/AWS1/CL_SGMHYPPRMTUNJOBSRCH00¶
An entity returned by the SearchRecord API containing the properties of a hyperparameter tuning job.
CONSTRUCTOR¶
IMPORTING¶
Optional arguments:¶
iv_hyperparamtuningjobname TYPE /AWS1/SGMHYPERPARAMTUNJOBNAME /AWS1/SGMHYPERPARAMTUNJOBNAME¶
The name of a hyperparameter tuning job.
iv_hyperparamtuningjobarn TYPE /AWS1/SGMHYPERPARAMTUNJOBARN /AWS1/SGMHYPERPARAMTUNJOBARN¶
The Amazon Resource Name (ARN) of a hyperparameter tuning job.
io_hyperparamtuningjobconfig TYPE REF TO /AWS1/CL_SGMHYPPARAMTUNJOBCFG /AWS1/CL_SGMHYPPARAMTUNJOBCFG¶
Configures a hyperparameter tuning job.
io_trainingjobdefinition TYPE REF TO /AWS1/CL_SGMHYPPARAMTRNJOBDEFN /AWS1/CL_SGMHYPPARAMTRNJOBDEFN¶
Defines the training jobs launched by a hyperparameter tuning job.
it_trainingjobdefinitions TYPE /AWS1/CL_SGMHYPPARAMTRNJOBDEFN=>TT_HYPERPARAMTRAININGJOBDEFNS TT_HYPERPARAMTRAININGJOBDEFNS¶
The job definitions included in a hyperparameter tuning job.
iv_hyperparamtuningjobstatus TYPE /AWS1/SGMHYPERPARAMTUNJOBSTAT /AWS1/SGMHYPERPARAMTUNJOBSTAT¶
The status of a hyperparameter tuning job.
iv_creationtime TYPE /AWS1/SGMTIMESTAMP /AWS1/SGMTIMESTAMP¶
The time that a hyperparameter tuning job was created.
iv_hyperparamtuningendtime TYPE /AWS1/SGMTIMESTAMP /AWS1/SGMTIMESTAMP¶
The time that a hyperparameter tuning job ended.
iv_lastmodifiedtime TYPE /AWS1/SGMTIMESTAMP /AWS1/SGMTIMESTAMP¶
The time that a hyperparameter tuning job was last modified.
io_trainingjobstatuscounters TYPE REF TO /AWS1/CL_SGMTRNJOBSTATCOUNTERS /AWS1/CL_SGMTRNJOBSTATCOUNTERS¶
The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
io_objectivestatuscounters TYPE REF TO /AWS1/CL_SGMOBJIVESTATCOUNTERS /AWS1/CL_SGMOBJIVESTATCOUNTERS¶
Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of their objective metric. The objective metric status shows whether the final objective metric for the training job has been evaluated by the tuning job and used in the hyperparameter tuning process.
io_besttrainingjob TYPE REF TO /AWS1/CL_SGMHYPPARAMTRNJOBSUMM /AWS1/CL_SGMHYPPARAMTRNJOBSUMM¶
The container for the summary information about a training job.
io_overallbesttrainingjob TYPE REF TO /AWS1/CL_SGMHYPPARAMTRNJOBSUMM /AWS1/CL_SGMHYPPARAMTRNJOBSUMM¶
The container for the summary information about a training job.
io_warmstartconfig TYPE REF TO /AWS1/CL_SGMHYPPRMTUNJOBWARM00 /AWS1/CL_SGMHYPPRMTUNJOBWARM00¶
Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric, and the training job that performs the best is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.
All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
iv_failurereason TYPE /AWS1/SGMFAILUREREASON /AWS1/SGMFAILUREREASON¶
The error that was created when a hyperparameter tuning job failed.
io_tuningjobcompletiondets TYPE REF TO /AWS1/CL_SGMHYPPRMTUNJOBCOMP00 /AWS1/CL_SGMHYPPRMTUNJOBCOMP00¶
Information about either a current or completed hyperparameter tuning job.
io_consumedresources TYPE REF TO /AWS1/CL_SGMHYPPRMTUNJOBCONS00 /AWS1/CL_SGMHYPPRMTUNJOBCONS00¶
The total amount of resources consumed by a hyperparameter tuning job.
it_tags TYPE /AWS1/CL_SGMTAG=>TT_TAGLIST TT_TAGLIST¶
The tags associated with a hyperparameter tuning job. For more information see Tagging Amazon Web Services resources.
