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These are the docs for Azure Native v1. We recommenend using the latest version, Azure Native v2.
Azure Native v1 v1.104.0 published on Thursday, Jul 6, 2023 by Pulumi
pulumi/pulumi-azure-native

azure-native.machinelearningservices.BatchDeployment

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azure-native-v1 logo
These are the docs for Azure Native v1. We recommenend using the latest version, Azure Native v2.
Azure Native v1 v1.104.0 published on Thursday, Jul 6, 2023 by Pulumi
pulumi/pulumi-azure-native

    API Version: 2021-03-01-preview.

    Example Usage

    CreateOrUpdate Batch Deployment.

    using System.Collections.Generic;
using System.Linq;
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/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.ResourceIdentityResponse{
				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.BatchDeploymentResponse{
				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.ResourceIdentityResponseArgs(
        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.BatchDeploymentResponseArgs(
        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 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,
                    endpoint_name: Optional[str] = None,
                    properties: Optional[BatchDeploymentArgs] = None,
                    resource_group_name: Optional[str] = None,
                    workspace_name: Optional[str] = None,
                    deployment_name: Optional[str] = None,
                    identity: Optional[ResourceIdentityArgs] = None,
                    kind: Optional[str] = None,
                    location: Optional[str] = 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 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.

    Constructor example

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

    var batchDeploymentResource = new AzureNative.Machinelearningservices.BatchDeployment("batchDeploymentResource", new()
{
    EndpointName = "string",
    Properties = 
    {
        { "codeConfiguration", 
        {
            { "scoringScript", "string" },
            { "codeId", "string" },
        } },
        { "compute", 
        {
            { "instanceCount", 0 },
            { "instanceType", "string" },
            { "isLocal", false },
            { "location", "string" },
            { "properties", 
            {
                { "string", "string" },
            } },
            { "target", "string" },
        } },
        { "description", "string" },
        { "environmentId", "string" },
        { "environmentVariables", 
        {
            { "string", "string" },
        } },
        { "errorThreshold", 0 },
        { "loggingLevel", "string" },
        { "miniBatchSize", 0 },
        { "model", 
        {
            { "referenceType", "DataPath" },
            { "datastoreId", "string" },
            { "path", "string" },
        } },
        { "outputConfiguration", 
        {
            { "appendRowFileName", "string" },
            { "outputAction", "string" },
        } },
        { "partitionKeys", new[]
        {
            "string",
        } },
        { "properties", 
        {
            { "string", "string" },
        } },
        { "retrySettings", 
        {
            { "maxRetries", 0 },
            { "timeout", "string" },
        } },
    },
    ResourceGroupName = "string",
    WorkspaceName = "string",
    DeploymentName = "string",
    Identity = 
    {
        { "type", "string" },
        { "userAssignedIdentities", 
        {
            { "string", 
            {
                { "clientId", "string" },
                { "principalId", "string" },
            } },
        } },
    },
    Kind = "string",
    Location = "string",
    Tags = 
    {
        { "string", "string" },
    },
});

    example, err := machinelearningservices.NewBatchDeployment(ctx, "batchDeploymentResource", &machinelearningservices.BatchDeploymentArgs{
	EndpointName: "string",
	Properties: map[string]interface{}{
		"codeConfiguration": map[string]interface{}{
			"scoringScript": "string",
			"codeId":        "string",
		},
		"compute": map[string]interface{}{
			"instanceCount": 0,
			"instanceType":  "string",
			"isLocal":       false,
			"location":      "string",
			"properties": map[string]interface{}{
				"string": "string",
			},
			"target": "string",
		},
		"description":   "string",
		"environmentId": "string",
		"environmentVariables": map[string]interface{}{
			"string": "string",
		},
		"errorThreshold": 0,
		"loggingLevel":   "string",
		"miniBatchSize":  0,
		"model": map[string]interface{}{
			"referenceType": "DataPath",
			"datastoreId":   "string",
			"path":          "string",
		},
		"outputConfiguration": map[string]interface{}{
			"appendRowFileName": "string",
			"outputAction":      "string",
		},
		"partitionKeys": []string{
			"string",
		},
		"properties": map[string]interface{}{
			"string": "string",
		},
		"retrySettings": map[string]interface{}{
			"maxRetries": 0,
			"timeout":    "string",
		},
	},
	ResourceGroupName: "string",
	WorkspaceName:     "string",
	DeploymentName:    "string",
	Identity: map[string]interface{}{
		"type": "string",
		"userAssignedIdentities": map[string]interface{}{
			"string": map[string]interface{}{
				"clientId":    "string",
				"principalId": "string",
			},
		},
	},
	Kind:     "string",
	Location: "string",
	Tags: map[string]interface{}{
		"string": "string",
	},
})

    var batchDeploymentResource = new BatchDeployment("batchDeploymentResource", BatchDeploymentArgs.builder()
    .endpointName("string")
    .properties(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .resourceGroupName("string")
    .workspaceName("string")
    .deploymentName("string")
    .identity(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .kind("string")
    .location("string")
    .tags(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .build());

    batch_deployment_resource = azure_native.machinelearningservices.BatchDeployment("batchDeploymentResource",
    endpoint_name=string,
    properties={
        codeConfiguration: {
            scoringScript: string,
            codeId: string,
        },
        compute: {
            instanceCount: 0,
            instanceType: string,
            isLocal: False,
            location: string,
            properties: {
                string: string,
            },
            target: string,
        },
        description: string,
        environmentId: string,
        environmentVariables: {
            string: string,
        },
        errorThreshold: 0,
        loggingLevel: string,
        miniBatchSize: 0,
        model: {
            referenceType: DataPath,
            datastoreId: string,
            path: string,
        },
        outputConfiguration: {
            appendRowFileName: string,
            outputAction: string,
        },
        partitionKeys: [string],
        properties: {
            string: string,
        },
        retrySettings: {
            maxRetries: 0,
            timeout: string,
        },
    },
    resource_group_name=string,
    workspace_name=string,
    deployment_name=string,
    identity={
        type: string,
        userAssignedIdentities: {
            string: {
                clientId: string,
                principalId: string,
            },
        },
    },
    kind=string,
    location=string,
    tags={
        string: string,
    })

    const batchDeploymentResource = new azure_native.machinelearningservices.BatchDeployment("batchDeploymentResource", {
    endpointName: "string",
    properties: {
        codeConfiguration: {
            scoringScript: "string",
            codeId: "string",
        },
        compute: {
            instanceCount: 0,
            instanceType: "string",
            isLocal: false,
            location: "string",
            properties: {
                string: "string",
            },
            target: "string",
        },
        description: "string",
        environmentId: "string",
        environmentVariables: {
            string: "string",
        },
        errorThreshold: 0,
        loggingLevel: "string",
        miniBatchSize: 0,
        model: {
            referenceType: "DataPath",
            datastoreId: "string",
            path: "string",
        },
        outputConfiguration: {
            appendRowFileName: "string",
            outputAction: "string",
        },
        partitionKeys: ["string"],
        properties: {
            string: "string",
        },
        retrySettings: {
            maxRetries: 0,
            timeout: "string",
        },
    },
    resourceGroupName: "string",
    workspaceName: "string",
    deploymentName: "string",
    identity: {
        type: "string",
        userAssignedIdentities: {
            string: {
                clientId: "string",
                principalId: "string",
            },
        },
    },
    kind: "string",
    location: "string",
    tags: {
        string: "string",
    },
});

    type: azure-native:machinelearningservices:BatchDeployment
properties:
    deploymentName: string
    endpointName: string
    identity:
        type: string
        userAssignedIdentities:
            string:
                clientId: string
                principalId: string
    kind: string
    location: string
    properties:
        codeConfiguration:
            codeId: string
            scoringScript: string
        compute:
            instanceCount: 0
            instanceType: string
            isLocal: false
            location: string
            properties:
                string: string
            target: string
        description: string
        environmentId: string
        environmentVariables:
            string: string
        errorThreshold: 0
        loggingLevel: string
        miniBatchSize: 0
        model:
            datastoreId: string
            path: string
            referenceType: DataPath
        outputConfiguration:
            appendRowFileName: string
            outputAction: string
        partitionKeys:
            - string
        properties:
            string: string
        retrySettings:
            maxRetries: 0
            timeout: string
    resourceGroupName: string
    tags:
        string: string
    workspaceName: string

