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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.LabelingJob

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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

    Machine Learning labeling job object wrapped into ARM resource envelope. API Version: 2020-09-01-preview.

    Example Usage

    Create or update LabelingJob

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

return await Deployment.RunAsync(() => 
{
    var labelingJob = new AzureNative.MachineLearningServices.LabelingJob("labelingJob", new()
    {
        LabelingJobId = "testLabelingJob",
        Properties = new AzureNative.MachineLearningServices.Inputs.LabelingJobPropertiesArgs
        {
            DatasetConfiguration = new AzureNative.MachineLearningServices.Inputs.LabelingDatasetConfigurationArgs
            {
                AssetName = "testdataasset",
                DatasetVersion = "1",
                EnableIncrementalDatasetRefresh = true,
            },
            JobInstructions = new AzureNative.MachineLearningServices.Inputs.LabelingJobInstructionsArgs
            {
                Uri = "https://www.testjobInstructions.com/labeling1.txt",
            },
            LabelCategories = 
            {
                { "testCategory", new AzureNative.MachineLearningServices.Inputs.LabelCategoryArgs
                {
                    AllowMultiSelect = false,
                    Classes = 
                    {
                        { "testClass1", new AzureNative.MachineLearningServices.Inputs.LabelClassArgs
                        {
                            DisplayName = "testClass1",
                            Subclasses = 
                            {
                                { "testclass1-1", new AzureNative.MachineLearningServices.Inputs.LabelClassArgs
                                {
                                    DisplayName = "testClass1-1",
                                } },
                            },
                        } },
                        { "testClass2", new AzureNative.MachineLearningServices.Inputs.LabelClassArgs
                        {
                            DisplayName = "testClass2",
                        } },
                    },
                    DisplayName = "testCategory",
                } },
            },
            LabelingJobMediaProperties = new AzureNative.MachineLearningServices.Inputs.LabelingJobImagePropertiesArgs
            {
                AnnotationType = "BoundingBox",
                MediaType = "Image",
            },
            MlAssistConfiguration = new AzureNative.MachineLearningServices.Inputs.MLAssistConfigurationArgs
            {
                InferencingComputeBinding = new AzureNative.MachineLearningServices.Inputs.ComputeBindingArgs
                {
                    ComputeId = "inferencingcompute",
                },
                MlAssistEnabled = true,
                ModelNamePrefix = "testmodel_1",
                PrelabelAccuracyThreshold = 0.8,
                TrainingComputeBinding = new AzureNative.MachineLearningServices.Inputs.ComputeBindingArgs
                {
                    ComputeId = "trainingcompute",
                },
            },
            Properties = 
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
            Tags = 
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
        },
        ResourceGroupName = "workspace-1234",
        WorkspaceName = "testworkspace",
    });

});

    Coming soon!

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.LabelingJob;
import com.pulumi.azurenative.machinelearningservices.LabelingJobArgs;
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 labelingJob = new LabelingJob("labelingJob", LabelingJobArgs.builder()        
            .labelingJobId("testLabelingJob")
            .properties(Map.ofEntries(
                Map.entry("datasetConfiguration", Map.ofEntries(
                    Map.entry("assetName", "testdataasset"),
                    Map.entry("datasetVersion", "1"),
                    Map.entry("enableIncrementalDatasetRefresh", true)
                )),
                Map.entry("jobInstructions", Map.of("uri", "https://www.testjobInstructions.com/labeling1.txt")),
                Map.entry("labelCategories", Map.of("testCategory", Map.ofEntries(
                    Map.entry("allowMultiSelect", false),
                    Map.entry("classes", Map.ofEntries(
                        Map.entry("testClass1", Map.ofEntries(
                            Map.entry("displayName", "testClass1"),
                            Map.entry("subclasses", Map.of("testclass1-1", Map.of("displayName", "testClass1-1")))
                        )),
                        Map.entry("testClass2", Map.of("displayName", "testClass2"))
                    )),
                    Map.entry("displayName", "testCategory")
                ))),
                Map.entry("labelingJobMediaProperties", Map.ofEntries(
                    Map.entry("annotationType", "BoundingBox"),
                    Map.entry("mediaType", "Image")
                )),
                Map.entry("mlAssistConfiguration", Map.ofEntries(
                    Map.entry("inferencingComputeBinding", Map.of("computeId", "inferencingcompute")),
                    Map.entry("mlAssistEnabled", true),
                    Map.entry("modelNamePrefix", "testmodel_1"),
                    Map.entry("prelabelAccuracyThreshold", 0.8),
                    Map.entry("trainingComputeBinding", Map.of("computeId", "trainingcompute"))
                )),
                Map.entry("properties", Map.ofEntries(
                    Map.entry("additionalProp1", "string"),
                    Map.entry("additionalProp2", "string"),
                    Map.entry("additionalProp3", "string")
                )),
                Map.entry("tags", Map.ofEntries(
                    Map.entry("additionalProp1", "string"),
                    Map.entry("additionalProp2", "string"),
                    Map.entry("additionalProp3", "string")
                ))
            ))
            .resourceGroupName("workspace-1234")
            .workspaceName("testworkspace")
            .build());

