共用方式為


MachineLearningBatchDeploymentProperties Class

Definition

Batch inference settings per deployment.

public class MachineLearningBatchDeploymentProperties : Azure.ResourceManager.MachineLearning.Models.MachineLearningEndpointDeploymentProperties, System.ClientModel.Primitives.IJsonModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningBatchDeploymentProperties>, System.ClientModel.Primitives.IPersistableModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningBatchDeploymentProperties>
public class MachineLearningBatchDeploymentProperties : Azure.ResourceManager.MachineLearning.Models.MachineLearningEndpointDeploymentProperties
type MachineLearningBatchDeploymentProperties = class
    inherit MachineLearningEndpointDeploymentProperties
    interface IJsonModel<MachineLearningBatchDeploymentProperties>
    interface IPersistableModel<MachineLearningBatchDeploymentProperties>
type MachineLearningBatchDeploymentProperties = class
    inherit MachineLearningEndpointDeploymentProperties
Public Class MachineLearningBatchDeploymentProperties
Inherits MachineLearningEndpointDeploymentProperties
Implements IJsonModel(Of MachineLearningBatchDeploymentProperties), IPersistableModel(Of MachineLearningBatchDeploymentProperties)
Public Class MachineLearningBatchDeploymentProperties
Inherits MachineLearningEndpointDeploymentProperties
Inheritance
MachineLearningBatchDeploymentProperties
Implements

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.

DeploymentConfiguration

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.

Description

Description of the endpoint deployment.

(Inherited from MachineLearningEndpointDeploymentProperties)
EnvironmentId

ARM resource ID or AssetId 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, MachineLearningIdAssetReference and MachineLearningOutputPathAssetReference.

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.

Explicit Interface Implementations

IJsonModel<MachineLearningBatchDeploymentProperties>.Create(Utf8JsonReader, ModelReaderWriterOptions)

Reads one JSON value (including objects or arrays) from the provided reader and converts it to a model.

IJsonModel<MachineLearningBatchDeploymentProperties>.Write(Utf8JsonWriter, ModelReaderWriterOptions)

Writes the model to the provided Utf8JsonWriter.

IJsonModel<MachineLearningEndpointDeploymentProperties>.Create(Utf8JsonReader, ModelReaderWriterOptions)

Reads one JSON value (including objects or arrays) from the provided reader and converts it to a model.

(Inherited from MachineLearningEndpointDeploymentProperties)
IJsonModel<MachineLearningEndpointDeploymentProperties>.Write(Utf8JsonWriter, ModelReaderWriterOptions)

Writes the model to the provided Utf8JsonWriter.

(Inherited from MachineLearningEndpointDeploymentProperties)
IPersistableModel<MachineLearningBatchDeploymentProperties>.Create(BinaryData, ModelReaderWriterOptions)

Converts the provided BinaryData into a model.

IPersistableModel<MachineLearningBatchDeploymentProperties>.GetFormatFromOptions(ModelReaderWriterOptions)

Gets the data interchange format (JSON, Xml, etc) that the model uses when communicating with the service.

IPersistableModel<MachineLearningBatchDeploymentProperties>.Write(ModelReaderWriterOptions)

Writes the model into a BinaryData.

IPersistableModel<MachineLearningEndpointDeploymentProperties>.Create(BinaryData, ModelReaderWriterOptions)

Converts the provided BinaryData into a model.

(Inherited from MachineLearningEndpointDeploymentProperties)
IPersistableModel<MachineLearningEndpointDeploymentProperties>.GetFormatFromOptions(ModelReaderWriterOptions)

Gets the data interchange format (JSON, Xml, etc) that the model uses when communicating with the service.

(Inherited from MachineLearningEndpointDeploymentProperties)
IPersistableModel<MachineLearningEndpointDeploymentProperties>.Write(ModelReaderWriterOptions)

Writes the model into a BinaryData.

(Inherited from MachineLearningEndpointDeploymentProperties)

Applies to