training_jobs_for_hyper_parameter_tuning_jobs
Creates, updates, deletes, gets or lists a training_jobs_for_hyper_parameter_tuning_jobs resource.
Overview
| Name | training_jobs_for_hyper_parameter_tuning_jobs |
| Type | Resource |
| Id | aws.sagemaker.training_jobs_for_hyper_parameter_tuning_jobs |
Fields
The following fields are returned by SELECT queries:
- list_training_jobs_for_hyper_parameter_tuning_job
| Name | Datatype | Description |
|---|---|---|
creation_time | string (date-time) | The date and time that the training job was created. |
failure_reason | string | The reason that the training job failed. |
final_hyper_parameter_tuning_job_objective_metric | object | The FinalHyperParameterTuningJobObjectiveMetric object that specifies the value of the objective metric of the tuning job that launched this training job. |
objective_status | string | The status of the objective metric for the training job: Succeeded: The final objective metric for the training job was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process. Pending: The training job is in progress and evaluation of its final objective metric is pending. Failed: The final objective metric for the training job was not evaluated, and was not used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric. (Succeeded, Pending, Failed) |
training_end_time | string (date-time) | Specifies the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker detects a job failure. |
training_job_arn | string | The Amazon Resource Name (ARN) of the training job. (pattern: <code>arn:aws[a-z-]:sagemaker:[a-z0-9-]:[0-9]{12}:training-job/[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}</code>) |
training_job_definition_name | string | The training job definition name. (pattern: <code>[a-zA-Z0-9](-*[a-zA-Z0-9]){0,63}</code>) |
training_job_name | string | The name of the training job. (pattern: <code>[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}</code>) |
training_job_status | string | The status of the training job. (InProgress, Completed, Failed, Stopping, Stopped, Deleting) |
training_start_time | string (date-time) | The date and time that the training job started. |
tuned_hyper_parameters | object | A list of the hyperparameters for which you specified ranges to search. |
tuning_job_name | string | The HyperParameter tuning job that launched the training job. (pattern: <code>[a-zA-Z0-9](-*[a-zA-Z0-9]){0,31}</code>) |
Methods
The following methods are available for this resource:
| Name | Accessible by | Required Params | Optional Params | Description |
|---|---|---|---|---|
list_training_jobs_for_hyper_parameter_tuning_job | select | region | Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched. |
Parameters
Parameters can be passed in the WHERE clause of a query. Check the Methods section to see which parameters are required or optional for each operation.
| Name | Datatype | Description |
|---|---|---|
region | string | AWS region (default: us-east-1) |
SELECT examples
- list_training_jobs_for_hyper_parameter_tuning_job
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
SELECT
creation_time,
failure_reason,
final_hyper_parameter_tuning_job_objective_metric,
objective_status,
training_end_time,
training_job_arn,
training_job_definition_name,
training_job_name,
training_job_status,
training_start_time,
tuned_hyper_parameters,
tuning_job_name
FROM aws.sagemaker.training_jobs_for_hyper_parameter_tuning_jobs
WHERE region = '{{ region }}' -- required
;