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google_vertex_ai_nas_jobs_nas_trial_detail.md

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title platform
About the google_vertex_ai_nas_jobs_nas_trial_detail resource
gcp

Syntax

A google_vertex_ai_nas_jobs_nas_trial_detail is used to test a Google 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.

GCP Permissions