google_vertex_ai_models_evaluations resource

Use the google_vertex_ai_models_evaluations InSpec audit resource to to test a Google Cloud ModelsEvaluation resource.

Examples

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

Properties

Properties that can be accessed from the google_vertex_ai_models_evaluations resource:

See google_vertex_ai_models_evaluation for more detailed information.

• data_item_schema_uris: an array of google_vertex_ai_models_evaluation data_item_schema_uri
• metadata: an array of google_vertex_ai_models_evaluation metadata
• metrics_schema_uris: an array of google_vertex_ai_models_evaluation metrics_schema_uri
• create_times: an array of google_vertex_ai_models_evaluation create_time
• annotation_schema_uris: an array of google_vertex_ai_models_evaluation annotation_schema_uri
• metrics: an array of google_vertex_ai_models_evaluation metrics
• explanation_specs: an array of google_vertex_ai_models_evaluation explanation_specs
• slice_dimensions: an array of google_vertex_ai_models_evaluation slice_dimensions
• model_explanations: an array of google_vertex_ai_models_evaluation model_explanation
• names: an array of google_vertex_ai_models_evaluation name
• display_names: an array of google_vertex_ai_models_evaluation display_name

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