BatchDeploymentProperties Class

Reference

Definition

Namespace:: Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401

Assembly:: Az.MachineLearningServices.private.dll

Important

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Batch inference settings per deployment.

[System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.BatchDeploymentPropertiesTypeConverter))]
public class BatchDeploymentProperties : Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.IBatchDeploymentProperties, Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Runtime.IValidates

[<System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.BatchDeploymentPropertiesTypeConverter))>]
type BatchDeploymentProperties = class
    interface IBatchDeploymentProperties
    interface IJsonSerializable
    interface IEndpointDeploymentPropertiesBase
    interface IValidates

Public Class BatchDeploymentProperties
Implements IBatchDeploymentProperties, IValidates

Inheritance: Object
BatchDeploymentProperties

Attributes: TypeConverterAttribute

Implements: IBatchDeploymentProperties IEndpointDeploymentPropertiesBase IJsonSerializable IValidates

Constructors

BatchDeploymentProperties()

Creates an new BatchDeploymentProperties instance.

Properties

CodeConfiguration	Code configuration for the endpoint deployment.
CodeConfigurationCodeId	ARM resource ID of the code asset.
CodeConfigurationScoringScript	[Required] The script to execute on startup. eg. "score.py"
Compute	Compute target for batch inference operation.
DeploymentConfigurationType	[Required] The type of the deployment
Description	Description of the endpoint deployment.
EnvironmentId	ARM resource ID or AssetId of the environment specification for the endpoint deployment.
EnvironmentVariable	Environment variables configuration for the deployment.
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.
OutputAction	Indicates how the output will be organized.
OutputFileName	Customized output file name for append_row output action.
Property	Property dictionary. Properties can be added, but not removed or altered.
ProvisioningState	Provisioning state for the endpoint deployment.
ResourceInstanceCount	Optional number of instances or nodes used by the compute target.
ResourceInstanceType	Optional type of VM used as supported by the compute target.
ResourceProperty	Additional properties bag.
RetrySettingMaxRetry	Maximum retry count for a mini-batch
RetrySettingTimeout	Invocation timeout for a mini-batch, in ISO 8601 format.

Methods

DeserializeFromDictionary(IDictionary)	Deserializes a IDictionary into an instance of BatchDeploymentProperties.
DeserializeFromPSObject(PSObject)	Deserializes a PSObject into an instance of BatchDeploymentProperties.
FromJson(JsonNode)	Deserializes a JsonNode into an instance of Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.IBatchDeploymentProperties.
FromJsonString(String)	Creates a new instance of BatchDeploymentProperties, deserializing the content from a json string.
ToJson(JsonObject, SerializationMode)	Serializes this instance of BatchDeploymentProperties into a JsonNode.
ToJsonString()	Serializes this instance to a json string.
ToString()
Validate(IEventListener)	Validates that this object meets the validation criteria.

Applies to

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