ArmMachineLearningModelFactory.MachineLearningBatchDeploymentProperties Method

Reference

Definition

Namespace:: Azure.ResourceManager.MachineLearning.Models

Assembly:: Azure.ResourceManager.MachineLearning.dll

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

Source:: ArmMachineLearningModelFactory.cs

Important

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Initializes a new instance of MachineLearningBatchDeploymentProperties.

public static Azure.ResourceManager.MachineLearning.Models.MachineLearningBatchDeploymentProperties MachineLearningBatchDeploymentProperties (Azure.ResourceManager.MachineLearning.Models.MachineLearningCodeConfiguration codeConfiguration = default, string description = default, string environmentId = default, System.Collections.Generic.IDictionary<string,string> environmentVariables = default, System.Collections.Generic.IDictionary<string,string> properties = default, string compute = default, Azure.ResourceManager.MachineLearning.Models.BatchDeploymentConfiguration deploymentConfiguration = default, int? errorThreshold = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningBatchLoggingLevel? loggingLevel = default, int? maxConcurrencyPerInstance = default, long? miniBatchSize = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningAssetReferenceBase model = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningBatchOutputAction? outputAction = default, string outputFileName = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningDeploymentProvisioningState? provisioningState = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningDeploymentResourceConfiguration resources = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningBatchRetrySettings retrySettings = default);

static member MachineLearningBatchDeploymentProperties : Azure.ResourceManager.MachineLearning.Models.MachineLearningCodeConfiguration * string * string * System.Collections.Generic.IDictionary<string, string> * System.Collections.Generic.IDictionary<string, string> * string * Azure.ResourceManager.MachineLearning.Models.BatchDeploymentConfiguration * Nullable<int> * Nullable<Azure.ResourceManager.MachineLearning.Models.MachineLearningBatchLoggingLevel> * Nullable<int> * Nullable<int64> * Azure.ResourceManager.MachineLearning.Models.MachineLearningAssetReferenceBase * Nullable<Azure.ResourceManager.MachineLearning.Models.MachineLearningBatchOutputAction> * string * Nullable<Azure.ResourceManager.MachineLearning.Models.MachineLearningDeploymentProvisioningState> * Azure.ResourceManager.MachineLearning.Models.MachineLearningDeploymentResourceConfiguration * Azure.ResourceManager.MachineLearning.Models.MachineLearningBatchRetrySettings -> Azure.ResourceManager.MachineLearning.Models.MachineLearningBatchDeploymentProperties

Public Shared Function MachineLearningBatchDeploymentProperties (Optional codeConfiguration As MachineLearningCodeConfiguration = Nothing, Optional description As String = Nothing, Optional environmentId As String = Nothing, Optional environmentVariables As IDictionary(Of String, String) = Nothing, Optional properties As IDictionary(Of String, String) = Nothing, Optional compute As String = Nothing, Optional deploymentConfiguration As BatchDeploymentConfiguration = Nothing, Optional errorThreshold As Nullable(Of Integer) = Nothing, Optional loggingLevel As Nullable(Of MachineLearningBatchLoggingLevel) = Nothing, Optional maxConcurrencyPerInstance As Nullable(Of Integer) = Nothing, Optional miniBatchSize As Nullable(Of Long) = Nothing, Optional model As MachineLearningAssetReferenceBase = Nothing, Optional outputAction As Nullable(Of MachineLearningBatchOutputAction) = Nothing, Optional outputFileName As String = Nothing, Optional provisioningState As Nullable(Of MachineLearningDeploymentProvisioningState) = Nothing, Optional resources As MachineLearningDeploymentResourceConfiguration = Nothing, Optional retrySettings As MachineLearningBatchRetrySettings = Nothing) As MachineLearningBatchDeploymentProperties

Parameters

codeConfiguration: MachineLearningCodeConfiguration

Code configuration for the endpoint deployment.

description: String

Description of the endpoint deployment.

environmentId: String

ARM resource ID of the environment specification for the endpoint deployment.

environmentVariables: IDictionary<String,String>

Environment variables configuration for the deployment.

properties: IDictionary<String,String>

Property dictionary. Properties can be added, but not removed or altered.

compute: String

Compute target for batch inference operation.

deploymentConfiguration: BatchDeploymentConfiguration

Properties relevant to different deployment types. Please note BatchDeploymentConfiguration is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include BatchPipelineComponentDeploymentConfiguration.

errorThreshold: Nullable<Int32>

Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored.

loggingLevel: Nullable<MachineLearningBatchLoggingLevel>

Logging level for batch inference operation.

maxConcurrencyPerInstance: Nullable<Int32>

Indicates maximum number of parallelism per instance.

miniBatchSize: Nullable<Int64>

Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch.

model: MachineLearningAssetReferenceBase

Reference to the model asset for the endpoint deployment. Please note MachineLearningAssetReferenceBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningDataPathAssetReference, MachineLearningOutputPathAssetReference and MachineLearningIdAssetReference.