    }
}

    import pulumi
import pulumi_azure_native as azure_native

labeling_job = azure_native.machinelearningservices.LabelingJob("labelingJob",
    labeling_job_id="testLabelingJob",
    properties=azure_native.machinelearningservices.LabelingJobPropertiesResponseArgs(
        dataset_configuration=azure_native.machinelearningservices.LabelingDatasetConfigurationArgs(
            asset_name="testdataasset",
            dataset_version="1",
            enable_incremental_dataset_refresh=True,
        ),
        job_instructions=azure_native.machinelearningservices.LabelingJobInstructionsArgs(
            uri="https://www.testjobInstructions.com/labeling1.txt",
        ),
        label_categories={
            "testCategory": azure_native.machinelearningservices.LabelCategoryArgs(
                allow_multi_select=False,
                classes={
                    "testClass1": {
                        "displayName": "testClass1",
                        "subclasses": {
                            "testclass1-1": azure_native.machinelearningservices.LabelClassArgs(
                                display_name="testClass1-1",
                            ),
                        },
                    },
                    "testClass2": azure_native.machinelearningservices.LabelClassArgs(
                        display_name="testClass2",
                    ),
                },
                display_name="testCategory",
            ),
        },
        labeling_job_media_properties=azure_native.machinelearningservices.LabelingJobImagePropertiesArgs(
            annotation_type="BoundingBox",
            media_type="Image",
        ),
        ml_assist_configuration={
            "inferencingComputeBinding": azure_native.machinelearningservices.ComputeBindingArgs(
                compute_id="inferencingcompute",
            ),
            "mlAssistEnabled": True,
            "modelNamePrefix": "testmodel_1",
            "prelabelAccuracyThreshold": 0.8,
            "trainingComputeBinding": azure_native.machinelearningservices.ComputeBindingArgs(
                compute_id="trainingcompute",
            ),
        },
        properties={
            "additionalProp1": "string",
            "additionalProp2": "string",
            "additionalProp3": "string",
        },
        tags={
            "additionalProp1": "string",
            "additionalProp2": "string",
            "additionalProp3": "string",
        },
    ),
    resource_group_name="workspace-1234",
    workspace_name="testworkspace")

    import * as pulumi from "@pulumi/pulumi";
import * as azure_native from "@pulumi/azure-native";

const labelingJob = new azure_native.machinelearningservices.LabelingJob("labelingJob", {
    labelingJobId: "testLabelingJob",
    properties: {
        datasetConfiguration: {
            assetName: "testdataasset",
            datasetVersion: "1",
            enableIncrementalDatasetRefresh: true,
        },
        jobInstructions: {
            uri: "https://www.testjobInstructions.com/labeling1.txt",
        },
        labelCategories: {
            testCategory: {
                allowMultiSelect: false,
                classes: {
                    testClass1: {
                        displayName: "testClass1",
                        subclasses: {
                            "testclass1-1": {
                                displayName: "testClass1-1",
                            },
                        },
                    },
                    testClass2: {
                        displayName: "testClass2",
                    },
                },
                displayName: "testCategory",
            },
        },
        labelingJobMediaProperties: {
            annotationType: "BoundingBox",
            mediaType: "Image",
        },
        mlAssistConfiguration: {
            inferencingComputeBinding: {
                computeId: "inferencingcompute",
            },
            mlAssistEnabled: true,
            modelNamePrefix: "testmodel_1",
            prelabelAccuracyThreshold: 0.8,
            trainingComputeBinding: {
                computeId: "trainingcompute",
            },
        },
        properties: {
            additionalProp1: "string",
            additionalProp2: "string",
            additionalProp3: "string",
        },
        tags: {
            additionalProp1: "string",
            additionalProp2: "string",
            additionalProp3: "string",
        },
    },
    resourceGroupName: "workspace-1234",
    workspaceName: "testworkspace",
});

