resourceConfig property
The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.
Storage volumes store model artifacts and incremental states. Training
algorithms might also use storage volumes for scratch space. If you want
Amazon SageMaker to use the storage volume to store the training data,
choose File as the TrainingInputMode in the
algorithm specification. For distributed training algorithms, specify an
instance count greater than 1.
Implementation
final ResourceConfig resourceConfig;