ArmMachineLearningModelFactory.MonitorServerlessSparkCompute Method

Definition

Namespace:: Azure.ResourceManager.MachineLearning.Models

Assembly:: Azure.ResourceManager.MachineLearning.dll

Package:: Azure.ResourceManager.MachineLearning v1.3.0

Source:: ArmMachineLearningModelFactory.cs

Important

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

Monitor serverless spark compute definition.

public static Azure.ResourceManager.MachineLearning.Models.MonitorServerlessSparkCompute MonitorServerlessSparkCompute(Azure.ResourceManager.MachineLearning.Models.MonitorComputeIdentityBase computeIdentity = default, string instanceType = default, string runtimeVersion = default);

static member MonitorServerlessSparkCompute : Azure.ResourceManager.MachineLearning.Models.MonitorComputeIdentityBase * string * string -> Azure.ResourceManager.MachineLearning.Models.MonitorServerlessSparkCompute

Public Shared Function MonitorServerlessSparkCompute (Optional computeIdentity As MonitorComputeIdentityBase = Nothing, Optional instanceType As String = Nothing, Optional runtimeVersion As String = Nothing) As MonitorServerlessSparkCompute

Parameters

computeIdentity: MonitorComputeIdentityBase

[Required] The identity scheme leveraged to by the spark jobs running on serverless Spark.

instanceType: String

[Required] The instance type running the Spark job.

runtimeVersion: String

[Required] The Spark runtime version.

Returns

MonitorServerlessSparkCompute

A new MonitorServerlessSparkCompute instance for mocking.

Applies to

คำติชม

หน้านี้มีประโยชน์หรือไม่