Queryable Attributes¶
HyperParameterTuningJobName¶
The name of a hyperparameter tuning job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_HYPERPARAMTUNINGJOBNAME() |
Getter for HYPERPARAMETERTUNINGJOBNAME, with configurable de |
ASK_HYPERPARAMTUNINGJOBNAME() |
Getter for HYPERPARAMETERTUNINGJOBNAME w/ exceptions if fiel |
HAS_HYPERPARAMTUNINGJOBNAME() |
Determine if HYPERPARAMETERTUNINGJOBNAME has a value |
HyperParameterTuningJobArn¶
The Amazon Resource Name (ARN) of a hyperparameter tuning job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_HYPERPARAMTUNINGJOBARN() |
Getter for HYPERPARAMETERTUNINGJOBARN, with configurable def |
ASK_HYPERPARAMTUNINGJOBARN() |
Getter for HYPERPARAMETERTUNINGJOBARN w/ exceptions if field |
HAS_HYPERPARAMTUNINGJOBARN() |
Determine if HYPERPARAMETERTUNINGJOBARN has a value |
HyperParameterTuningJobConfig¶
Configures a hyperparameter tuning job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_HYPERPARAMTUNJOBCONFIG() |
Getter for HYPERPARAMTUNINGJOBCONFIG |
TrainingJobDefinition¶
Defines the training jobs launched by a hyperparameter tuning job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_TRAININGJOBDEFINITION() |
Getter for TRAININGJOBDEFINITION |
TrainingJobDefinitions¶
The job definitions included in a hyperparameter tuning job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_TRAININGJOBDEFINITIONS() |
Getter for TRAININGJOBDEFINITIONS, with configurable default |
ASK_TRAININGJOBDEFINITIONS() |
Getter for TRAININGJOBDEFINITIONS w/ exceptions if field has |
HAS_TRAININGJOBDEFINITIONS() |
Determine if TRAININGJOBDEFINITIONS has a value |
HyperParameterTuningJobStatus¶
The status of a hyperparameter tuning job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_HYPERPARAMTUNJOBSTATUS() |
Getter for HYPERPARAMTUNINGJOBSTATUS, with configurable defa |
ASK_HYPERPARAMTUNJOBSTATUS() |
Getter for HYPERPARAMTUNINGJOBSTATUS w/ exceptions if field |
HAS_HYPERPARAMTUNJOBSTATUS() |
Determine if HYPERPARAMTUNINGJOBSTATUS has a value |
CreationTime¶
The time that a hyperparameter tuning job was created.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_CREATIONTIME() |
Getter for CREATIONTIME, with configurable default |
ASK_CREATIONTIME() |
Getter for CREATIONTIME w/ exceptions if field has no value |
HAS_CREATIONTIME() |
Determine if CREATIONTIME has a value |
HyperParameterTuningEndTime¶
The time that a hyperparameter tuning job ended.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_HYPERPARAMTUNINGENDTIME() |
Getter for HYPERPARAMETERTUNINGENDTIME, with configurable de |
ASK_HYPERPARAMTUNINGENDTIME() |
Getter for HYPERPARAMETERTUNINGENDTIME w/ exceptions if fiel |
HAS_HYPERPARAMTUNINGENDTIME() |
Determine if HYPERPARAMETERTUNINGENDTIME has a value |
LastModifiedTime¶
The time that a hyperparameter tuning job was last modified.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_LASTMODIFIEDTIME() |
Getter for LASTMODIFIEDTIME, with configurable default |
ASK_LASTMODIFIEDTIME() |
Getter for LASTMODIFIEDTIME w/ exceptions if field has no va |
HAS_LASTMODIFIEDTIME() |
Determine if LASTMODIFIEDTIME has a value |
TrainingJobStatusCounters¶
The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_TRNJOBSTATUSCOUNTERS() |
Getter for TRAININGJOBSTATUSCOUNTERS |
ObjectiveStatusCounters¶
Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of their objective metric. The objective metric status shows whether the final objective metric for the training job has been evaluated by the tuning job and used in the hyperparameter tuning process.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_OBJECTIVESTATUSCOUNTERS() |
Getter for OBJECTIVESTATUSCOUNTERS |
BestTrainingJob¶
The container for the summary information about a training job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_BESTTRAININGJOB() |
Getter for BESTTRAININGJOB |
OverallBestTrainingJob¶
The container for the summary information about a training job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_OVERALLBESTTRAININGJOB() |
Getter for OVERALLBESTTRAININGJOB |
WarmStartConfig¶
Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric, and the training job that performs the best is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.
All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_WARMSTARTCONFIG() |
Getter for WARMSTARTCONFIG |
FailureReason¶
The error that was created when a hyperparameter tuning job failed.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_FAILUREREASON() |
Getter for FAILUREREASON, with configurable default |
ASK_FAILUREREASON() |
Getter for FAILUREREASON w/ exceptions if field has no value |
HAS_FAILUREREASON() |
Determine if FAILUREREASON has a value |
TuningJobCompletionDetails¶
Information about either a current or completed hyperparameter tuning job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_TUNINGJOBCOMPLETIONDETS() |
Getter for TUNINGJOBCOMPLETIONDETAILS |
ConsumedResources¶
The total amount of resources consumed by a hyperparameter tuning job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_CONSUMEDRESOURCES() |
Getter for CONSUMEDRESOURCES |
Tags¶
The tags associated with a hyperparameter tuning job. For more information see Tagging Amazon Web Services resources.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_TAGS() |
Getter for TAGS, with configurable default |
ASK_TAGS() |
Getter for TAGS w/ exceptions if field has no value |
HAS_TAGS() |
Determine if TAGS has a value |