Docs Home Pulumi IaC Pulumi ESC Pulumi Insights Pulumi Cloud Packages Tutorials
  1. Packages
  2. Azure Native v2
  3. API Docs
  4. machinelearningservices
  5. BatchDeployment
These are the docs for Azure Native v2. We recommenend using the latest version, Azure Native v3.
Azure Native v2 v2.90.0 published on Thursday, Mar 27, 2025 by Pulumi
pulumi/pulumi-azure-native

azure-native-v2.machinelearningservices.BatchDeployment

Explore with Pulumi AI

These are the docs for Azure Native v2. We recommenend using the latest version, Azure Native v3.
Azure Native v2 v2.90.0 published on Thursday, Mar 27, 2025 by Pulumi
pulumi/pulumi-azure-native

Azure REST API version: 2023-04-01. Prior API version in Azure Native 1.x: 2021-03-01-preview.

Other available API versions: 2021-03-01-preview, 2022-02-01-preview, 2023-04-01-preview, 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-04-01-preview, 2024-07-01-preview, 2024-10-01, 2024-10-01-preview.

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}
Copy

Create BatchDeployment Resource

Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

Constructor syntax

new BatchDeployment(name: string, args: BatchDeploymentArgs, opts?: CustomResourceOptions);
@overload
def BatchDeployment(resource_name: str,
                    args: BatchDeploymentInitArgs,
                    opts: Optional[ResourceOptions] = None)

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

Parameters

name This property is required. string
The unique name of the resource.
args This property is required. BatchDeploymentArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
resource_name This property is required. str
The unique name of the resource.
args This property is required. 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 This property is required. string
The unique name of the resource.
args This property is required. BatchDeploymentArgs
The arguments to resource properties.
opts ResourceOption
Bag of options to control resource's behavior.
name This property is required. string
The unique name of the resource.
args This property is required. BatchDeploymentArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
name This property is required. String
The unique name of the resource.
args This property is required. BatchDeploymentArgs
The arguments to resource properties.
options CustomResourceOptions
Bag of options to control resource's behavior.

Constructor example

The following reference example uses placeholder values for all input properties.