    resources:
  labelingJob:
    type: azure-native:machinelearningservices:LabelingJob
    properties:
      labelingJobId: testLabelingJob
      properties:
        datasetConfiguration:
          assetName: testdataasset
          datasetVersion: '1'
          enableIncrementalDatasetRefresh: true
        jobInstructions:
          uri: https://www.testjobInstructions.com/labeling1.txt
        labelCategories:
          testCategory:
            allowMultiSelect: false
            classes:
              testClass1:
                displayName: testClass1
                subclasses:
                  testclass1-1:
                    displayName: testClass1-1
              testClass2:
                displayName: testClass2
            displayName: testCategory
        labelingJobMediaProperties:
          annotationType: BoundingBox
          mediaType: Image
        mlAssistConfiguration:
          inferencingComputeBinding:
            computeId: inferencingcompute
          mlAssistEnabled: true
          modelNamePrefix: testmodel_1
          prelabelAccuracyThreshold: 0.8
          trainingComputeBinding:
            computeId: trainingcompute
        properties:
          additionalProp1: string
          additionalProp2: string
          additionalProp3: string
        tags:
          additionalProp1: string
          additionalProp2: string
          additionalProp3: string
      resourceGroupName: workspace-1234
      workspaceName: testworkspace

    Create LabelingJob Resource

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

    Constructor syntax

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

@overload
def LabelingJob(resource_name: str,
                opts: Optional[ResourceOptions] = None,
                resource_group_name: Optional[str] = None,
                workspace_name: Optional[str] = None,
                labeling_job_id: Optional[str] = None,
                properties: Optional[LabelingJobPropertiesArgs] = None)
    func NewLabelingJob(ctx *Context, name string, args LabelingJobArgs, opts ...ResourceOption) (*LabelingJob, error)
    public LabelingJob(string name, LabelingJobArgs args, CustomResourceOptions? opts = null)
    public LabelingJob(String name, LabelingJobArgs args)
public LabelingJob(String name, LabelingJobArgs args, CustomResourceOptions options)

    type: azure-native:machinelearningservices:LabelingJob
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 LabelingJobArgs
    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 LabelingJobArgs
    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 LabelingJobArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args LabelingJobArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args LabelingJobArgs
    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 labelingJobResource = new AzureNative.Machinelearningservices.LabelingJob("labelingJobResource", new()
{
    ResourceGroupName = "string",
    WorkspaceName = "string",
    LabelingJobId = "string",
    Properties = 
    {
        { "datasetConfiguration", 
        {
            { "assetName", "string" },
            { "datasetVersion", "string" },
            { "enableIncrementalDatasetRefresh", false },
        } },
        { "jobInstructions", 
        {
            { "uri", "string" },
        } },
        { "labelCategories", 
        {
            { "string", 
            {
                { "classes", 
                {
                    { "string", 
                    {
                        { "displayName", "string" },
                        { "subclasses", 
                        {
                            { "string", labelClass },
                        } },
                    } },
                } },
                { "allowMultiSelect", false },
                { "displayName", "string" },
            } },
        } },
        { "labelingJobMediaProperties", 
        {
            { "mediaType", "string" },
            { "annotationType", "string" },
        } },
        { "mlAssistConfiguration", 
        {
            { "inferencingComputeBinding", 
            {
                { "computeId", "string" },
                { "nodeCount", 0 },
            } },
            { "modelNamePrefix", "string" },
            { "trainingComputeBinding", 
            {
                { "computeId", "string" },
                { "nodeCount", 0 },
            } },
            { "mlAssistEnabled", false },
            { "prelabelAccuracyThreshold", 0 },
        } },
        { "properties", 
        {
            { "string", "string" },
        } },
        { "tags", 
        {
            { "string", "string" },
        } },
    },
});

