Azure Native v2.8.0, Sep 18 23

This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.

Azure Native v2.8.0 published on Monday, Sep 18, 2023 by Pulumi

pulumi/pulumi-azure-native

azure-native.machinelearningservices.BatchDeployment

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This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.

Azure Native v2.8.0 published on Monday, Sep 18, 2023 by Pulumi

pulumi/pulumi-azure-native

Import

An existing resource can be imported using its type token, name, and identifier, e.g.

$ pulumi import azure-native:machinelearningservices:BatchDeployment string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/batchEndpoints/{endpointName}/deployments/{deploymentName}

Create BatchDeployment Resource

new BatchDeployment(name: string, args: BatchDeploymentArgs, opts?: CustomResourceOptions);

@overload
def BatchDeployment(resource_name: str,
                    opts: Optional[ResourceOptions] = None,
                    batch_deployment_properties: Optional[BatchDeploymentArgs] = None,
                    deployment_name: Optional[str] = None,
                    endpoint_name: Optional[str] = None,
                    identity: Optional[ManagedServiceIdentityArgs] = None,
                    kind: Optional[str] = None,
                    location: Optional[str] = None,
                    resource_group_name: Optional[str] = None,
                    sku: Optional[SkuArgs] = None,
                    tags: Optional[Mapping[str, str]] = None,
                    workspace_name: Optional[str] = None)
@overload
def BatchDeployment(resource_name: str,
                    args: BatchDeploymentInitArgs,
                    opts: Optional[ResourceOptions] = None)

func NewBatchDeployment(ctx *Context, name string, args BatchDeploymentArgs, opts ...ResourceOption) (*BatchDeployment, error)

public BatchDeployment(string name, BatchDeploymentArgs args, CustomResourceOptions? opts = null)

public BatchDeployment(String name, BatchDeploymentArgs args)
public BatchDeployment(String name, BatchDeploymentArgs args, CustomResourceOptions options)

type: azure-native:machinelearningservices:BatchDeployment
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

name string: The unique name of the resource.
args BatchDeploymentArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
args BatchDeploymentInitArgs: The arguments to resource properties.
opts ResourceOptions: Bag of options to control resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args BatchDeploymentArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args BatchDeploymentArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args BatchDeploymentArgs: The arguments to resource properties.
options CustomResourceOptions: Bag of options to control resource's behavior.

BatchDeployment Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

The BatchDeployment resource accepts the following input properties:

BatchDeploymentProperties Pulumi.AzureNative.MachineLearningServices.Inputs.BatchDeployment: [Required] Additional attributes of the entity.
EndpointName string: Inference endpoint name
ResourceGroupName string: The name of the resource group. The name is case insensitive.
WorkspaceName string: Name of Azure Machine Learning workspace.
DeploymentName string: The identifier for the Batch inference deployment.
Identity Pulumi.AzureNative.MachineLearningServices.Inputs.ManagedServiceIdentity: Managed service identity (system assigned and/or user assigned identities)
Kind string: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
Location string: The geo-location where the resource lives
Sku Pulumi.AzureNative.MachineLearningServices.Inputs.Sku: Sku details required for ARM contract for Autoscaling.
Tags Dictionary<string, string>: Resource tags.

BatchDeploymentProperties BatchDeploymentTypeArgs: [Required] Additional attributes of the entity.
EndpointName string: Inference endpoint name
ResourceGroupName string: The name of the resource group. The name is case insensitive.
WorkspaceName string: Name of Azure Machine Learning workspace.
DeploymentName string: The identifier for the Batch inference deployment.
Identity ManagedServiceIdentityArgs: Managed service identity (system assigned and/or user assigned identities)
Kind string: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
Location string: The geo-location where the resource lives
Sku SkuArgs: Sku details required for ARM contract for Autoscaling.
Tags map[string]string: Resource tags.

batchDeploymentProperties BatchDeployment: [Required] Additional attributes of the entity.
endpointName String: Inference endpoint name
resourceGroupName String: The name of the resource group. The name is case insensitive.
workspaceName String: Name of Azure Machine Learning workspace.
deploymentName String: The identifier for the Batch inference deployment.
identity ManagedServiceIdentity: Managed service identity (system assigned and/or user assigned identities)
kind String: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
location String: The geo-location where the resource lives
sku Sku: Sku details required for ARM contract for Autoscaling.
tags Map<String,String>: Resource tags.

batchDeploymentProperties BatchDeployment: [Required] Additional attributes of the entity.
endpointName string: Inference endpoint name
resourceGroupName string: The name of the resource group. The name is case insensitive.
workspaceName string: Name of Azure Machine Learning workspace.
deploymentName string: The identifier for the Batch inference deployment.
identity ManagedServiceIdentity: Managed service identity (system assigned and/or user assigned identities)
kind string: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
location string: The geo-location where the resource lives
sku Sku: Sku details required for ARM contract for Autoscaling.
tags {[key: string]: string}: Resource tags.

