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Describes the resources, including ML compute instances and ML storage volumes, to use for model training.
public class ResourceConfig
The ResourceConfig type exposes the following members
Gets and sets the property InstanceCount.
The number of ML compute instances to use. For distributed training, provide a value greater than 1.
Gets and sets the property InstanceType.
The ML compute instance type.
Gets and sets the property VolumeKmsKeyId.
The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.
Gets and sets the property VolumeSizeInGB.
The size of the ML storage volume that you want to provision.
ML storage volumes store model artifacts and incremental states. Training algorithms
might also use the ML storage volume for scratch space. If you want to store the training
data in the ML storage volume, choose
You must specify sufficient ML storage for your scenario.
Amazon SageMaker supports only the General Purpose SSD (gp2) ML storage volume type.
Supported in: 1.3
Supported in: 4.5, 4.0, 3.5
Portable Class Library:
Supported in: Windows Store Apps
Supported in: Windows Phone 8.1
Supported in: Xamarin Android
Supported in: Xamarin iOS (Unified)
Supported in: Xamarin.Forms