var batchDeploymentResource = new AzureNative.Machinelearningservices.BatchDeployment("batchDeploymentResource", new()
{
    BatchDeploymentProperties = 
    {
        { "codeConfiguration", 
        {
            { "scoringScript", "string" },
            { "codeId", "string" },
        } },
        { "compute", "string" },
        { "description", "string" },
        { "environmentId", "string" },
        { "environmentVariables", 
        {
            { "string", "string" },
        } },
        { "errorThreshold", 0 },
        { "loggingLevel", "string" },
        { "maxConcurrencyPerInstance", 0 },
        { "miniBatchSize", 0 },
        { "model", 
        {
            { "referenceType", "DataPath" },
            { "datastoreId", "string" },
            { "path", "string" },
        } },
        { "outputAction", "string" },
        { "outputFileName", "string" },
        { "properties", 
        {
            { "string", "string" },
        } },
        { "resources", 
        {
            { "instanceCount", 0 },
            { "instanceType", "string" },
            { "properties", 
            {
                { "string", "any" },
            } },
        } },
        { "retrySettings", 
        {
            { "maxRetries", 0 },
            { "timeout", "string" },
        } },
    },
    EndpointName = "string",
    ResourceGroupName = "string",
    WorkspaceName = "string",
    DeploymentName = "string",
    Identity = 
    {
        { "type", "string" },
        { "userAssignedIdentities", new[]
        {
            "string",
        } },
    },
    Kind = "string",
    Location = "string",
    Sku = 
    {
        { "name", "string" },
        { "capacity", 0 },
        { "family", "string" },
        { "size", "string" },
        { "tier", "Free" },
    },
    Tags = 
    {
        { "string", "string" },
    },
});
Copy
example, err := machinelearningservices.NewBatchDeployment(ctx, "batchDeploymentResource", &machinelearningservices.BatchDeploymentArgs{
	BatchDeploymentProperties: map[string]interface{}{
		"codeConfiguration": map[string]interface{}{
			"scoringScript": "string",
			"codeId":        "string",
		},
		"compute":       "string",
		"description":   "string",
		"environmentId": "string",
		"environmentVariables": map[string]interface{}{
			"string": "string",
		},
		"errorThreshold":            0,
		"loggingLevel":              "string",
		"maxConcurrencyPerInstance": 0,
		"miniBatchSize":             0,
		"model": map[string]interface{}{
			"referenceType": "DataPath",
			"datastoreId":   "string",
			"path":          "string",
		},
		"outputAction":   "string",
		"outputFileName": "string",
		"properties": map[string]interface{}{
			"string": "string",
		},
		"resources": map[string]interface{}{
			"instanceCount": 0,
			"instanceType":  "string",
			"properties": map[string]interface{}{
				"string": "any",
			},
		},
		"retrySettings": map[string]interface{}{
			"maxRetries": 0,
			"timeout":    "string",
		},
	},
	EndpointName:      "string",
	ResourceGroupName: "string",
	WorkspaceName:     "string",
	DeploymentName:    "string",
	Identity: map[string]interface{}{
		"type": "string",
		"userAssignedIdentities": []string{
			"string",
		},
	},
	Kind:     "string",
	Location: "string",
	Sku: map[string]interface{}{
		"name":     "string",
		"capacity": 0,
		"family":   "string",
		"size":     "string",
		"tier":     "Free",
	},
	Tags: map[string]interface{}{
		"string": "string",
	},
})
Copy
var batchDeploymentResource = new BatchDeployment("batchDeploymentResource", BatchDeploymentArgs.builder()
    .batchDeploymentProperties(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .endpointName("string")
    .resourceGroupName("string")
    .workspaceName("string")
    .deploymentName("string")
    .identity(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .kind("string")
    .location("string")
    .sku(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .tags(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .build());
Copy
batch_deployment_resource = azure_native.machinelearningservices.BatchDeployment("batchDeploymentResource",
    batch_deployment_properties={
        codeConfiguration: {
            scoringScript: string,
            codeId: string,
        },
        compute: string,
        description: string,
        environmentId: string,
        environmentVariables: {
            string: string,
        },
        errorThreshold: 0,
        loggingLevel: string,
        maxConcurrencyPerInstance: 0,
        miniBatchSize: 0,
        model: {
            referenceType: DataPath,
            datastoreId: string,
            path: string,
        },
        outputAction: string,
        outputFileName: string,
        properties: {
            string: string,
        },
        resources: {
            instanceCount: 0,
            instanceType: string,
            properties: {
                string: any,
            },
        },
        retrySettings: {
            maxRetries: 0,
            timeout: string,
        },
    },
    endpoint_name=string,
    resource_group_name=string,
    workspace_name=string,
    deployment_name=string,
    identity={
        type: string,
        userAssignedIdentities: [string],
    },
    kind=string,
    location=string,
    sku={
        name: string,
        capacity: 0,
        family: string,
        size: string,
        tier: Free,
    },
    tags={
        string: string,
    })
Copy
const batchDeploymentResource = new azure_native.machinelearningservices.BatchDeployment("batchDeploymentResource", {
    batchDeploymentProperties: {
        codeConfiguration: {
            scoringScript: "string",
            codeId: "string",
        },
        compute: "string",
        description: "string",
        environmentId: "string",
        environmentVariables: {
            string: "string",
        },
        errorThreshold: 0,
        loggingLevel: "string",
        maxConcurrencyPerInstance: 0,
        miniBatchSize: 0,
        model: {
            referenceType: "DataPath",
            datastoreId: "string",
            path: "string",
        },
        outputAction: "string",
        outputFileName: "string",
        properties: {
            string: "string",
        },
        resources: {
            instanceCount: 0,
            instanceType: "string",
            properties: {
                string: "any",
            },
        },
        retrySettings: {
            maxRetries: 0,
            timeout: "string",
        },
    },
    endpointName: "string",
    resourceGroupName: "string",
    workspaceName: "string",
    deploymentName: "string",
    identity: {
        type: "string",
        userAssignedIdentities: ["string"],
    },
    kind: "string",
    location: "string",
    sku: {
        name: "string",
        capacity: 0,
        family: "string",
        size: "string",
        tier: "Free",
    },
    tags: {
        string: "string",
    },
});
Copy
type: azure-native:machinelearningservices:BatchDeployment
properties:
    batchDeploymentProperties:
        codeConfiguration:
            codeId: string
            scoringScript: string
        compute: string
        description: string
        environmentId: string
        environmentVariables:
            string: string
        errorThreshold: 0
        loggingLevel: string
        maxConcurrencyPerInstance: 0
        miniBatchSize: 0
        model:
            datastoreId: string
            path: string
            referenceType: DataPath
        outputAction: string
        outputFileName: string
        properties:
            string: string
        resources:
            instanceCount: 0
            instanceType: string
            properties:
                string: any
        retrySettings:
            maxRetries: 0
            timeout: string
    deploymentName: string
    endpointName: string
    identity:
        type: string
        userAssignedIdentities:
            - string
    kind: string
    location: string
    resourceGroupName: string
    sku:
        capacity: 0
        family: string
        name: string
        size: string
        tier: Free
    tags:
        string: string
    workspaceName: string
Copy