batch_deployment_properties BatchDeploymentArgs: [Required] Additional attributes of the entity.
endpoint_name str: Inference endpoint name
resource_group_name str: The name of the resource group. The name is case insensitive.
workspace_name str: Name of Azure Machine Learning workspace.
deployment_name str: The identifier for the Batch inference deployment.
identity ManagedServiceIdentityArgs: Managed service identity (system assigned and/or user assigned identities)
kind str: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
location str: The geo-location where the resource lives
sku SkuArgs: Sku details required for ARM contract for Autoscaling.
tags Mapping[str, str]: Resource tags.

batchDeploymentProperties Property Map: [Required] Additional attributes of the entity.
endpointName String: Inference endpoint name
resourceGroupName String: The name of the resource group. The name is case insensitive.
workspaceName String: Name of Azure Machine Learning workspace.
deploymentName String: The identifier for the Batch inference deployment.
identity Property Map: Managed service identity (system assigned and/or user assigned identities)
kind String: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
location String: The geo-location where the resource lives
sku Property Map: Sku details required for ARM contract for Autoscaling.
tags Map<String>: Resource tags.

Outputs

All input properties are implicitly available as output properties. Additionally, the BatchDeployment resource produces the following output properties:

Id string: The provider-assigned unique ID for this managed resource.
Name string: The name of the resource
SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse: Azure Resource Manager metadata containing createdBy and modifiedBy information.
Type string: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

Id string: The provider-assigned unique ID for this managed resource.
Name string: The name of the resource
SystemData SystemDataResponse: Azure Resource Manager metadata containing createdBy and modifiedBy information.
Type string: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

id String: The provider-assigned unique ID for this managed resource.
name String: The name of the resource
systemData SystemDataResponse: Azure Resource Manager metadata containing createdBy and modifiedBy information.
type String: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

id string: The provider-assigned unique ID for this managed resource.
name string: The name of the resource
systemData SystemDataResponse: Azure Resource Manager metadata containing createdBy and modifiedBy information.
type string: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

id str: The provider-assigned unique ID for this managed resource.
name str: The name of the resource
system_data SystemDataResponse: Azure Resource Manager metadata containing createdBy and modifiedBy information.
type str: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

id String: The provider-assigned unique ID for this managed resource.
name String: The name of the resource
systemData Property Map: Azure Resource Manager metadata containing createdBy and modifiedBy information.
type String: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

Supporting Types

BatchDeployment, BatchDeploymentArgs

CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfiguration: Code configuration for the endpoint deployment.
Compute string: Compute target for batch inference operation.
Description string: Description of the endpoint deployment.
EnvironmentId string: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
EnvironmentVariables Dictionary<string, string>: Environment variables configuration for the deployment.
ErrorThreshold int: 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 string | Pulumi.AzureNative.MachineLearningServices.BatchLoggingLevel: Logging level for batch inference operation.
MaxConcurrencyPerInstance int: Indicates maximum number of parallelism per instance.
MiniBatchSize double: 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 Pulumi.AzureNative.MachineLearningServices.Inputs.DataPathAssetReference | Pulumi.AzureNative.MachineLearningServices.Inputs.IdAssetReference | Pulumi.AzureNative.MachineLearningServices.Inputs.OutputPathAssetReference: Reference to the model asset for the endpoint deployment.
OutputAction string | Pulumi.AzureNative.MachineLearningServices.BatchOutputAction: Indicates how the output will be organized.
OutputFileName string: Customized output file name for append_row output action.
Properties Dictionary<string, string>: Property dictionary. Properties can be added, but not removed or altered.
Resources Pulumi.AzureNative.MachineLearningServices.Inputs.DeploymentResourceConfiguration: Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
RetrySettings Pulumi.AzureNative.MachineLearningServices.Inputs.BatchRetrySettings: Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.

CodeConfiguration CodeConfiguration: Code configuration for the endpoint deployment.
Compute string: Compute target for batch inference operation.
Description string: Description of the endpoint deployment.
EnvironmentId string: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
EnvironmentVariables map[string]string: Environment variables configuration for the deployment.
ErrorThreshold int: 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 string | BatchLoggingLevel: Logging level for batch inference operation.
MaxConcurrencyPerInstance int: Indicates maximum number of parallelism per instance.
MiniBatchSize float64: 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 DataPathAssetReference | IdAssetReference | OutputPathAssetReference: Reference to the model asset for the endpoint deployment.
OutputAction string | BatchOutputAction: Indicates how the output will be organized.
OutputFileName string: Customized output file name for append_row output action.
Properties map[string]string: Property dictionary. Properties can be added, but not removed or altered.
Resources DeploymentResourceConfiguration: Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
RetrySettings BatchRetrySettings: Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.

