MachineLearningResourceConfiguration Class

Reference

Definition

Namespace:: Azure.ResourceManager.MachineLearning.Models

Assembly:: Azure.ResourceManager.MachineLearning.dll

Package:: Azure.ResourceManager.MachineLearning v1.2.1

Package:: Azure.ResourceManager.MachineLearning v1.2.0-beta.3

Source:: MachineLearningResourceConfiguration.cs

Source:: MachineLearningResourceConfiguration.cs

Important

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The MachineLearningResourceConfiguration.

public class MachineLearningResourceConfiguration : System.ClientModel.Primitives.IJsonModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningResourceConfiguration>, System.ClientModel.Primitives.IPersistableModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningResourceConfiguration>

public class MachineLearningResourceConfiguration

type MachineLearningResourceConfiguration = class
    interface IJsonModel<MachineLearningResourceConfiguration>
    interface IPersistableModel<MachineLearningResourceConfiguration>

type MachineLearningResourceConfiguration = class

Public Class MachineLearningResourceConfiguration
Implements IJsonModel(Of MachineLearningResourceConfiguration), IPersistableModel(Of MachineLearningResourceConfiguration)

Public Class MachineLearningResourceConfiguration

Inheritance: Object
MachineLearningResourceConfiguration

Derived: Azure.ResourceManager.MachineLearning.Models.MachineLearningDeploymentResourceConfiguration

Azure.ResourceManager.MachineLearning.Models.MachineLearningJobResourceConfiguration

Implements: IJsonModel<MachineLearningResourceConfiguration> IPersistableModel<MachineLearningResourceConfiguration> IPersistableModel<T>

Constructors

MachineLearningResourceConfiguration()

Initializes a new instance of MachineLearningResourceConfiguration.

Properties

InstanceCount	Optional number of instances or nodes used by the compute target.
InstanceType	Optional type of VM used as supported by the compute target.
Locations	Locations where the job can run.
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.
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: BinaryData.FromObjectAsJson("foo"): Creates a payload of "foo". BinaryData.FromString("\"foo\""): Creates a payload of "foo". BinaryData.FromObjectAsJson(new { key = "value" }): Creates a payload of { "key": "value" }. BinaryData.FromString("{\"key\": \"value\"}"): Creates a payload of { "key": "value" }.

Explicit Interface Implementations

IJsonModel<MachineLearningResourceConfiguration>.Create(Utf8JsonReader, ModelReaderWriterOptions)	Reads one JSON value (including objects or arrays) from the provided reader and converts it to a model.
IJsonModel<MachineLearningResourceConfiguration>.Write(Utf8JsonWriter, ModelReaderWriterOptions)	Writes the model to the provided Utf8JsonWriter.
IPersistableModel<MachineLearningResourceConfiguration>.Create(BinaryData, ModelReaderWriterOptions)	Converts the provided BinaryData into a model.
IPersistableModel<MachineLearningResourceConfiguration>.GetFormatFromOptions(ModelReaderWriterOptions)	Gets the data interchange format (JSON, Xml, etc) that the model uses when communicating with the service.
IPersistableModel<MachineLearningResourceConfiguration>.Write(ModelReaderWriterOptions)	Writes the model into a BinaryData.

Applies to

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