an array of google_vertex_ai_model update_time
  • etags: an array of google_vertex_ai_model etag
  • descriptions: an array of google_vertex_ai_model description
  • deployed_models: an array of google_vertex_ai_model deployed_models
  • create_times: an array of google_vertex_ai_model create_time
  • explanation_specs: an array of google_vertex_ai_model explanation_spec
  • encryption_specs: an array of google_vertex_ai_model encryption_spec
  • pipeline_jobs: an array of google_vertex_ai_model pipeline_job
  • predict_schemata: an array of google_vertex_ai_model predict_schemata
  • version_update_times: an array of google_vertex_ai_model version_update_time
  • supported_export_formats: an array of google_vertex_ai_model supported_export_formats
  • original_model_infos: an array of google_vertex_ai_model original_model_info
  • metadata_artifacts: an array of google_vertex_ai_model metadata_artifact
  • supported_input_storage_formats: an array of google_vertex_ai_model supported_input_storage_formats
  • metadata_schema_uris: an array of google_vertex_ai_model metadata_schema_uri
  • container_specs: an array of google_vertex_ai_model container_spec
  • version_ids: an array of google_vertex_ai_model version_id
  • artifact_uris: an array of google_vertex_ai_model artifact_uri
  • training_pipelines: an array of google_vertex_ai_model training_pipeline
  • display_names: an array of google_vertex_ai_model display_name
  • supported_deployment_resources_types: an array of google_vertex_ai_model supported_deployment_resources_types
  • supported_output_storage_formats: an array of google_vertex_ai_model supported_output_storage_formats
  • version_aliases: an array of google_vertex_ai_model version_aliases
  • version_create_times: an array of google_vertex_ai_model version_create_time
  • version_descriptions: an array of google_vertex_ai_model version_description
  • labels: an array of google_vertex_ai_model labels

Filter criteria

This resource supports all of the above properties as filter criteria, which can be used with where as a block or a method.

GCP permissions

Thank you for your feedback!

×