/AWS1/CL_SGMAUTOTUNE¶
A flag to indicate if you want to use Autotune to automatically find optimal values for the following fields:
-
ParameterRanges: The names and ranges of parameters that a hyperparameter tuning job can optimize.
-
ResourceLimits: The maximum resources that can be used for a training job. These resources include the maximum number of training jobs, the maximum runtime of a tuning job, and the maximum number of training jobs to run at the same time.
-
TrainingJobEarlyStoppingType: A flag that specifies whether or not to use early stopping for training jobs launched by a hyperparameter tuning job.
-
RetryStrategy: The number of times to retry a training job.
-
Strategy: Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training jobs that it launches.
-
ConvergenceDetected: A flag to indicate that Automatic model tuning (AMT) has detected model convergence.
CONSTRUCTOR¶
IMPORTING¶
Required arguments:¶
iv_mode TYPE /AWS1/SGMAUTOTUNEMODE /AWS1/SGMAUTOTUNEMODE¶
Set
ModetoEnabledif you want to use Autotune.
Queryable Attributes¶
Mode¶
Set
ModetoEnabledif you want to use Autotune.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_MODE() |
Getter for MODE, with configurable default |
ASK_MODE() |
Getter for MODE w/ exceptions if field has no value |
HAS_MODE() |
Determine if MODE has a value |