| Column Name | Column Data Type |
|---|
creation_time_after Input Column
A filter that returns only tuning jobs that were created after the specified time. | TIMESTAMP_S |
creation_time_before Input Column
A filter that returns only tuning jobs that were created before the specified time. | TIMESTAMP_S |
last_modified_time_after Input Column
A filter that returns only tuning jobs that were modified after the specified time. | TIMESTAMP_S |
last_modified_time_before Input Column
A filter that returns only tuning jobs that were modified before the specified time. | TIMESTAMP_S |
name_contains Input Column
A string in the tuning job name. This filter returns only tuning jobs whose name contains the specified string. | VARCHAR |
sort_by Input Column
The field to sort results by. The default is Name. | VARCHAR |
sort_order Input Column
The sort order for results. The default is Ascending. | VARCHAR |
status_equals Input Column
A filter that returns only tuning jobs with the specified status. | VARCHAR |
_aws_profile Input Column
The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT(
"type" VARCHAR,
"name" VARCHAR,
"account_id" VARCHAR,
"via_profile_name" VARCHAR,
"assumed_role_arn" VARCHAR,
"organization" STRUCT(
"account_name" VARCHAR,
"id" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[],
"master_account" STRUCT(
"id" VARCHAR,
"email" VARCHAR
),
"parents" STRUCT(
"type" VARCHAR,
"id" VARCHAR,
"name" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[]
)[]
)
) |
Show child fields- _aws_profile.account_id
The AWS account id - _aws_profile.assumed_role_arn
The ARN of the assumed role - _aws_profile.name
The unique name of the profile. - _aws_profile.organization
Information about this profile's membership in the AWS organization. Show child fields- _aws_profile.organization.account_name
The name of account speciifed by the organization - _aws_profile.organization.id
The organization id - _aws_profile.organization.master_account
Show child fields- _aws_profile.organization.master_account.email
The organization master account email address - _aws_profile.organization.master_account.id
The organization master account id
- _aws_profile.organization.parents[]
Show child fields- _aws_profile.organization.parents[].id
The id of the parent - _aws_profile.organization.parents[].name
The name of the parent - _aws_profile.organization.parents[].tags[]
Show child fields- _aws_profile.organization.parents[].tags[].key
- _aws_profile.organization.parents[].tags[].value
- _aws_profile.organization.parents[].type
The type of parent can be an organization unit or a root
- _aws_profile.organization.tags[]
Show child fields- _aws_profile.organization.tags[].key
- _aws_profile.organization.tags[].value
- _aws_profile.type
The type of profile, either 'credentials' or 'assumed_role' - _aws_profile.via_profile_name
This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.
|
creation_time
The date and time that the tuning job was created. | TIMESTAMP_S |
hyper_parameter_tuning_end_time
The date and time that the tuning job ended. | TIMESTAMP_S |
hyper_parameter_tuning_job_arn
The Amazon Resource Name (ARN) of the tuning job. | VARCHAR |
hyper_parameter_tuning_job_name
The name of the tuning job. | VARCHAR |
hyper_parameter_tuning_job_status
The status of the tuning job. | VARCHAR |
last_modified_time
The date and time that the tuning job was modified. | TIMESTAMP_S |
objective_status_counters
The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched. | STRUCT(
"succeeded" BIGINT,
"pending" BIGINT,
"failed" BIGINT
) |
Show child fields- objective_status_counters.failed
The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric. - objective_status_counters.pending
The number of training jobs that are in progress and pending evaluation of their final objective metric. - objective_status_counters.succeeded
The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
|
resource_limits
The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job. | STRUCT(
"max_number_of_training_jobs" BIGINT,
"max_parallel_training_jobs" BIGINT,
"max_runtime_in_seconds" BIGINT
) |
Show child fields- resource_limits.max_number_of_training_jobs
The maximum number of training jobs that a hyperparameter tuning job can launch. - resource_limits.max_parallel_training_jobs
The maximum number of concurrent training jobs that a hyperparameter tuning job can launch. - resource_limits.max_runtime_in_seconds
The maximum time in seconds that a hyperparameter tuning job can run.
|
strategy
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to evaluate at each iteration. | VARCHAR |
training_job_status_counters
The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched. | STRUCT(
"completed" BIGINT,
"in_progress" BIGINT,
"retryable_error" BIGINT,
"non_retryable_error" BIGINT,
"stopped" BIGINT
) |
Show child fields- training_job_status_counters.completed
The number of completed training jobs launched by the hyperparameter tuning job. - training_job_status_counters.in_progress
The number of in-progress training jobs launched by a hyperparameter tuning job. - training_job_status_counters.non_retryable_error
The number of training jobs that failed and can't be retried. A failed training job can't be retried if it failed because a client error occurred. - training_job_status_counters.retryable_error
The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred. - training_job_status_counters.stopped
The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
|