codeConfiguration CodeConfiguration: Code configuration for the endpoint deployment.
compute String: Compute target for batch inference operation.
description String: Description of the endpoint deployment.
environmentId String: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
environmentVariables Map<String,String>: Environment variables configuration for the deployment.
errorThreshold Integer: 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 String | BatchLoggingLevel: Logging level for batch inference operation.
maxConcurrencyPerInstance Integer: Indicates maximum number of parallelism per instance.
miniBatchSize Double: 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 DataPathAssetReference | IdAssetReference | OutputPathAssetReference: Reference to the model asset for the endpoint deployment.
outputAction String | BatchOutputAction: Indicates how the output will be organized.
outputFileName String: Customized output file name for append_row output action.
properties Map<String,String>: Property dictionary. Properties can be added, but not removed or altered.
resources DeploymentResourceConfiguration: Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
retrySettings BatchRetrySettings: Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.

codeConfiguration CodeConfiguration: Code configuration for the endpoint deployment.
compute string: Compute target for batch inference operation.
description string: Description of the endpoint deployment.
environmentId string: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
environmentVariables {[key: string]: string}: Environment variables configuration for the deployment.
errorThreshold number: 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 string | BatchLoggingLevel: Logging level for batch inference operation.
maxConcurrencyPerInstance number: Indicates maximum number of parallelism per instance.
miniBatchSize number: 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 DataPathAssetReference | IdAssetReference | OutputPathAssetReference: Reference to the model asset for the endpoint deployment.
outputAction string | BatchOutputAction: Indicates how the output will be organized.
outputFileName string: Customized output file name for append_row output action.
properties {[key: string]: string}: Property dictionary. Properties can be added, but not removed or altered.
resources DeploymentResourceConfiguration: Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
retrySettings BatchRetrySettings: Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.

code_configuration CodeConfiguration: Code configuration for the endpoint deployment.
compute str: Compute target for batch inference operation.
description str: Description of the endpoint deployment.
environment_id str: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
environment_variables Mapping[str, str]: Environment variables configuration for the deployment.
error_threshold int: 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.
logging_level str | BatchLoggingLevel: Logging level for batch inference operation.
max_concurrency_per_instance int: Indicates maximum number of parallelism per instance.
mini_batch_size float: 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 DataPathAssetReference | IdAssetReference | OutputPathAssetReference: Reference to the model asset for the endpoint deployment.
output_action str | BatchOutputAction: Indicates how the output will be organized.
output_file_name str: Customized output file name for append_row output action.
properties Mapping[str, str]: Property dictionary. Properties can be added, but not removed or altered.
resources DeploymentResourceConfiguration: Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
retry_settings BatchRetrySettings: Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.

codeConfiguration Property Map: Code configuration for the endpoint deployment.
compute String: Compute target for batch inference operation.
description String: Description of the endpoint deployment.
environmentId String: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
environmentVariables Map<String>: Environment variables configuration for the deployment.
errorThreshold Number: 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 String | "Info" | "Warning" | "Debug": Logging level for batch inference operation.
maxConcurrencyPerInstance Number: Indicates maximum number of parallelism per instance.
miniBatchSize Number: 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 Property Map | Property Map | Property Map: Reference to the model asset for the endpoint deployment.
outputAction String | "SummaryOnly" | "AppendRow": Indicates how the output will be organized.
outputFileName String: Customized output file name for append_row output action.
properties Map<String>: Property dictionary. Properties can be added, but not removed or altered.
resources Property Map: Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
retrySettings Property Map: Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.

BatchDeploymentResponse, BatchDeploymentResponseArgs

ProvisioningState string: Provisioning state for the endpoint deployment.
CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfigurationResponse: Code configuration for the endpoint deployment.
Compute string: Compute target for batch inference operation.
Description string: Description of the endpoint deployment.
EnvironmentId string: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
EnvironmentVariables Dictionary<string, string>: Environment variables configuration for the deployment.
ErrorThreshold int: 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 string: Logging level for batch inference operation.
MaxConcurrencyPerInstance int: Indicates maximum number of parallelism per instance.
MiniBatchSize double: 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 Pulumi.AzureNative.MachineLearningServices.Inputs.DataPathAssetReferenceResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.IdAssetReferenceResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
OutputAction string: Indicates how the output will be organized.
OutputFileName string: Customized output file name for append_row output action.
Properties Dictionary<string, string>: Property dictionary. Properties can be added, but not removed or altered.
Resources Pulumi.AzureNative.MachineLearningServices.Inputs.DeploymentResourceConfigurationResponse: Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
RetrySettings Pulumi.AzureNative.MachineLearningServices.Inputs.BatchRetrySettingsResponse: Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.

