/AWS1/CL_SGMHYPPRMTUNJOBSTGY00¶

The configuration for a training job launched by a hyperparameter tuning job. Choose Bayesian for Bayesian optimization, and Random for random search optimization. For more advanced use cases, use Hyperband, which evaluates objective metrics for training jobs after every epoch. For more information about strategies, see How Hyperparameter Tuning Works.

`CONSTRUCTOR`¶

IMPORTING¶

Optional arguments:¶

`io_hyperbandstrategyconfig` `TYPE REF TO /AWS1/CL_SGMHYPERBANDSTRAGCFG` `/AWS1/CL_SGMHYPERBANDSTRAGCFG`¶

The configuration for the object that specifies the Hyperband strategy. This parameter is only supported for the Hyperband selection for Strategy within the HyperParameterTuningJobConfig API.

Queryable Attributes¶

HyperbandStrategyConfig¶