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

In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

The BatchDeployment resource accepts the following input properties:

BatchDeploymentProperties This property is required. Pulumi.AzureNative.MachineLearningServices.Inputs.BatchDeployment
[Required] Additional attributes of the entity.
EndpointName
This property is required.
Changes to this property will trigger replacement.
string
Inference endpoint name
ResourceGroupName
This property is required.
Changes to this property will trigger replacement.
string
The name of the resource group. The name is case insensitive.
WorkspaceName
This property is required.
Changes to this property will trigger replacement.
string
Name of Azure Machine Learning workspace.
DeploymentName Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 This property is required. BatchDeploymentTypeArgs
[Required] Additional attributes of the entity.
EndpointName
This property is required.
Changes to this property will trigger replacement.
string
Inference endpoint name
ResourceGroupName
This property is required.
Changes to this property will trigger replacement.
string
The name of the resource group. The name is case insensitive.
WorkspaceName
This property is required.
Changes to this property will trigger replacement.
string
Name of Azure Machine Learning workspace.
DeploymentName Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 This property is required. BatchDeployment
[Required] Additional attributes of the entity.
endpointName
This property is required.
Changes to this property will trigger replacement.
String
Inference endpoint name
resourceGroupName
This property is required.
Changes to this property will trigger replacement.
String
The name of the resource group. The name is case insensitive.
workspaceName
This property is required.
Changes to this property will trigger replacement.
String
Name of Azure Machine Learning workspace.
deploymentName Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 This property is required. BatchDeployment
[Required] Additional attributes of the entity.
endpointName
This property is required.
Changes to this property will trigger replacement.
string
Inference endpoint name
resourceGroupName
This property is required.
Changes to this property will trigger replacement.
string
The name of the resource group. The name is case insensitive.
workspaceName
This property is required.
Changes to this property will trigger replacement.
string
Name of Azure Machine Learning workspace.
deploymentName Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 This property is required. BatchDeploymentArgs
[Required] Additional attributes of the entity.
endpoint_name
This property is required.
Changes to this property will trigger replacement.
str
Inference endpoint name
resource_group_name
This property is required.
Changes to this property will trigger replacement.
str
The name of the resource group. The name is case insensitive.
workspace_name
This property is required.
Changes to this property will trigger replacement.
str
Name of Azure Machine Learning workspace.
deployment_name Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 This property is required. Property Map
[Required] Additional attributes of the entity.
endpointName
This property is required.
Changes to this property will trigger replacement.
String
Inference endpoint name
resourceGroupName
This property is required.
Changes to this property will trigger replacement.
String
The name of the resource group. The name is case insensitive.
workspaceName
This property is required.
Changes to this property will trigger replacement.
String
Name of Azure Machine Learning workspace.
deploymentName Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. string
[Required] The script to execute on startup. eg. "score.py"
CodeId string
ARM resource ID of the code asset.
ScoringScript This property is required. string
[Required] The script to execute on startup. eg. "score.py"
CodeId string
ARM resource ID of the code asset.
scoringScript This property is required. String
[Required] The script to execute on startup. eg. "score.py"
codeId String
ARM resource ID of the code asset.
scoringScript This property is required. string
[Required] The script to execute on startup. eg. "score.py"
codeId string
ARM resource ID of the code asset.
scoring_script This property is required. str
[Required] The script to execute on startup. eg. "score.py"
code_id str
ARM resource ID of the code asset.
scoringScript This property is required. String
[Required] The script to execute on startup. eg. "score.py"
codeId String
ARM resource ID of the code asset.