    example, err := machinelearningservices.NewLabelingJob(ctx, "labelingJobResource", &machinelearningservices.LabelingJobArgs{
	ResourceGroupName: "string",
	WorkspaceName:     "string",
	LabelingJobId:     "string",
	Properties: map[string]interface{}{
		"datasetConfiguration": map[string]interface{}{
			"assetName":                       "string",
			"datasetVersion":                  "string",
			"enableIncrementalDatasetRefresh": false,
		},
		"jobInstructions": map[string]interface{}{
			"uri": "string",
		},
		"labelCategories": map[string]interface{}{
			"string": map[string]interface{}{
				"classes": map[string]interface{}{
					"string": map[string]interface{}{
						"displayName": "string",
						"subclasses": map[string]interface{}{
							"string": labelClass,
						},
					},
				},
				"allowMultiSelect": false,
				"displayName":      "string",
			},
		},
		"labelingJobMediaProperties": map[string]interface{}{
			"mediaType":      "string",
			"annotationType": "string",
		},
		"mlAssistConfiguration": map[string]interface{}{
			"inferencingComputeBinding": map[string]interface{}{
				"computeId": "string",
				"nodeCount": 0,
			},
			"modelNamePrefix": "string",
			"trainingComputeBinding": map[string]interface{}{
				"computeId": "string",
				"nodeCount": 0,
			},
			"mlAssistEnabled":           false,
			"prelabelAccuracyThreshold": 0,
		},
		"properties": map[string]interface{}{
			"string": "string",
		},
		"tags": map[string]interface{}{
			"string": "string",
		},
	},
})

    var labelingJobResource = new LabelingJob("labelingJobResource", LabelingJobArgs.builder()
    .resourceGroupName("string")
    .workspaceName("string")
    .labelingJobId("string")
    .properties(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .build());

    labeling_job_resource = azure_native.machinelearningservices.LabelingJob("labelingJobResource",
    resource_group_name=string,
    workspace_name=string,
    labeling_job_id=string,
    properties={
        datasetConfiguration: {
            assetName: string,
            datasetVersion: string,
            enableIncrementalDatasetRefresh: False,
        },
        jobInstructions: {
            uri: string,
        },
        labelCategories: {
            string: {
                classes: {
                    string: {
                        displayName: string,
                        subclasses: {
                            string: label_class,
                        },
                    },
                },
                allowMultiSelect: False,
                displayName: string,
            },
        },
        labelingJobMediaProperties: {
            mediaType: string,
            annotationType: string,
        },
        mlAssistConfiguration: {
            inferencingComputeBinding: {
                computeId: string,
                nodeCount: 0,
            },
            modelNamePrefix: string,
            trainingComputeBinding: {
                computeId: string,
                nodeCount: 0,
            },
            mlAssistEnabled: False,
            prelabelAccuracyThreshold: 0,
        },
        properties: {
            string: string,
        },
        tags: {
            string: string,
        },
    })

    const labelingJobResource = new azure_native.machinelearningservices.LabelingJob("labelingJobResource", {
    resourceGroupName: "string",
    workspaceName: "string",
    labelingJobId: "string",
    properties: {
        datasetConfiguration: {
            assetName: "string",
            datasetVersion: "string",
            enableIncrementalDatasetRefresh: false,
        },
        jobInstructions: {
            uri: "string",
        },
        labelCategories: {
            string: {
                classes: {
                    string: {
                        displayName: "string",
                        subclasses: {
                            string: labelClass,
                        },
                    },
                },
                allowMultiSelect: false,
                displayName: "string",
            },
        },
        labelingJobMediaProperties: {
            mediaType: "string",
            annotationType: "string",
        },
        mlAssistConfiguration: {
            inferencingComputeBinding: {
                computeId: "string",
                nodeCount: 0,
            },
            modelNamePrefix: "string",
            trainingComputeBinding: {
                computeId: "string",
                nodeCount: 0,
            },
            mlAssistEnabled: false,
            prelabelAccuracyThreshold: 0,
        },
        properties: {
            string: "string",
        },
        tags: {
            string: "string",
        },
    },
});

