MachineLearningJobResourceConfiguration Class
Definition
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The MachineLearningJobResourceConfiguration.
public class MachineLearningJobResourceConfiguration : Azure.ResourceManager.MachineLearning.Models.MachineLearningResourceConfiguration
type MachineLearningJobResourceConfiguration = class
inherit MachineLearningResourceConfiguration
Public Class MachineLearningJobResourceConfiguration
Inherits MachineLearningResourceConfiguration
- Inheritance
Constructors
MachineLearningJobResourceConfiguration() |
Initializes a new instance of MachineLearningJobResourceConfiguration. |
Properties
DockerArgs |
Extra arguments to pass to the Docker run command. This would override any parameters that have already been set by the system, or in this section. This parameter is only supported for Azure ML compute types. |
InstanceCount |
Optional number of instances or nodes used by the compute target. (Inherited from MachineLearningResourceConfiguration) |
InstanceType |
Optional type of VM used as supported by the compute target. (Inherited from MachineLearningResourceConfiguration) |
Locations |
Locations where the job can run. (Inherited from MachineLearningResourceConfiguration) |
MaxInstanceCount |
Optional max allowed number of instances or nodes to be used by the compute target. For use with elastic training, currently supported by PyTorch distribution type only. (Inherited from MachineLearningResourceConfiguration) |
Properties |
Additional properties bag. To assign an object to the value of this property use FromObjectAsJson<T>(T, JsonSerializerOptions). To assign an already formatted json string to this property use FromString(String). Examples:
|
ShmSize |
Size of the docker container's shared memory block. This should be in the format of (number)(unit) where number as to be greater than 0 and the unit can be one of b(bytes), k(kilobytes), m(megabytes), or g(gigabytes). |
Applies to
Azure SDK for .NET
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