MachineLearningBatchDeploymentProperties Class
Definition
Important
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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.MachineLearningEndpointDeploymentPropertiestype MachineLearningBatchDeploymentProperties = class
inherit MachineLearningEndpointDeploymentProperties
interface IJsonModel<MachineLearningBatchDeploymentProperties>
interface IPersistableModel<MachineLearningBatchDeploymentProperties>type MachineLearningBatchDeploymentProperties = class
inherit MachineLearningEndpointDeploymentPropertiesPublic Class MachineLearningBatchDeploymentProperties
Inherits MachineLearningEndpointDeploymentProperties
Implements IJsonModel(Of MachineLearningBatchDeploymentProperties), IPersistableModel(Of MachineLearningBatchDeploymentProperties)Public Class MachineLearningBatchDeploymentProperties
Inherits MachineLearningEndpointDeploymentProperties- Inheritance
- Implements
Constructors
| Name | Description |
|---|---|
| MachineLearningBatchDeploymentProperties() |
Initializes a new instance of MachineLearningBatchDeploymentProperties. |
Properties
| Name | Description |
|---|---|
| CodeConfiguration |
Code configuration for the endpoint deployment. (Inherited from MachineLearningEndpointDeploymentProperties) |
| Compute |
Compute target for batch inference operation. |
| DeploymentConfiguration |
Properties relevant to different deployment types. |
| 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 |
Log verbosity for batch inferencing. Increasing verbosity order for logging is : Warning, Info and Debug. The default value is Info. |
| 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 |
Enum to determine how batch inferencing will handle output. |
| 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. |