    type: azure-native:machinelearningservices:LabelingJob
properties:
    labelingJobId: string
    properties:
        datasetConfiguration:
            assetName: string
            datasetVersion: string
            enableIncrementalDatasetRefresh: false
        jobInstructions:
            uri: string
        labelCategories:
            string:
                allowMultiSelect: false
                classes:
                    string:
                        displayName: string
                        subclasses:
                            string: ${labelClass}
                displayName: string
        labelingJobMediaProperties:
            annotationType: string
            mediaType: string
        mlAssistConfiguration:
            inferencingComputeBinding:
                computeId: string
                nodeCount: 0
            mlAssistEnabled: false
            modelNamePrefix: string
            prelabelAccuracyThreshold: 0
            trainingComputeBinding:
                computeId: string
                nodeCount: 0
        properties:
            string: string
        tags:
            string: string
    resourceGroupName: string
    workspaceName: string

    LabelingJob 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 LabelingJob resource accepts the following input properties:

    ResourceGroupName string
    Name of the resource group in which workspace is located.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    LabelingJobId string
    Name and identifier for LabelingJob.
    Properties Pulumi.AzureNative.MachineLearningServices.Inputs.LabelingJobProperties
    Definition of a labeling job.
    ResourceGroupName string
    Name of the resource group in which workspace is located.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    LabelingJobId string
    Name and identifier for LabelingJob.
    Properties LabelingJobPropertiesArgs
    Definition of a labeling job.
    resourceGroupName String
    Name of the resource group in which workspace is located.
    workspaceName String
    Name of Azure Machine Learning workspace.
    labelingJobId String
    Name and identifier for LabelingJob.
    properties LabelingJobProperties
    Definition of a labeling job.
    resourceGroupName string
    Name of the resource group in which workspace is located.
    workspaceName string
    Name of Azure Machine Learning workspace.
    labelingJobId string
    Name and identifier for LabelingJob.
    properties LabelingJobProperties
    Definition of a labeling job.
    resource_group_name str
    Name of the resource group in which workspace is located.
    workspace_name str
    Name of Azure Machine Learning workspace.
    labeling_job_id str
    Name and identifier for LabelingJob.
    properties LabelingJobPropertiesArgs
    Definition of a labeling job.
    resourceGroupName String
    Name of the resource group in which workspace is located.
    workspaceName String
    Name of Azure Machine Learning workspace.
    labelingJobId String
    Name and identifier for LabelingJob.
    properties Property Map
    Definition of a labeling job.

    Outputs

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

    Id string
    The provider-assigned unique ID for this managed resource.
    Name string
    The name of the resource entity.
    SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse
    Metadata pertaining to creation and last modification of the resource.
    Type string
    The resource provider and type.
    Id string
    The provider-assigned unique ID for this managed resource.
    Name string
    The name of the resource entity.
    SystemData SystemDataResponse
    Metadata pertaining to creation and last modification of the resource.
    Type string
    The resource provider and type.
    id String
    The provider-assigned unique ID for this managed resource.
    name String
    The name of the resource entity.
    systemData SystemDataResponse
    Metadata pertaining to creation and last modification of the resource.
    type String
    The resource provider and type.
    id string
    The provider-assigned unique ID for this managed resource.
    name string
    The name of the resource entity.
    systemData SystemDataResponse
    Metadata pertaining to creation and last modification of the resource.
    type string
    The resource provider and type.
    id str
    The provider-assigned unique ID for this managed resource.
    name str
    The name of the resource entity.
    system_data SystemDataResponse
    Metadata pertaining to creation and last modification of the resource.
    type str
    The resource provider and type.
    id String
    The provider-assigned unique ID for this managed resource.
    name String
    The name of the resource entity.
    systemData Property Map
    Metadata pertaining to creation and last modification of the resource.
    type String
    The resource provider and type.