CodeConfigurationResponse
, CodeConfigurationResponseArgs

ScoringScript This property is required. string
[Required] The script to execute on startup. eg. "score.py"
CodeId string
ARM resource ID of the code asset.
ScoringScript This property is required. string
[Required] The script to execute on startup. eg. "score.py"
CodeId string
ARM resource ID of the code asset.
scoringScript This property is required. String
[Required] The script to execute on startup. eg. "score.py"
codeId String
ARM resource ID of the code asset.
scoringScript This property is required. string
[Required] The script to execute on startup. eg. "score.py"
codeId string
ARM resource ID of the code asset.
scoring_script This property is required. str
[Required] The script to execute on startup. eg. "score.py"
code_id str
ARM resource ID of the code asset.
scoringScript This property is required. 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 This property is required. string
[Required] ARM resource ID of the asset.
AssetId This property is required. string
[Required] ARM resource ID of the asset.
assetId This property is required. String
[Required] ARM resource ID of the asset.
assetId This property is required. string
[Required] ARM resource ID of the asset.
asset_id This property is required. str
[Required] ARM resource ID of the asset.
assetId This property is required. String
[Required] ARM resource ID of the asset.

IdAssetReferenceResponse
, IdAssetReferenceResponseArgs

AssetId This property is required. string
[Required] ARM resource ID of the asset.
AssetId This property is required. string
[Required] ARM resource ID of the asset.
assetId This property is required. String
[Required] ARM resource ID of the asset.
assetId This property is required. string
[Required] ARM resource ID of the asset.
asset_id This property is required. str
[Required] ARM resource ID of the asset.
assetId This property is required. String
[Required] ARM resource ID of the asset.

ManagedServiceIdentity
, ManagedServiceIdentityArgs

Type This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. string
The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
TenantId This property is required. string
The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
Type This property is required. 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 This property is required. string
The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
TenantId This property is required. string
The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
Type This property is required. 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 This property is required. String
The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
tenantId This property is required. String
The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
type This property is required. 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 This property is required. string
The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
tenantId This property is required. string
The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
type This property is required. 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 This property is required. str
The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
tenant_id This property is required. str
The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
type This property is required. 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 This property is required. String
The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
tenantId This property is required. String
The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
type This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. string
The client ID of the assigned identity.
PrincipalId This property is required. string
The principal ID of the assigned identity.
TenantId string
The tenant ID of the user assigned identity.
ClientId This property is required. string
The client ID of the assigned identity.
PrincipalId This property is required. string
The principal ID of the assigned identity.
TenantId string
The tenant ID of the user assigned identity.
clientId This property is required. String
The client ID of the assigned identity.
principalId This property is required. String
The principal ID of the assigned identity.
tenantId String
The tenant ID of the user assigned identity.
clientId This property is required. string
The client ID of the assigned identity.
principalId This property is required. string
The principal ID of the assigned identity.
tenantId string
The tenant ID of the user assigned identity.
client_id This property is required. str
The client ID of the assigned identity.
principal_id This property is required. str
The principal ID of the assigned identity.
tenant_id str
The tenant ID of the user assigned identity.
clientId This property is required. String
The client ID of the assigned identity.
principalId This property is required. String
The principal ID of the assigned identity.
tenantId String
The tenant ID of the user assigned identity.

Package Details

Repository
azure-native-v2 pulumi/pulumi-azure-native
License
Apache-2.0
These are the docs for Azure Native v2. We recommenend using the latest version, Azure Native v3.
Azure Native v2 v2.90.0 published on Thursday, Mar 27, 2025 by Pulumi
pulumi/pulumi-azure-native