    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:

    EndpointName string
    Inference endpoint name
    Properties Pulumi.AzureNative.MachineLearningServices.Inputs.BatchDeployment
    [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.ResourceIdentity
    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 BatchDeployment
    [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 ResourceIdentity
    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 BatchDeployment
    [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 ResourceIdentity
    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, BatchDeploymentArgs

    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, BatchDeploymentResponseArgs

    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, 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

    BatchOutputConfiguration, BatchOutputConfigurationArgs

    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, BatchOutputConfigurationResponseArgs

    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, BatchRetrySettingsArgs

    MaxRetries int
    Maximum retry count for a mini-batch
    Timeout string
    Invocation timeout for a mini-batch, in ISO 8601 format.
    MaxRetries int
    Maximum retry count for a mini-batch
    Timeout string
    Invocation timeout for a mini-batch, in ISO 8601 format.
    maxRetries Integer
    Maximum retry count for a mini-batch
    timeout String
    Invocation timeout for a mini-batch, in ISO 8601 format.
    maxRetries number
    Maximum retry count for a mini-batch
    timeout string
    Invocation timeout for a mini-batch, in ISO 8601 format.
    max_retries int
    Maximum retry count for a mini-batch
    timeout str
    Invocation timeout for a mini-batch, in ISO 8601 format.
    maxRetries Number
    Maximum retry count for a mini-batch
    timeout String
    Invocation timeout for a mini-batch, in ISO 8601 format.

    BatchRetrySettingsResponse, BatchRetrySettingsResponseArgs

    MaxRetries int
    Maximum retry count for a mini-batch
    Timeout string
    Invocation timeout for a mini-batch, in ISO 8601 format.
    MaxRetries int
    Maximum retry count for a mini-batch
    Timeout string
    Invocation timeout for a mini-batch, in ISO 8601 format.
    maxRetries Integer
    Maximum retry count for a mini-batch
    timeout String
    Invocation timeout for a mini-batch, in ISO 8601 format.
    maxRetries number
    Maximum retry count for a mini-batch
    timeout string
    Invocation timeout for a mini-batch, in ISO 8601 format.
    max_retries int
    Maximum retry count for a mini-batch
    timeout str
    Invocation timeout for a mini-batch, in ISO 8601 format.
    maxRetries Number
    Maximum retry count for a mini-batch
    timeout String
    Invocation timeout for a mini-batch, in ISO 8601 format.

    CodeConfiguration, CodeConfigurationArgs

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

    CodeConfigurationResponse, CodeConfigurationResponseArgs

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

    ComputeConfiguration, ComputeConfigurationArgs

    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, ComputeConfigurationResponseArgs

    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, 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.

    IdAssetReference, IdAssetReferenceArgs

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

    IdAssetReferenceResponse, IdAssetReferenceResponseArgs

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

    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.

    ResourceIdentity, ResourceIdentityArgs

    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, ResourceIdentityAssignmentArgs

    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, ResourceIdentityResponseArgs

    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, SystemDataResponseArgs

    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, UserAssignedIdentityMetaArgs

    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, UserAssignedIdentityMetaResponseArgs

    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

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    azure-native-v1 pulumi/pulumi-azure-native
    License
    Apache-2.0
    azure-native-v1 logo
    These are the docs for Azure Native v1. We recommenend using the latest version, Azure Native v2.
    Azure Native v1 v1.104.0 published on Thursday, Jul 6, 2023 by Pulumi
    pulumi/pulumi-azure-native