    Supporting Types

    ComputeBinding, ComputeBindingArgs

    ComputeId string
    ID of the compute resource.
    NodeCount int
    Number of nodes.
    ComputeId string
    ID of the compute resource.
    NodeCount int
    Number of nodes.
    computeId String
    ID of the compute resource.
    nodeCount Integer
    Number of nodes.
    computeId string
    ID of the compute resource.
    nodeCount number
    Number of nodes.
    compute_id str
    ID of the compute resource.
    node_count int
    Number of nodes.
    computeId String
    ID of the compute resource.
    nodeCount Number
    Number of nodes.

    ComputeBindingResponse, ComputeBindingResponseArgs

    ComputeId string
    ID of the compute resource.
    NodeCount int
    Number of nodes.
    ComputeId string
    ID of the compute resource.
    NodeCount int
    Number of nodes.
    computeId String
    ID of the compute resource.
    nodeCount Integer
    Number of nodes.
    computeId string
    ID of the compute resource.
    nodeCount number
    Number of nodes.
    compute_id str
    ID of the compute resource.
    node_count int
    Number of nodes.
    computeId String
    ID of the compute resource.
    nodeCount Number
    Number of nodes.

    ImageAnnotationType, ImageAnnotationTypeArgs

    Classification
    Classification
    BoundingBox
    BoundingBox
    InstanceSegmentation
    InstanceSegmentation
    ImageAnnotationTypeClassification
    Classification
    ImageAnnotationTypeBoundingBox
    BoundingBox
    ImageAnnotationTypeInstanceSegmentation
    InstanceSegmentation
    Classification
    Classification
    BoundingBox
    BoundingBox
    InstanceSegmentation
    InstanceSegmentation
    Classification
    Classification
    BoundingBox
    BoundingBox
    InstanceSegmentation
    InstanceSegmentation
    CLASSIFICATION
    Classification
    BOUNDING_BOX
    BoundingBox
    INSTANCE_SEGMENTATION
    InstanceSegmentation
    "Classification"
    Classification
    "BoundingBox"
    BoundingBox
    "InstanceSegmentation"
    InstanceSegmentation

    LabelCategory, LabelCategoryArgs

    Classes Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.LabelClass>
    Dictionary of label classes in this category.
    AllowMultiSelect bool
    Indicates whether it is allowed to select multiple classes in this category.
    DisplayName string
    Display name of the label category.
    Classes map[string]LabelClass
    Dictionary of label classes in this category.
    AllowMultiSelect bool
    Indicates whether it is allowed to select multiple classes in this category.
    DisplayName string
    Display name of the label category.
    classes Map<String,LabelClass>
    Dictionary of label classes in this category.
    allowMultiSelect Boolean
    Indicates whether it is allowed to select multiple classes in this category.
    displayName String
    Display name of the label category.
    classes {[key: string]: LabelClass}
    Dictionary of label classes in this category.
    allowMultiSelect boolean
    Indicates whether it is allowed to select multiple classes in this category.
    displayName string
    Display name of the label category.
    classes Mapping[str, LabelClass]
    Dictionary of label classes in this category.
    allow_multi_select bool
    Indicates whether it is allowed to select multiple classes in this category.
    display_name str
    Display name of the label category.
    classes Map<Property Map>
    Dictionary of label classes in this category.
    allowMultiSelect Boolean
    Indicates whether it is allowed to select multiple classes in this category.
    displayName String
    Display name of the label category.

    LabelCategoryResponse, LabelCategoryResponseArgs

    Classes Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.LabelClassResponse>
    Dictionary of label classes in this category.
    AllowMultiSelect bool
    Indicates whether it is allowed to select multiple classes in this category.
    DisplayName string
    Display name of the label category.
    Classes map[string]LabelClassResponse
    Dictionary of label classes in this category.
    AllowMultiSelect bool
    Indicates whether it is allowed to select multiple classes in this category.
    DisplayName string
    Display name of the label category.
    classes Map<String,LabelClassResponse>
    Dictionary of label classes in this category.
    allowMultiSelect Boolean
    Indicates whether it is allowed to select multiple classes in this category.
    displayName String
    Display name of the label category.
    classes {[key: string]: LabelClassResponse}
    Dictionary of label classes in this category.
    allowMultiSelect boolean
    Indicates whether it is allowed to select multiple classes in this category.
    displayName string
    Display name of the label category.
    classes Mapping[str, LabelClassResponse]
    Dictionary of label classes in this category.
    allow_multi_select bool
    Indicates whether it is allowed to select multiple classes in this category.
    display_name str
    Display name of the label category.
    classes Map<Property Map>
    Dictionary of label classes in this category.
    allowMultiSelect Boolean
    Indicates whether it is allowed to select multiple classes in this category.
    displayName String
    Display name of the label category.

    LabelClass, LabelClassArgs

    DisplayName string
    Display name of the label class.
    Subclasses Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.LabelClass>
    Dictionary of subclasses of the label class.
    DisplayName string
    Display name of the label class.
    Subclasses map[string]LabelClass
    Dictionary of subclasses of the label class.
    displayName String
    Display name of the label class.
    subclasses Map<String,LabelClass>
    Dictionary of subclasses of the label class.
    displayName string
    Display name of the label class.
    subclasses {[key: string]: LabelClass}
    Dictionary of subclasses of the label class.
    display_name str
    Display name of the label class.
    subclasses Mapping[str, LabelClass]
    Dictionary of subclasses of the label class.
    displayName String
    Display name of the label class.
    subclasses Map<Property Map>
    Dictionary of subclasses of the label class.

    LabelClassResponse, LabelClassResponseArgs

    DisplayName string
    Display name of the label class.
    Subclasses Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.LabelClassResponse>
    Dictionary of subclasses of the label class.
    DisplayName string
    Display name of the label class.
    Subclasses map[string]LabelClassResponse
    Dictionary of subclasses of the label class.
    displayName String
    Display name of the label class.
    subclasses Map<String,LabelClassResponse>
    Dictionary of subclasses of the label class.
    displayName string
    Display name of the label class.
    subclasses {[key: string]: LabelClassResponse}
    Dictionary of subclasses of the label class.
    display_name str
    Display name of the label class.
    subclasses Mapping[str, LabelClassResponse]
    Dictionary of subclasses of the label class.
    displayName String
    Display name of the label class.
    subclasses Map<Property Map>
    Dictionary of subclasses of the label class.

    LabelingDatasetConfiguration, LabelingDatasetConfigurationArgs

    AssetName string
    Name of the data asset to perform labeling.
    DatasetVersion string
    AML dataset version.
    EnableIncrementalDatasetRefresh bool
    Indicates whether to enable incremental dataset refresh.
    AssetName string
    Name of the data asset to perform labeling.
    DatasetVersion string
    AML dataset version.
    EnableIncrementalDatasetRefresh bool
    Indicates whether to enable incremental dataset refresh.
    assetName String
    Name of the data asset to perform labeling.
    datasetVersion String
    AML dataset version.
    enableIncrementalDatasetRefresh Boolean
    Indicates whether to enable incremental dataset refresh.
    assetName string
    Name of the data asset to perform labeling.
    datasetVersion string
    AML dataset version.
    enableIncrementalDatasetRefresh boolean
    Indicates whether to enable incremental dataset refresh.
    asset_name str
    Name of the data asset to perform labeling.
    dataset_version str
    AML dataset version.
    enable_incremental_dataset_refresh bool
    Indicates whether to enable incremental dataset refresh.
    assetName String
    Name of the data asset to perform labeling.
    datasetVersion String
    AML dataset version.
    enableIncrementalDatasetRefresh Boolean
    Indicates whether to enable incremental dataset refresh.

    LabelingDatasetConfigurationResponse, LabelingDatasetConfigurationResponseArgs

    AssetName string
    Name of the data asset to perform labeling.
    DatasetVersion string
    AML dataset version.
    EnableIncrementalDatasetRefresh bool
    Indicates whether to enable incremental dataset refresh.
    AssetName string
    Name of the data asset to perform labeling.
    DatasetVersion string
    AML dataset version.
    EnableIncrementalDatasetRefresh bool
    Indicates whether to enable incremental dataset refresh.
    assetName String
    Name of the data asset to perform labeling.
    datasetVersion String
    AML dataset version.
    enableIncrementalDatasetRefresh Boolean
    Indicates whether to enable incremental dataset refresh.
    assetName string
    Name of the data asset to perform labeling.
    datasetVersion string
    AML dataset version.
    enableIncrementalDatasetRefresh boolean
    Indicates whether to enable incremental dataset refresh.
    asset_name str
    Name of the data asset to perform labeling.
    dataset_version str
    AML dataset version.
    enable_incremental_dataset_refresh bool
    Indicates whether to enable incremental dataset refresh.
    assetName String
    Name of the data asset to perform labeling.
    datasetVersion String
    AML dataset version.
    enableIncrementalDatasetRefresh Boolean
    Indicates whether to enable incremental dataset refresh.

