ResourceConfig class
Describes the resources, including ML compute instances and ML storage volumes, to use for model training.
Constructors
- ResourceConfig({required int instanceCount, required TrainingInstanceType instanceType, required int volumeSizeInGB, String? volumeKmsKeyId})
-
ResourceConfig.fromJson(Map<
String, dynamic> json) -
factory
Properties
- hashCode → int
-
The hash code for this object.
no setterinherited
- instanceCount → int
-
The number of ML compute instances to use. For distributed training, provide
a value greater than 1.
final
- instanceType → TrainingInstanceType
-
The ML compute instance type.
final
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
- volumeKmsKeyId → String?
-
The AWS KMS key that Amazon SageMaker uses to encrypt data on the storage
volume attached to the ML compute instance(s) that run the training job.
final
- volumeSizeInGB → int
-
The size of the ML storage volume that you want to provision.
final
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toJson(
) → Map< String, dynamic> -
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited