Azure Native

Pulumi Official
Package maintained by Pulumi
v1.68.2 published on Tuesday, Aug 16, 2022 by Pulumi

BatchDeployment

API Version: 2021-03-01-preview.

Example Usage

CreateOrUpdate Batch Deployment.

using System.Collections.Generic;
using Pulumi;
using AzureNative = Pulumi.AzureNative;

return await Deployment.RunAsync(() => 
{
    var batchDeployment = new AzureNative.MachineLearningServices.BatchDeployment("batchDeployment", new()
    {
        DeploymentName = "testBatchDeployment",
        EndpointName = "testBatchEndpoint",
        Identity = new AzureNative.MachineLearningServices.Inputs.ResourceIdentityArgs
        {
            Type = "UserAssigned",
            UserAssignedIdentities = 
            {
                { "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity", new AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityMetaArgs
                {
                    ClientId = "string",
                    PrincipalId = "string",
                } },
            },
        },
        Kind = "string",
        Location = "string",
        Properties = new AzureNative.MachineLearningServices.Inputs.BatchDeploymentArgs
        {
            CodeConfiguration = new AzureNative.MachineLearningServices.Inputs.CodeConfigurationArgs
            {
                CodeId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/testcode/versions/1",
                ScoringScript = "score.py",
            },
            Compute = new AzureNative.MachineLearningServices.Inputs.ComputeConfigurationArgs
            {
                InstanceCount = 0,
                InstanceType = "string",
                IsLocal = false,
                Location = "string",
                Properties = 
                {
                    { "additionalProp1", "string" },
                    { "additionalProp2", "string" },
                    { "additionalProp3", "string" },
                },
                Target = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/computes/testcompute",
            },
            Description = "string",
            EnvironmentId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/myenv",
            EnvironmentVariables = 
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
            ErrorThreshold = 0,
            LoggingLevel = "Info",
            MiniBatchSize = 0,
            Model = new AzureNative.MachineLearningServices.Inputs.IdAssetReferenceArgs
            {
                AssetId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/testmodel/versions/1",
                ReferenceType = "Id",
            },
            OutputConfiguration = new AzureNative.MachineLearningServices.Inputs.BatchOutputConfigurationArgs
            {
                AppendRowFileName = "string",
                OutputAction = "SummaryOnly",
            },
            PartitionKeys = new[]
            {
                "string",
            },
            Properties = 
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
            RetrySettings = new AzureNative.MachineLearningServices.Inputs.BatchRetrySettingsArgs
            {
                MaxRetries = 0,
                Timeout = "PT1M",
            },
        },
        ResourceGroupName = "resourceGroup-1234",
        Tags = 
        {
            { "additionalProp1", "string" },
            { "additionalProp2", "string" },
            { "additionalProp3", "string" },
        },
        WorkspaceName = "testworkspace",
    });

});
package main

import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native/sdk/go/azure/machinelearningservices"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewBatchDeployment(ctx, "batchDeployment", &machinelearningservices.BatchDeploymentArgs{
			DeploymentName: pulumi.String("testBatchDeployment"),
			EndpointName:   pulumi.String("testBatchEndpoint"),
			Identity: &machinelearningservices.ResourceIdentityArgs{
				Type: pulumi.String("UserAssigned"),
				UserAssignedIdentities: machinelearningservices.UserAssignedIdentityMetaMap{
					"/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity": &machinelearningservices.UserAssignedIdentityMetaArgs{
						ClientId:    pulumi.String("string"),
						PrincipalId: pulumi.String("string"),
					},
				},
			},
			Kind:     pulumi.String("string"),
			Location: pulumi.String("string"),
			Properties: &machinelearningservices.BatchDeploymentTypeArgs{
				CodeConfiguration: &machinelearningservices.CodeConfigurationArgs{
					CodeId:        pulumi.String("/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/testcode/versions/1"),
					ScoringScript: pulumi.String("score.py"),
				},
				Compute: &machinelearningservices.ComputeConfigurationArgs{
					InstanceCount: pulumi.Int(0),
					InstanceType:  pulumi.String("string"),
					IsLocal:       pulumi.Bool(false),
					Location:      pulumi.String("string"),
					Properties: pulumi.StringMap{
						"additionalProp1": pulumi.String("string"),
						"additionalProp2": pulumi.String("string"),
						"additionalProp3": pulumi.String("string"),
					},
					Target: pulumi.String("/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/computes/testcompute"),
				},
				Description:   pulumi.String("string"),
				EnvironmentId: pulumi.String("/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/myenv"),
				EnvironmentVariables: pulumi.StringMap{
					"additionalProp1": pulumi.String("string"),
					"additionalProp2": pulumi.String("string"),
					"additionalProp3": pulumi.String("string"),
				},
				ErrorThreshold: pulumi.Int(0),
				LoggingLevel:   pulumi.String("Info"),
				MiniBatchSize:  pulumi.Float64(0),
				Model: machinelearningservices.IdAssetReference{
					AssetId:       "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/testmodel/versions/1",
					ReferenceType: "Id",
				},
				OutputConfiguration: &machinelearningservices.BatchOutputConfigurationArgs{
					AppendRowFileName: pulumi.String("string"),
					OutputAction:      pulumi.String("SummaryOnly"),
				},
				PartitionKeys: pulumi.StringArray{
					pulumi.String("string"),
				},
				Properties: pulumi.StringMap{
					"additionalProp1": pulumi.String("string"),
					"additionalProp2": pulumi.String("string"),
					"additionalProp3": pulumi.String("string"),
				},
				RetrySettings: &machinelearningservices.BatchRetrySettingsArgs{
					MaxRetries: pulumi.Int(0),
					Timeout:    pulumi.String("PT1M"),
				},
			},
			ResourceGroupName: pulumi.String("resourceGroup-1234"),
			Tags: pulumi.StringMap{
				"additionalProp1": pulumi.String("string"),
				"additionalProp2": pulumi.String("string"),
				"additionalProp3": pulumi.String("string"),
			},
			WorkspaceName: pulumi.String("testworkspace"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.BatchDeployment;
import com.pulumi.azurenative.machinelearningservices.BatchDeploymentArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var batchDeployment = new BatchDeployment("batchDeployment", BatchDeploymentArgs.builder()        
            .deploymentName("testBatchDeployment")
            .endpointName("testBatchEndpoint")
            .identity(Map.ofEntries(
                Map.entry("type", "UserAssigned"),
                Map.entry("userAssignedIdentities", Map.of("/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity", Map.ofEntries(
                    Map.entry("clientId", "string"),
                    Map.entry("principalId", "string")
                )))
            ))
            .kind("string")
            .location("string")
            .properties(Map.ofEntries(
                Map.entry("codeConfiguration", Map.ofEntries(
                    Map.entry("codeId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/testcode/versions/1"),
                    Map.entry("scoringScript", "score.py")
                )),
                Map.entry("compute", Map.ofEntries(
                    Map.entry("instanceCount", 0),
                    Map.entry("instanceType", "string"),
                    Map.entry("isLocal", false),
                    Map.entry("location", "string"),
                    Map.entry("properties", Map.ofEntries(
                        Map.entry("additionalProp1", "string"),
                        Map.entry("additionalProp2", "string"),
                        Map.entry("additionalProp3", "string")
                    )),
                    Map.entry("target", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/computes/testcompute")
                )),
                Map.entry("description", "string"),
                Map.entry("environmentId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/myenv"),
                Map.entry("environmentVariables", Map.ofEntries(
                    Map.entry("additionalProp1", "string"),
                    Map.entry("additionalProp2", "string"),
                    Map.entry("additionalProp3", "string")
                )),
                Map.entry("errorThreshold", 0),
                Map.entry("loggingLevel", "Info"),
                Map.entry("miniBatchSize", 0),
                Map.entry("model", Map.ofEntries(
                    Map.entry("assetId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/testmodel/versions/1"),
                    Map.entry("referenceType", "Id")
                )),
                Map.entry("outputConfiguration", Map.ofEntries(
                    Map.entry("appendRowFileName", "string"),
                    Map.entry("outputAction", "SummaryOnly")
                )),
                Map.entry("partitionKeys", "string"),
                Map.entry("properties", Map.ofEntries(
                    Map.entry("additionalProp1", "string"),
                    Map.entry("additionalProp2", "string"),
                    Map.entry("additionalProp3", "string")
                )),
                Map.entry("retrySettings", Map.ofEntries(
                    Map.entry("maxRetries", 0),
                    Map.entry("timeout", "PT1M")
                ))
            ))
            .resourceGroupName("resourceGroup-1234")
            .tags(Map.ofEntries(
                Map.entry("additionalProp1", "string"),
                Map.entry("additionalProp2", "string"),
                Map.entry("additionalProp3", "string")
            ))
            .workspaceName("testworkspace")
            .build());

    }
}
import pulumi
import pulumi_azure_native as azure_native

batch_deployment = azure_native.machinelearningservices.BatchDeployment("batchDeployment",
    deployment_name="testBatchDeployment",
    endpoint_name="testBatchEndpoint",
    identity=azure_native.machinelearningservices.ResourceIdentityArgs(
        type="UserAssigned",
        user_assigned_identities={
            "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity": azure_native.machinelearningservices.UserAssignedIdentityMetaArgs(
                client_id="string",
                principal_id="string",
            ),
        },
    ),
    kind="string",
    location="string",
    properties=azure_native.machinelearningservices.BatchDeploymentArgs(
        code_configuration=azure_native.machinelearningservices.CodeConfigurationArgs(
            code_id="/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/testcode/versions/1",
            scoring_script="score.py",
        ),
        compute=azure_native.machinelearningservices.ComputeConfigurationArgs(
            instance_count=0,
            instance_type="string",
            is_local=False,
            location="string",
            properties={
                "additionalProp1": "string",
                "additionalProp2": "string",
                "additionalProp3": "string",
            },
            target="/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/computes/testcompute",
        ),
        description="string",
        environment_id="/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/myenv",
        environment_variables={
            "additionalProp1": "string",
            "additionalProp2": "string",
            "additionalProp3": "string",
        },
        error_threshold=0,
        logging_level="Info",
        mini_batch_size=0,
        model=azure_native.machinelearningservices.IdAssetReferenceArgs(
            asset_id="/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/testmodel/versions/1",
            reference_type="Id",
        ),
        output_configuration=azure_native.machinelearningservices.BatchOutputConfigurationArgs(
            append_row_file_name="string",
            output_action="SummaryOnly",
        ),
        partition_keys=["string"],
        properties={
            "additionalProp1": "string",
            "additionalProp2": "string",
            "additionalProp3": "string",
        },
        retry_settings=azure_native.machinelearningservices.BatchRetrySettingsArgs(
            max_retries=0,
            timeout="PT1M",
        ),
    ),
    resource_group_name="resourceGroup-1234",
    tags={
        "additionalProp1": "string",
        "additionalProp2": "string",
        "additionalProp3": "string",
    },
    workspace_name="testworkspace")
import * as pulumi from "@pulumi/pulumi";
import * as azure_native from "@pulumi/azure-native";

const batchDeployment = new azure_native.machinelearningservices.BatchDeployment("batchDeployment", {
    deploymentName: "testBatchDeployment",
    endpointName: "testBatchEndpoint",
    identity: {
        type: "UserAssigned",
        userAssignedIdentities: {
            "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity": {
                clientId: "string",
                principalId: "string",
            },
        },
    },
    kind: "string",
    location: "string",
    properties: {
        codeConfiguration: {
            codeId: "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/testcode/versions/1",
            scoringScript: "score.py",
        },
        compute: {
            instanceCount: 0,
            instanceType: "string",
            isLocal: false,
            location: "string",
            properties: {
                additionalProp1: "string",
                additionalProp2: "string",
                additionalProp3: "string",
            },
            target: "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/computes/testcompute",
        },
        description: "string",
        environmentId: "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/myenv",
        environmentVariables: {
            additionalProp1: "string",
            additionalProp2: "string",
            additionalProp3: "string",
        },
        errorThreshold: 0,
        loggingLevel: "Info",
        miniBatchSize: 0,
        model: {
            assetId: "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/testmodel/versions/1",
            referenceType: "Id",
        },
        outputConfiguration: {
            appendRowFileName: "string",
            outputAction: "SummaryOnly",
        },
        partitionKeys: ["string"],
        properties: {
            additionalProp1: "string",
            additionalProp2: "string",
            additionalProp3: "string",
        },
        retrySettings: {
            maxRetries: 0,
            timeout: "PT1M",
        },
    },
    resourceGroupName: "resourceGroup-1234",
    tags: {
        additionalProp1: "string",
        additionalProp2: "string",
        additionalProp3: "string",
    },
    workspaceName: "testworkspace",
});
resources:
  batchDeployment:
    type: azure-native:machinelearningservices:BatchDeployment
    properties:
      deploymentName: testBatchDeployment
      endpointName: testBatchEndpoint
      identity:
        type: UserAssigned
        userAssignedIdentities:
          ? /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity
          : clientId: string
            principalId: string
      kind: string
      location: string
      properties:
        codeConfiguration:
          codeId: /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/testcode/versions/1
          scoringScript: score.py
        compute:
          instanceCount: 0
          instanceType: string
          isLocal: false
          location: string
          properties:
            additionalProp1: string
            additionalProp2: string
            additionalProp3: string
          target: /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/computes/testcompute
        description: string
        environmentId: /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/myenv
        environmentVariables:
          additionalProp1: string
          additionalProp2: string
          additionalProp3: string
        errorThreshold: 0
        loggingLevel: Info
        miniBatchSize: 0
        model:
          assetId: /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/testmodel/versions/1
          referenceType: Id
        outputConfiguration:
          appendRowFileName: string
          outputAction: SummaryOnly
        partitionKeys:
          - string
        properties:
          additionalProp1: string
          additionalProp2: string
          additionalProp3: string
        retrySettings:
          maxRetries: 0
          timeout: PT1M
      resourceGroupName: resourceGroup-1234
      tags:
        additionalProp1: string
        additionalProp2: string
        additionalProp3: string
      workspaceName: testworkspace

Create a BatchDeployment Resource

new BatchDeployment(name: string, args: BatchDeploymentArgs, opts?: CustomResourceOptions);
@overload
def BatchDeployment(resource_name: str,
                    opts: Optional[ResourceOptions] = None,
                    deployment_name: Optional[str] = None,
                    endpoint_name: Optional[str] = None,
                    identity: Optional[ResourceIdentityArgs] = None,
                    kind: Optional[str] = None,
                    location: Optional[str] = None,
                    properties: Optional[BatchDeploymentArgs] = None,
                    resource_group_name: Optional[str] = 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:

EndpointName string

Inference endpoint name

Properties Pulumi.AzureNative.MachineLearningServices.Inputs.BatchDeploymentArgs

[Required] Additional attributes of the entity.

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.ResourceIdentityArgs

Service identity associated with a resource.

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

Tags Dictionary<string, string>

Resource tags.

EndpointName string

Inference endpoint name

Properties BatchDeploymentTypeArgs

[Required] Additional attributes of the entity.

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 ResourceIdentityArgs

Service identity associated with a resource.

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

Tags map[string]string

Resource tags.

endpointName String

Inference endpoint name

properties BatchDeploymentArgs

[Required] Additional attributes of the entity.

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 ResourceIdentityArgs

Service identity associated with a resource.

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

tags Map<String,String>

Resource tags.

endpointName string

Inference endpoint name

properties BatchDeploymentArgs

[Required] Additional attributes of the entity.

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 ResourceIdentityArgs

Service identity associated with a resource.

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

tags {[key: string]: string}

Resource tags.

endpoint_name str

Inference endpoint name

properties BatchDeploymentArgs

[Required] Additional attributes of the entity.

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 ResourceIdentityArgs

Service identity associated with a resource.

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

tags Mapping[str, str]

Resource tags.

endpointName String

Inference endpoint name

properties Property Map

[Required] Additional attributes of the entity.

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

Service identity associated with a resource.

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

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

System data associated with resource provider

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

System data associated with resource provider

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

System data associated with resource provider

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

System data associated with resource provider

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

System data associated with resource provider

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

System data associated with resource provider

type String

The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

Supporting Types

BatchDeployment

CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfiguration

Code configuration for the endpoint deployment.

Compute Pulumi.AzureNative.MachineLearningServices.Inputs.ComputeConfiguration

Configuration for compute binding.

Description string

Description of the endpoint deployment.

EnvironmentId string

ARM resource ID 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.

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.

OutputConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.BatchOutputConfiguration

Output configuration for the batch inference operation.

PartitionKeys List<string>

Partition keys list used for Named partitioning.

Properties Dictionary<string, string>

Property dictionary. Properties can be added, but not removed or altered.

RetrySettings Pulumi.AzureNative.MachineLearningServices.Inputs.BatchRetrySettings

Retry Settings for the batch inference operation.

CodeConfiguration CodeConfiguration

Code configuration for the endpoint deployment.

Compute ComputeConfiguration

Configuration for compute binding.

Description string

Description of the endpoint deployment.

EnvironmentId string

ARM resource ID 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.

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.

OutputConfiguration BatchOutputConfiguration

Output configuration for the batch inference operation.

PartitionKeys []string

Partition keys list used for Named partitioning.

Properties map[string]string

Property dictionary. Properties can be added, but not removed or altered.

RetrySettings BatchRetrySettings

Retry Settings for the batch inference operation.

codeConfiguration CodeConfiguration

Code configuration for the endpoint deployment.

compute ComputeConfiguration

Configuration for compute binding.

description String

Description of the endpoint deployment.

environmentId String

ARM resource ID 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.

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.

outputConfiguration BatchOutputConfiguration

Output configuration for the batch inference operation.

partitionKeys List<String>

Partition keys list used for Named partitioning.

properties Map<String,String>

Property dictionary. Properties can be added, but not removed or altered.

retrySettings BatchRetrySettings

Retry Settings for the batch inference operation.

codeConfiguration CodeConfiguration

Code configuration for the endpoint deployment.

compute ComputeConfiguration

Configuration for compute binding.

description string

Description of the endpoint deployment.

environmentId string

ARM resource ID 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.

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.

outputConfiguration BatchOutputConfiguration

Output configuration for the batch inference operation.

partitionKeys string[]

Partition keys list used for Named partitioning.

properties {[key: string]: string}

Property dictionary. Properties can be added, but not removed or altered.

retrySettings BatchRetrySettings

Retry Settings for the batch inference operation.

code_configuration CodeConfiguration

Code configuration for the endpoint deployment.

compute ComputeConfiguration

Configuration for compute binding.

description str

Description of the endpoint deployment.

environment_id str

ARM resource ID 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.

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_configuration BatchOutputConfiguration

Output configuration for the batch inference operation.

partition_keys Sequence[str]

Partition keys list used for Named partitioning.

properties Mapping[str, str]

Property dictionary. Properties can be added, but not removed or altered.

retry_settings BatchRetrySettings

Retry Settings for the batch inference operation.

codeConfiguration Property Map

Code configuration for the endpoint deployment.

compute Property Map

Configuration for compute binding.

description String

Description of the endpoint deployment.

environmentId String

ARM resource ID 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.

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.

outputConfiguration Property Map

Output configuration for the batch inference operation.

partitionKeys List<String>

Partition keys list used for Named partitioning.

properties Map<String>

Property dictionary. Properties can be added, but not removed or altered.

retrySettings Property Map

Retry Settings for the batch inference operation.

BatchDeploymentResponse

CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfigurationResponse

Code configuration for the endpoint deployment.

Compute Pulumi.AzureNative.MachineLearningServices.Inputs.ComputeConfigurationResponse

Configuration for compute binding.

Description string

Description of the endpoint deployment.

EnvironmentId string

ARM resource ID 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.

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.

OutputConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.BatchOutputConfigurationResponse

Output configuration for the batch inference operation.

PartitionKeys List<string>

Partition keys list used for Named partitioning.

Properties Dictionary<string, string>

Property dictionary. Properties can be added, but not removed or altered.

RetrySettings Pulumi.AzureNative.MachineLearningServices.Inputs.BatchRetrySettingsResponse

Retry Settings for the batch inference operation.

CodeConfiguration CodeConfigurationResponse

Code configuration for the endpoint deployment.

Compute ComputeConfigurationResponse

Configuration for compute binding.

Description string

Description of the endpoint deployment.

EnvironmentId string

ARM resource ID 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.

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.

OutputConfiguration BatchOutputConfigurationResponse

Output configuration for the batch inference operation.

PartitionKeys []string

Partition keys list used for Named partitioning.

Properties map[string]string

Property dictionary. Properties can be added, but not removed or altered.

RetrySettings BatchRetrySettingsResponse

Retry Settings for the batch inference operation.

codeConfiguration CodeConfigurationResponse

Code configuration for the endpoint deployment.

compute ComputeConfigurationResponse

Configuration for compute binding.

description String

Description of the endpoint deployment.

environmentId String

ARM resource ID 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.

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.

outputConfiguration BatchOutputConfigurationResponse

Output configuration for the batch inference operation.

partitionKeys List<String>

Partition keys list used for Named partitioning.

properties Map<String,String>

Property dictionary. Properties can be added, but not removed or altered.

retrySettings BatchRetrySettingsResponse

Retry Settings for the batch inference operation.

codeConfiguration CodeConfigurationResponse

Code configuration for the endpoint deployment.

compute ComputeConfigurationResponse

Configuration for compute binding.

description string

Description of the endpoint deployment.

environmentId string

ARM resource ID 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.

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.

outputConfiguration BatchOutputConfigurationResponse

Output configuration for the batch inference operation.

partitionKeys string[]

Partition keys list used for Named partitioning.

properties {[key: string]: string}

Property dictionary. Properties can be added, but not removed or altered.

retrySettings BatchRetrySettingsResponse

Retry Settings for the batch inference operation.

code_configuration CodeConfigurationResponse

Code configuration for the endpoint deployment.

compute ComputeConfigurationResponse

Configuration for compute binding.

description str

Description of the endpoint deployment.

environment_id str

ARM resource ID 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.

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_configuration BatchOutputConfigurationResponse

Output configuration for the batch inference operation.

partition_keys Sequence[str]

Partition keys list used for Named partitioning.

properties Mapping[str, str]

Property dictionary. Properties can be added, but not removed or altered.

retry_settings BatchRetrySettingsResponse

Retry Settings for the batch inference operation.

codeConfiguration Property Map

Code configuration for the endpoint deployment.

compute Property Map

Configuration for compute binding.

description String

Description of the endpoint deployment.

environmentId String

ARM resource ID 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.

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.

outputConfiguration Property Map

Output configuration for the batch inference operation.

partitionKeys List<String>

Partition keys list used for Named partitioning.

properties Map<String>

Property dictionary. Properties can be added, but not removed or altered.

retrySettings Property Map

Retry Settings for the batch inference operation.

BatchLoggingLevel

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

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

BatchOutputConfiguration

AppendRowFileName string

Customized output file name for append_row output action.

OutputAction string | Pulumi.AzureNative.MachineLearningServices.BatchOutputAction

Indicates how the output will be organized.

AppendRowFileName string

Customized output file name for append_row output action.

OutputAction string | BatchOutputAction

Indicates how the output will be organized.

appendRowFileName String

Customized output file name for append_row output action.

outputAction String | BatchOutputAction

Indicates how the output will be organized.

appendRowFileName string

Customized output file name for append_row output action.

outputAction string | BatchOutputAction

Indicates how the output will be organized.

append_row_file_name str

Customized output file name for append_row output action.

output_action str | BatchOutputAction

Indicates how the output will be organized.

appendRowFileName String

Customized output file name for append_row output action.

outputAction String | "SummaryOnly" | "AppendRow"

Indicates how the output will be organized.

BatchOutputConfigurationResponse

AppendRowFileName string

Customized output file name for append_row output action.

OutputAction string

Indicates how the output will be organized.

AppendRowFileName string

Customized output file name for append_row output action.

OutputAction string

Indicates how the output will be organized.

appendRowFileName String

Customized output file name for append_row output action.

outputAction String

Indicates how the output will be organized.

appendRowFileName string

Customized output file name for append_row output action.

outputAction string

Indicates how the output will be organized.

append_row_file_name str

Customized output file name for append_row output action.

output_action str

Indicates how the output will be organized.

appendRowFileName String

Customized output file name for append_row output action.

outputAction String

Indicates how the output will be organized.

BatchRetrySettings

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

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

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

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.

ComputeConfiguration

InstanceCount int

Number of instances or nodes.

InstanceType string

SKU type to run on.

IsLocal bool

Set to true for jobs running on local compute.

Location string

Location for virtual cluster run.

Properties Dictionary<string, string>

Additional properties.

Target string

ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

InstanceCount int

Number of instances or nodes.

InstanceType string

SKU type to run on.

IsLocal bool

Set to true for jobs running on local compute.

Location string

Location for virtual cluster run.

Properties map[string]string

Additional properties.

Target string

ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

instanceCount Integer

Number of instances or nodes.

instanceType String

SKU type to run on.

isLocal Boolean

Set to true for jobs running on local compute.

location String

Location for virtual cluster run.

properties Map<String,String>

Additional properties.

target String

ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

instanceCount number

Number of instances or nodes.

instanceType string

SKU type to run on.

isLocal boolean

Set to true for jobs running on local compute.

location string

Location for virtual cluster run.

properties {[key: string]: string}

Additional properties.

target string

ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

instance_count int

Number of instances or nodes.

instance_type str

SKU type to run on.

is_local bool

Set to true for jobs running on local compute.

location str

Location for virtual cluster run.

properties Mapping[str, str]

Additional properties.

target str

ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

instanceCount Number

Number of instances or nodes.

instanceType String

SKU type to run on.

isLocal Boolean

Set to true for jobs running on local compute.

location String

Location for virtual cluster run.

properties Map<String>

Additional properties.

target String

ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

ComputeConfigurationResponse

InstanceCount int

Number of instances or nodes.

InstanceType string

SKU type to run on.

IsLocal bool

Set to true for jobs running on local compute.

Location string

Location for virtual cluster run.

Properties Dictionary<string, string>

Additional properties.

Target string

ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

InstanceCount int

Number of instances or nodes.

InstanceType string

SKU type to run on.

IsLocal bool

Set to true for jobs running on local compute.

Location string

Location for virtual cluster run.

Properties map[string]string

Additional properties.

Target string

ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

instanceCount Integer

Number of instances or nodes.

instanceType String

SKU type to run on.

isLocal Boolean

Set to true for jobs running on local compute.

location String

Location for virtual cluster run.

properties Map<String,String>

Additional properties.

target String

ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

instanceCount number

Number of instances or nodes.

instanceType string

SKU type to run on.

isLocal boolean

Set to true for jobs running on local compute.

location string

Location for virtual cluster run.

properties {[key: string]: string}

Additional properties.

target string

ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

instance_count int

Number of instances or nodes.

instance_type str

SKU type to run on.

is_local bool

Set to true for jobs running on local compute.

location str

Location for virtual cluster run.

properties Mapping[str, str]

Additional properties.

target str

ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

instanceCount Number

Number of instances or nodes.

instanceType String

SKU type to run on.

isLocal Boolean

Set to true for jobs running on local compute.

location String

Location for virtual cluster run.

properties Map<String>

Additional properties.

target String

ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

DataPathAssetReference

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

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.

IdAssetReference

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

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.

OutputPathAssetReference

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

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.

ResourceIdentity

Type string | Pulumi.AzureNative.MachineLearningServices.ResourceIdentityAssignment

Defines values for a ResourceIdentity's type.

UserAssignedIdentities Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityMeta>

Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

Type string | ResourceIdentityAssignment

Defines values for a ResourceIdentity's type.