ProvisioningState string: Provisioning state for the endpoint deployment.
CodeConfiguration CodeConfigurationResponse: Code configuration for the endpoint deployment.
Compute string: Compute target for batch inference operation.
Description string: Description of the endpoint deployment.
EnvironmentId string: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
EnvironmentVariables map[string]string: Environment variables configuration for the deployment.
ErrorThreshold int: 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 string: Logging level for batch inference operation.
MaxConcurrencyPerInstance int: Indicates maximum number of parallelism per instance.
MiniBatchSize float64: 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 DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
OutputAction string: Indicates how the output will be organized.
OutputFileName string: Customized output file name for append_row output action.
Properties map[string]string: Property dictionary. Properties can be added, but not removed or altered.
Resources DeploymentResourceConfigurationResponse: Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
RetrySettings BatchRetrySettingsResponse: Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.

provisioningState String: Provisioning state for the endpoint deployment.
codeConfiguration CodeConfigurationResponse: Code configuration for the endpoint deployment.
compute String: Compute target for batch inference operation.
description String: Description of the endpoint deployment.
environmentId String: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
environmentVariables Map<String,String>: Environment variables configuration for the deployment.
errorThreshold Integer: 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 String: Logging level for batch inference operation.
maxConcurrencyPerInstance Integer: Indicates maximum number of parallelism per instance.
miniBatchSize Double: 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 DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
outputAction String: Indicates how the output will be organized.
outputFileName String: Customized output file name for append_row output action.
properties Map<String,String>: Property dictionary. Properties can be added, but not removed or altered.
resources DeploymentResourceConfigurationResponse: Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
retrySettings BatchRetrySettingsResponse: Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.

provisioningState string: Provisioning state for the endpoint deployment.
codeConfiguration CodeConfigurationResponse: Code configuration for the endpoint deployment.
compute string: Compute target for batch inference operation.
description string: Description of the endpoint deployment.
environmentId string: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
environmentVariables {[key: string]: string}: Environment variables configuration for the deployment.
errorThreshold number: 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 string: Logging level for batch inference operation.
maxConcurrencyPerInstance number: Indicates maximum number of parallelism per instance.
miniBatchSize number: 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 DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
outputAction string: Indicates how the output will be organized.
outputFileName string: Customized output file name for append_row output action.
properties {[key: string]: string}: Property dictionary. Properties can be added, but not removed or altered.
resources DeploymentResourceConfigurationResponse: Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
retrySettings BatchRetrySettingsResponse: Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.

provisioning_state str: Provisioning state for the endpoint deployment.
code_configuration CodeConfigurationResponse: Code configuration for the endpoint deployment.
compute str: Compute target for batch inference operation.
description str: Description of the endpoint deployment.
environment_id str: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
environment_variables Mapping[str, str]: Environment variables configuration for the deployment.
error_threshold int: 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.
logging_level str: Logging level for batch inference operation.
max_concurrency_per_instance int: Indicates maximum number of parallelism per instance.
mini_batch_size float: 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 DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
output_action str: Indicates how the output will be organized.
output_file_name str: Customized output file name for append_row output action.
properties Mapping[str, str]: Property dictionary. Properties can be added, but not removed or altered.
resources DeploymentResourceConfigurationResponse: Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
retry_settings BatchRetrySettingsResponse: Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.

provisioningState String: Provisioning state for the endpoint deployment.
codeConfiguration Property Map: Code configuration for the endpoint deployment.
compute String: Compute target for batch inference operation.
description String: Description of the endpoint deployment.
environmentId String: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
environmentVariables Map<String>: Environment variables configuration for the deployment.
errorThreshold Number: 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 String: Logging level for batch inference operation.
maxConcurrencyPerInstance Number: Indicates maximum number of parallelism per instance.
miniBatchSize Number: 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 Property Map | Property Map | Property Map: Reference to the model asset for the endpoint deployment.
outputAction String: Indicates how the output will be organized.
outputFileName String: Customized output file name for append_row output action.
properties Map<String>: Property dictionary. Properties can be added, but not removed or altered.
resources Property Map: Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
retrySettings Property Map: Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.

BatchLoggingLevel, BatchLoggingLevelArgs

Info: Info
Warning: Warning
Debug: Debug

BatchLoggingLevelInfo: Info
BatchLoggingLevelWarning: Warning
BatchLoggingLevelDebug: Debug

Info: Info
Warning: Warning
Debug: Debug

Info: Info
Warning: Warning
Debug: Debug

INFO: Info
WARNING: Warning
DEBUG: Debug

"Info": Info
"Warning": Warning
"Debug": Debug

BatchOutputAction, BatchOutputActionArgs

SummaryOnly: SummaryOnly
AppendRow: AppendRow

BatchOutputActionSummaryOnly: SummaryOnly
BatchOutputActionAppendRow: AppendRow

SummaryOnly: SummaryOnly
AppendRow: AppendRow

SummaryOnly: SummaryOnly
AppendRow: AppendRow

SUMMARY_ONLY: SummaryOnly
APPEND_ROW: AppendRow

"SummaryOnly": SummaryOnly
"AppendRow": AppendRow

BatchRetrySettings, BatchRetrySettingsArgs

MaxRetries int: Maximum retry count for a mini-batch
Timeout string: Invocation timeout for a mini-batch, in ISO 8601 format.

MaxRetries int: Maximum retry count for a mini-batch
Timeout string: Invocation timeout for a mini-batch, in ISO 8601 format.

maxRetries Integer: Maximum retry count for a mini-batch
timeout String: Invocation timeout for a mini-batch, in ISO 8601 format.

maxRetries number: Maximum retry count for a mini-batch
timeout string: Invocation timeout for a mini-batch, in ISO 8601 format.

max_retries int: Maximum retry count for a mini-batch
timeout str: Invocation timeout for a mini-batch, in ISO 8601 format.

maxRetries Number: Maximum retry count for a mini-batch
timeout String: Invocation timeout for a mini-batch, in ISO 8601 format.

BatchRetrySettingsResponse, BatchRetrySettingsResponseArgs

MaxRetries int: Maximum retry count for a mini-batch
Timeout string: Invocation timeout for a mini-batch, in ISO 8601 format.

MaxRetries int: Maximum retry count for a mini-batch
Timeout string: Invocation timeout for a mini-batch, in ISO 8601 format.

maxRetries Integer: Maximum retry count for a mini-batch
timeout String: Invocation timeout for a mini-batch, in ISO 8601 format.

maxRetries number: Maximum retry count for a mini-batch
timeout string: Invocation timeout for a mini-batch, in ISO 8601 format.

max_retries int: Maximum retry count for a mini-batch
timeout str: Invocation timeout for a mini-batch, in ISO 8601 format.

maxRetries Number: Maximum retry count for a mini-batch
timeout String: Invocation timeout for a mini-batch, in ISO 8601 format.

CodeConfiguration, CodeConfigurationArgs

ScoringScript string: [Required] The script to execute on startup. eg. "score.py"
CodeId string: ARM resource ID of the code asset.

ScoringScript string: [Required] The script to execute on startup. eg. "score.py"
CodeId string: ARM resource ID of the code asset.

scoringScript String: [Required] The script to execute on startup. eg. "score.py"
codeId String: ARM resource ID of the code asset.

scoringScript string: [Required] The script to execute on startup. eg. "score.py"
codeId string: ARM resource ID of the code asset.

scoring_script str: [Required] The script to execute on startup. eg. "score.py"
code_id str: ARM resource ID of the code asset.

scoringScript String: [Required] The script to execute on startup. eg. "score.py"
codeId String: ARM resource ID of the code asset.

CodeConfigurationResponse, CodeConfigurationResponseArgs

ScoringScript string: [Required] The script to execute on startup. eg. "score.py"
CodeId string: ARM resource ID of the code asset.

ScoringScript string: [Required] The script to execute on startup. eg. "score.py"
CodeId string: ARM resource ID of the code asset.

scoringScript String: [Required] The script to execute on startup. eg. "score.py"
codeId String: ARM resource ID of the code asset.

scoringScript string: [Required] The script to execute on startup. eg. "score.py"
codeId string: ARM resource ID of the code asset.

scoring_script str: [Required] The script to execute on startup. eg. "score.py"
code_id str: ARM resource ID of the code asset.

scoringScript String: [Required] The script to execute on startup. eg. "score.py"
codeId String: ARM resource ID of the code asset.

DataPathAssetReference, DataPathAssetReferenceArgs

DatastoreId string: ARM resource ID of the datastore where the asset is located.
Path string: The path of the file/directory in the datastore.

DatastoreId string: ARM resource ID of the datastore where the asset is located.
Path string: The path of the file/directory in the datastore.

datastoreId String: ARM resource ID of the datastore where the asset is located.
path String: The path of the file/directory in the datastore.

datastoreId string: ARM resource ID of the datastore where the asset is located.
path string: The path of the file/directory in the datastore.

datastore_id str: ARM resource ID of the datastore where the asset is located.
path str: The path of the file/directory in the datastore.

datastoreId String: ARM resource ID of the datastore where the asset is located.
path String: The path of the file/directory in the datastore.

DataPathAssetReferenceResponse, DataPathAssetReferenceResponseArgs

DatastoreId string: ARM resource ID of the datastore where the asset is located.
Path string: The path of the file/directory in the datastore.

DatastoreId string: ARM resource ID of the datastore where the asset is located.
Path string: The path of the file/directory in the datastore.

datastoreId String: ARM resource ID of the datastore where the asset is located.
path String: The path of the file/directory in the datastore.

datastoreId string: ARM resource ID of the datastore where the asset is located.
path string: The path of the file/directory in the datastore.

datastore_id str: ARM resource ID of the datastore where the asset is located.
path str: The path of the file/directory in the datastore.

datastoreId String: ARM resource ID of the datastore where the asset is located.
path String: The path of the file/directory in the datastore.

DeploymentResourceConfiguration, DeploymentResourceConfigurationArgs

InstanceCount int: Optional number of instances or nodes used by the compute target.
InstanceType string: Optional type of VM used as supported by the compute target.
Properties Dictionary<string, object>: Additional properties bag.

