google_vertex_ai_nas_jobs_nas_trial

Use the google_vertex_ai_nas_jobs_nas_trial_detail InSpec audit resource to to test a Google Cloud NasJobsNasTrialDetail resource.

Examples

describe google_vertex_ai_nas_jobs_nas_trial_detail(name: "projects/#{gcp_project_id}/locations/#{nas_jobs_nas_trial_detail['region']}/nasJobs/#{nas_jobs_nas_trial_detail['nasJob']}/nasTrialDetails/#{nas_jobs_nas_trial_detail['name']}", region: ' value_region') do
	it { should exist }
	its('parameters') { should cmp 'value_parameters' }
	its('name') { should cmp 'value_name' }

end

describe google_vertex_ai_nas_jobs_nas_trial_detail(name: "does_not_exit", region: ' value_region') do
	it { should_not exist }
end

Properties

Properties that can be accessed from the google_vertex_ai_nas_jobs_nas_trial_detail resource:

parameters: The parameters for the NasJob NasTrial.
name: Output only. Resource name of the NasTrialDetail.
search_trial: Represents a uCAIP NasJob trial.
- id: Output only. The identifier of the NasTrial assigned by the service.
- state: Output only. The detailed state of the NasTrial. Possible values:
  - STATE_UNSPECIFIED
  - REQUESTED
  - ACTIVE
  - STOPPING
  - SUCCEEDED
  - INFEASIBLE
- final_measurement: A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values.
  - metrics: Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values.
    - metric_id: Output only. The ID of the Metric. The Metric should be defined in StudySpec’s Metrics.
    - value: Output only. The value for this metric.
  - elapsed_duration: Output only. Time that the Trial has been running at the point of this Measurement.
  - step_count: Output only. The number of steps the machine learning model has been trained for. Must be non-negative.
- start_time: Output only. Time when the NasTrial was started.
- end_time: Output only. Time when the NasTrial’s status changed to SUCCEEDED or INFEASIBLE.
train_trial: Represents a uCAIP NasJob trial.
- id: Output only. The identifier of the NasTrial assigned by the service.
- state: Output only. The detailed state of the NasTrial. Possible values:
  - STATE_UNSPECIFIED
  - REQUESTED
  - ACTIVE
  - STOPPING
  - SUCCEEDED
  - INFEASIBLE
- final_measurement: A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values.
  - metrics: Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values.
    - metric_id: Output only. The ID of the Metric. The Metric should be defined in StudySpec’s Metrics.
    - value: Output only. The value for this metric.
  - elapsed_duration: Output only. Time that the Trial has been running at the point of this Measurement.
  - step_count: Output only. The number of steps the machine learning model has been trained for. Must be non-negative.
- start_time: Output only. Time when the NasTrial was started.
- end_time: Output only. Time when the NasTrial’s status changed to SUCCEEDED or INFEASIBLE.

google_vertex_ai_nas_jobs_nas_trial_detail resource

Examples

Properties

GCP permissions