UserAssignedIdentities map[string]UserAssignedIdentityMeta

Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

type String | ResourceIdentityAssignment

Defines values for a ResourceIdentity's type.

userAssignedIdentities Map<String,UserAssignedIdentityMeta>

Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

type string | ResourceIdentityAssignment

Defines values for a ResourceIdentity's type.

userAssignedIdentities {[key: string]: UserAssignedIdentityMeta}

Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

type str | ResourceIdentityAssignment

Defines values for a ResourceIdentity's type.

user_assigned_identities Mapping[str, UserAssignedIdentityMeta]

Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

type String | "SystemAssigned" | "UserAssigned" | "SystemAssigned,UserAssigned" | "None"

Defines values for a ResourceIdentity's type.

userAssignedIdentities Map<Property Map>

Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

ResourceIdentityAssignment

SystemAssigned
SystemAssigned
UserAssigned
UserAssigned
SystemAssigned_UserAssigned
SystemAssigned,UserAssigned
None
None
ResourceIdentityAssignmentSystemAssigned
SystemAssigned
ResourceIdentityAssignmentUserAssigned
UserAssigned
ResourceIdentityAssignment_SystemAssigned_UserAssigned
SystemAssigned,UserAssigned
ResourceIdentityAssignmentNone
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
"None"
None

ResourceIdentityResponse

PrincipalId string

Client ID that is used when authenticating.

TenantId string

AAD Tenant where this identity lives.

Type string

Defines values for a ResourceIdentity's type.

UserAssignedIdentities Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityMetaResponse>

Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

PrincipalId string

Client ID that is used when authenticating.

TenantId string

AAD Tenant where this identity lives.

Type string

Defines values for a ResourceIdentity's type.

UserAssignedIdentities map[string]UserAssignedIdentityMetaResponse

Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

principalId String

Client ID that is used when authenticating.

tenantId String

AAD Tenant where this identity lives.

type String

Defines values for a ResourceIdentity's type.

userAssignedIdentities Map<String,UserAssignedIdentityMetaResponse>

Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

principalId string

Client ID that is used when authenticating.

tenantId string

AAD Tenant where this identity lives.

type string

Defines values for a ResourceIdentity's type.

userAssignedIdentities {[key: string]: UserAssignedIdentityMetaResponse}

Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

principal_id str

Client ID that is used when authenticating.

tenant_id str

AAD Tenant where this identity lives.

type str

Defines values for a ResourceIdentity's type.

user_assigned_identities Mapping[str, UserAssignedIdentityMetaResponse]

Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

principalId String

Client ID that is used when authenticating.

tenantId String

AAD Tenant where this identity lives.

type String

Defines values for a ResourceIdentity's type.

userAssignedIdentities Map<Property Map>

Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

SystemDataResponse

CreatedAt string

The timestamp of resource creation (UTC)

CreatedBy string

An identifier for 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

An identifier for 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

An identifier for 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

An identifier for 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

An identifier for 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

An identifier for 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

An identifier for 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

An identifier for 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

An identifier for 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

An identifier for 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

An identifier for 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

An identifier for the identity that last modified the resource

lastModifiedByType String

The type of identity that last modified the resource

UserAssignedIdentityMeta

ClientId string

Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.

PrincipalId string

The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

ClientId string

Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.

PrincipalId string

The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

clientId String

Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.

principalId String

The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

clientId string

Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.

principalId string

The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

client_id str

Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.

principal_id str

The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

clientId String

Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.

principalId String

The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

UserAssignedIdentityMetaResponse

ClientId string

Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.

PrincipalId string

The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

ClientId string

Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.

PrincipalId string

The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

clientId String

Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.

principalId String

The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

clientId string

Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.

principalId string

The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

client_id str

Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.

principal_id str

The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

clientId String

Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.

principalId String

The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

Import

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

$ pulumi import azure-native:machinelearningservices:BatchDeployment testBatchDeployment /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/batchEndpoints/testBatchEndpoint/deployments/testBatchDeployment 

Package Details

Repository
https://github.com/pulumi/pulumi-azure-native
License
Apache-2.0