InstanceCount int: Optional number of instances or nodes used by the compute target.
InstanceType string: Optional type of VM used as supported by the compute target.
Properties map[string]interface{}: Additional properties bag.

instanceCount Integer: Optional number of instances or nodes used by the compute target.
instanceType String: Optional type of VM used as supported by the compute target.
properties Map<String,Object>: Additional properties bag.

instanceCount number: Optional number of instances or nodes used by the compute target.
instanceType string: Optional type of VM used as supported by the compute target.
properties {[key: string]: any}: Additional properties bag.

instance_count int: Optional number of instances or nodes used by the compute target.
instance_type str: Optional type of VM used as supported by the compute target.
properties Mapping[str, Any]: Additional properties bag.

instanceCount Number: Optional number of instances or nodes used by the compute target.
instanceType String: Optional type of VM used as supported by the compute target.
properties Map<Any>: Additional properties bag.

DeploymentResourceConfigurationResponse, DeploymentResourceConfigurationResponseArgs

InstanceCount int: Optional number of instances or nodes used by the compute target.
InstanceType string: Optional type of VM used as supported by the compute target.
Properties Dictionary<string, object>: Additional properties bag.

InstanceCount int: Optional number of instances or nodes used by the compute target.
InstanceType string: Optional type of VM used as supported by the compute target.
Properties map[string]interface{}: Additional properties bag.

instanceCount Integer: Optional number of instances or nodes used by the compute target.
instanceType String: Optional type of VM used as supported by the compute target.
properties Map<String,Object>: Additional properties bag.

instanceCount number: Optional number of instances or nodes used by the compute target.
instanceType string: Optional type of VM used as supported by the compute target.
properties {[key: string]: any}: Additional properties bag.

instance_count int: Optional number of instances or nodes used by the compute target.
instance_type str: Optional type of VM used as supported by the compute target.
properties Mapping[str, Any]: Additional properties bag.

instanceCount Number: Optional number of instances or nodes used by the compute target.
instanceType String: Optional type of VM used as supported by the compute target.
properties Map<Any>: Additional properties bag.

IdAssetReference, IdAssetReferenceArgs

AssetId string: [Required] ARM resource ID of the asset.

AssetId string: [Required] ARM resource ID of the asset.

assetId String: [Required] ARM resource ID of the asset.

assetId string: [Required] ARM resource ID of the asset.

asset_id str: [Required] ARM resource ID of the asset.

assetId String: [Required] ARM resource ID of the asset.

IdAssetReferenceResponse, IdAssetReferenceResponseArgs

AssetId string: [Required] ARM resource ID of the asset.

AssetId string: [Required] ARM resource ID of the asset.

assetId String: [Required] ARM resource ID of the asset.

assetId string: [Required] ARM resource ID of the asset.

asset_id str: [Required] ARM resource ID of the asset.

assetId String: [Required] ARM resource ID of the asset.

ManagedServiceIdentity, ManagedServiceIdentityArgs

Type string | Pulumi.AzureNative.MachineLearningServices.ManagedServiceIdentityType: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
UserAssignedIdentities List<string>: The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

Type string | ManagedServiceIdentityType: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
UserAssignedIdentities []string: The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

type String | ManagedServiceIdentityType: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
userAssignedIdentities List<String>: The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

type string | ManagedServiceIdentityType: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
userAssignedIdentities string[]: The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

type str | ManagedServiceIdentityType: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
user_assigned_identities Sequence[str]: The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

type String | "None" | "SystemAssigned" | "UserAssigned" | "SystemAssigned,UserAssigned": Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
userAssignedIdentities List<String>: The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

ManagedServiceIdentityResponse, ManagedServiceIdentityResponseArgs

PrincipalId string: The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
TenantId string: The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
Type string: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
UserAssignedIdentities Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityResponse>: The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

PrincipalId string: The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
TenantId string: The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
Type string: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
UserAssignedIdentities map[string]UserAssignedIdentityResponse: The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

principalId String: The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
tenantId String: The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
type String: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
userAssignedIdentities Map<String,UserAssignedIdentityResponse>: The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

principalId string: The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
tenantId string: The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
type string: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
userAssignedIdentities {[key: string]: UserAssignedIdentityResponse}: The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

principal_id str: The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
tenant_id str: The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
type str: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
user_assigned_identities Mapping[str, UserAssignedIdentityResponse]: The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

principalId String: The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
tenantId String: The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
type String: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
userAssignedIdentities Map<Property Map>: The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

ManagedServiceIdentityType, ManagedServiceIdentityTypeArgs

None: None
SystemAssigned: SystemAssigned
UserAssigned: UserAssigned
SystemAssigned_UserAssigned: SystemAssigned,UserAssigned

ManagedServiceIdentityTypeNone: None
ManagedServiceIdentityTypeSystemAssigned: SystemAssigned
ManagedServiceIdentityTypeUserAssigned: UserAssigned
ManagedServiceIdentityType_SystemAssigned_UserAssigned: SystemAssigned,UserAssigned

None: None
SystemAssigned: SystemAssigned
UserAssigned: UserAssigned
SystemAssigned_UserAssigned: SystemAssigned,UserAssigned

None: None
SystemAssigned: SystemAssigned
UserAssigned: UserAssigned
SystemAssigned_UserAssigned: SystemAssigned,UserAssigned

NONE: None
SYSTEM_ASSIGNED: SystemAssigned
USER_ASSIGNED: UserAssigned
SYSTEM_ASSIGNED_USER_ASSIGNED: SystemAssigned,UserAssigned

"None": None
"SystemAssigned": SystemAssigned
"UserAssigned": UserAssigned
"SystemAssigned,UserAssigned": SystemAssigned,UserAssigned

OutputPathAssetReference, OutputPathAssetReferenceArgs

JobId string: ARM resource ID of the job.
Path string: The path of the file/directory in the job output.

