MachineLearningBatchDeploymentProperties Class

Definition

Namespace:

Azure.ResourceManager.MachineLearning.Models

Assembly:

Azure.ResourceManager.MachineLearning.dll

Package:

Azure.ResourceManager.MachineLearning v1.1.1

Source:

MachineLearningBatchDeploymentProperties.cs

Batch inference settings per deployment.

public class MachineLearningBatchDeploymentProperties : Azure.ResourceManager.MachineLearning.Models.MachineLearningEndpointDeploymentProperties

type MachineLearningBatchDeploymentProperties = class
    inherit MachineLearningEndpointDeploymentProperties

Public Class MachineLearningBatchDeploymentProperties
Inherits MachineLearningEndpointDeploymentProperties

Inheritance

Object

MachineLearningEndpointDeploymentProperties

MachineLearningBatchDeploymentProperties

Constructors

MachineLearningBatchDeploymentProperties()

Initializes a new instance of MachineLearningBatchDeploymentProperties.

Properties

CodeConfiguration	Code configuration for the endpoint deployment. (Inherited from MachineLearningEndpointDeploymentProperties)
Compute	Compute target for batch inference operation.
Description	Description of the endpoint deployment. (Inherited from MachineLearningEndpointDeploymentProperties)
EnvironmentId	ARM resource ID of the environment specification for the endpoint deployment. (Inherited from MachineLearningEndpointDeploymentProperties)
EnvironmentVariables	Environment variables configuration for the deployment. (Inherited from MachineLearningEndpointDeploymentProperties)
ErrorThreshold	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	Logging level for batch inference operation.
MaxConcurrencyPerInstance	Indicates maximum number of parallelism per instance.
MiniBatchSize	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	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.
OutputAction	Indicates how the output will be organized.
OutputFileName	Customized output file name for append_row output action.
Properties	Property dictionary. Properties can be added, but not removed or altered. (Inherited from MachineLearningEndpointDeploymentProperties)
ProvisioningState	Provisioning state for the endpoint deployment.
Resources	Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
RetrySettings	Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.