JobId string: ARM resource ID of the job.
Path string: The path of the file/directory in the job output.

jobId String: ARM resource ID of the job.
path String: The path of the file/directory in the job output.

jobId string: ARM resource ID of the job.
path string: The path of the file/directory in the job output.

job_id str: ARM resource ID of the job.
path str: The path of the file/directory in the job output.

jobId String: ARM resource ID of the job.
path String: The path of the file/directory in the job output.

OutputPathAssetReferenceResponse, OutputPathAssetReferenceResponseArgs

JobId string: ARM resource ID of the job.
Path string: The path of the file/directory in the job output.

JobId string: ARM resource ID of the job.
Path string: The path of the file/directory in the job output.

jobId String: ARM resource ID of the job.
path String: The path of the file/directory in the job output.

jobId string: ARM resource ID of the job.
path string: The path of the file/directory in the job output.

job_id str: ARM resource ID of the job.
path str: The path of the file/directory in the job output.

jobId String: ARM resource ID of the job.
path String: The path of the file/directory in the job output.

Sku, SkuArgs

Name string: The name of the SKU. Ex - P3. It is typically a letter+number code
Capacity int: If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
Family string: If the service has different generations of hardware, for the same SKU, then that can be captured here.
Size string: The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
Tier Pulumi.AzureNative.MachineLearningServices.SkuTier: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

Name string: The name of the SKU. Ex - P3. It is typically a letter+number code
Capacity int: If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
Family string: If the service has different generations of hardware, for the same SKU, then that can be captured here.
Size string: The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
Tier SkuTier: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

name String: The name of the SKU. Ex - P3. It is typically a letter+number code
capacity Integer: If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
family String: If the service has different generations of hardware, for the same SKU, then that can be captured here.
size String: The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
tier SkuTier: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

name string: The name of the SKU. Ex - P3. It is typically a letter+number code
capacity number: If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
family string: If the service has different generations of hardware, for the same SKU, then that can be captured here.
size string: The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
tier SkuTier: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

name str: The name of the SKU. Ex - P3. It is typically a letter+number code
capacity int: If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
family str: If the service has different generations of hardware, for the same SKU, then that can be captured here.
size str: The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
tier SkuTier: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

name String: The name of the SKU. Ex - P3. It is typically a letter+number code
capacity Number: If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
family String: If the service has different generations of hardware, for the same SKU, then that can be captured here.
size String: The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
tier "Free" | "Basic" | "Standard" | "Premium": This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

SkuResponse, SkuResponseArgs

Name string: The name of the SKU. Ex - P3. It is typically a letter+number code
Capacity int: If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
Family string: If the service has different generations of hardware, for the same SKU, then that can be captured here.
Size string: The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
Tier string: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

Name string: The name of the SKU. Ex - P3. It is typically a letter+number code
Capacity int: If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
Family string: If the service has different generations of hardware, for the same SKU, then that can be captured here.
Size string: The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
Tier string: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

name String: The name of the SKU. Ex - P3. It is typically a letter+number code
capacity Integer: If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
family String: If the service has different generations of hardware, for the same SKU, then that can be captured here.
size String: The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
tier String: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

name string: The name of the SKU. Ex - P3. It is typically a letter+number code
capacity number: If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
family string: If the service has different generations of hardware, for the same SKU, then that can be captured here.
size string: The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
tier string: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

name str: The name of the SKU. Ex - P3. It is typically a letter+number code
capacity int: If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
family str: If the service has different generations of hardware, for the same SKU, then that can be captured here.
size str: The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
tier str: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

name String: The name of the SKU. Ex - P3. It is typically a letter+number code
capacity Number: If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
family String: If the service has different generations of hardware, for the same SKU, then that can be captured here.
size String: The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
tier String: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

SkuTier, SkuTierArgs

Free: Free
Basic: Basic
Standard: Standard
Premium: Premium

SkuTierFree: Free
SkuTierBasic: Basic
SkuTierStandard: Standard
SkuTierPremium: Premium

Free: Free
Basic: Basic
Standard: Standard
Premium: Premium

Free: Free
Basic: Basic
Standard: Standard
Premium: Premium

FREE: Free
BASIC: Basic
STANDARD: Standard
PREMIUM: Premium

"Free": Free
"Basic": Basic
"Standard": Standard
"Premium": Premium

SystemDataResponse, SystemDataResponseArgs

CreatedAt string: The timestamp of resource creation (UTC).
CreatedBy string: The identity that created the resource.
CreatedByType string: The type of identity that created the resource.
LastModifiedAt string: The timestamp of resource last modification (UTC)
LastModifiedBy string: The identity that last modified the resource.
LastModifiedByType string: The type of identity that last modified the resource.

CreatedAt string: The timestamp of resource creation (UTC).
CreatedBy string: The identity that created the resource.
CreatedByType string: The type of identity that created the resource.
LastModifiedAt string: The timestamp of resource last modification (UTC)
LastModifiedBy string: The identity that last modified the resource.
LastModifiedByType string: The type of identity that last modified the resource.

createdAt String: The timestamp of resource creation (UTC).
createdBy String: The identity that created the resource.
createdByType String: The type of identity that created the resource.
lastModifiedAt String: The timestamp of resource last modification (UTC)
lastModifiedBy String: The identity that last modified the resource.
lastModifiedByType String: The type of identity that last modified the resource.

createdAt string: The timestamp of resource creation (UTC).
createdBy string: The identity that created the resource.
createdByType string: The type of identity that created the resource.
lastModifiedAt string: The timestamp of resource last modification (UTC)
lastModifiedBy string: The identity that last modified the resource.
lastModifiedByType string: The type of identity that last modified the resource.

created_at str: The timestamp of resource creation (UTC).
created_by str: The identity that created the resource.
created_by_type str: The type of identity that created the resource.
last_modified_at str: The timestamp of resource last modification (UTC)
last_modified_by str: The identity that last modified the resource.
last_modified_by_type str: The type of identity that last modified the resource.

createdAt String: The timestamp of resource creation (UTC).
createdBy String: The identity that created the resource.
createdByType String: The type of identity that created the resource.
lastModifiedAt String: The timestamp of resource last modification (UTC)
lastModifiedBy String: The identity that last modified the resource.
lastModifiedByType String: The type of identity that last modified the resource.

UserAssignedIdentityResponse, UserAssignedIdentityResponseArgs

ClientId string: The client ID of the assigned identity.
PrincipalId string: The principal ID of the assigned identity.
TenantId string: The tenant ID of the user assigned identity.

ClientId string: The client ID of the assigned identity.
PrincipalId string: The principal ID of the assigned identity.
TenantId string: The tenant ID of the user assigned identity.

clientId String: The client ID of the assigned identity.
principalId String: The principal ID of the assigned identity.
tenantId String: The tenant ID of the user assigned identity.

clientId string: The client ID of the assigned identity.
principalId string: The principal ID of the assigned identity.
tenantId string: The tenant ID of the user assigned identity.

client_id str: The client ID of the assigned identity.
principal_id str: The principal ID of the assigned identity.
tenant_id str: The tenant ID of the user assigned identity.

clientId String: The client ID of the assigned identity.
principalId String: The principal ID of the assigned identity.
tenantId String: The tenant ID of the user assigned identity.

Package Details

Repository: Azure Native pulumi/pulumi-azure-native
License: Apache-2.0

This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.

Azure Native v2.8.0 published on Monday, Sep 18, 2023 by Pulumi

pulumi/pulumi-azure-native

azure-native.machinelearningservices.BatchDeployment

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Import

Create BatchDeployment Resource

BatchDeployment Resource Properties

Inputs

Outputs

Supporting Types

BatchDeployment, BatchDeploymentArgs

BatchDeploymentResponse, BatchDeploymentResponseArgs

BatchLoggingLevel, BatchLoggingLevelArgs

BatchOutputAction, BatchOutputActionArgs

BatchRetrySettings, BatchRetrySettingsArgs

BatchRetrySettingsResponse, BatchRetrySettingsResponseArgs

CodeConfiguration, CodeConfigurationArgs

CodeConfigurationResponse, CodeConfigurationResponseArgs

DataPathAssetReference, DataPathAssetReferenceArgs

DataPathAssetReferenceResponse, DataPathAssetReferenceResponseArgs

DeploymentResourceConfiguration, DeploymentResourceConfigurationArgs

DeploymentResourceConfigurationResponse, DeploymentResourceConfigurationResponseArgs

IdAssetReference, IdAssetReferenceArgs

IdAssetReferenceResponse, IdAssetReferenceResponseArgs

ManagedServiceIdentity, ManagedServiceIdentityArgs

ManagedServiceIdentityResponse, ManagedServiceIdentityResponseArgs

ManagedServiceIdentityType, ManagedServiceIdentityTypeArgs

OutputPathAssetReference, OutputPathAssetReferenceArgs

OutputPathAssetReferenceResponse, OutputPathAssetReferenceResponseArgs

Sku, SkuArgs

SkuResponse, SkuResponseArgs

SkuTier, SkuTierArgs

SystemDataResponse, SystemDataResponseArgs

UserAssignedIdentityResponse, UserAssignedIdentityResponseArgs

Package Details

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