    LabelingJobImageProperties, LabelingJobImagePropertiesArgs

    MediaType string | MediaType
    Media type of data asset.
    AnnotationType string | ImageAnnotationType
    Annotation type of image labeling tasks.
    mediaType String | MediaType
    Media type of data asset.
    annotationType String | ImageAnnotationType
    Annotation type of image labeling tasks.
    mediaType string | MediaType
    Media type of data asset.
    annotationType string | ImageAnnotationType
    Annotation type of image labeling tasks.
    media_type str | MediaType
    Media type of data asset.
    annotation_type str | ImageAnnotationType
    Annotation type of image labeling tasks.
    mediaType String | "Image" | "Text"
    Media type of data asset.
    annotationType String | "Classification" | "BoundingBox" | "InstanceSegmentation"
    Annotation type of image labeling tasks.

    LabelingJobImagePropertiesResponse, LabelingJobImagePropertiesResponseArgs

    MediaType string
    Media type of data asset.
    AnnotationType string
    Annotation type of image labeling tasks.
    MediaType string
    Media type of data asset.
    AnnotationType string
    Annotation type of image labeling tasks.
    mediaType String
    Media type of data asset.
    annotationType String
    Annotation type of image labeling tasks.
    mediaType string
    Media type of data asset.
    annotationType string
    Annotation type of image labeling tasks.
    media_type str
    Media type of data asset.
    annotation_type str
    Annotation type of image labeling tasks.
    mediaType String
    Media type of data asset.
    annotationType String
    Annotation type of image labeling tasks.

    LabelingJobInstructions, LabelingJobInstructionsArgs

    Uri string
    The link to a page with detailed labeling instructions for labelers.
    Uri string
    The link to a page with detailed labeling instructions for labelers.
    uri String
    The link to a page with detailed labeling instructions for labelers.
    uri string
    The link to a page with detailed labeling instructions for labelers.
    uri str
    The link to a page with detailed labeling instructions for labelers.
    uri String
    The link to a page with detailed labeling instructions for labelers.

    LabelingJobInstructionsResponse, LabelingJobInstructionsResponseArgs

    Uri string
    The link to a page with detailed labeling instructions for labelers.
    Uri string
    The link to a page with detailed labeling instructions for labelers.
    uri String
    The link to a page with detailed labeling instructions for labelers.
    uri string
    The link to a page with detailed labeling instructions for labelers.
    uri str
    The link to a page with detailed labeling instructions for labelers.
    uri String
    The link to a page with detailed labeling instructions for labelers.

    LabelingJobProperties, LabelingJobPropertiesArgs

    DatasetConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.LabelingDatasetConfiguration
    Dataset configuration for the job.
    JobInstructions Pulumi.AzureNative.MachineLearningServices.Inputs.LabelingJobInstructions
    Instructions for the job.
    LabelCategories Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.LabelCategory>
    Label categories of the job.
    LabelingJobMediaProperties Pulumi.AzureNative.MachineLearningServices.Inputs.LabelingJobImageProperties
    Media specific properties in a labeling job.
    MlAssistConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.MLAssistConfiguration
    Machine learning assisted configuration for the job.
    Properties Dictionary<string, string>
    The job property dictionary. Properties can be added, but not removed or altered.
    Tags Dictionary<string, string>
    The job tag dictionary. Tags can be added, removed, and updated.
    DatasetConfiguration LabelingDatasetConfiguration
    Dataset configuration for the job.
    JobInstructions LabelingJobInstructions
    Instructions for the job.
    LabelCategories map[string]LabelCategory
    Label categories of the job.
    LabelingJobMediaProperties LabelingJobImageProperties
    Media specific properties in a labeling job.
    MlAssistConfiguration MLAssistConfiguration
    Machine learning assisted configuration for the job.
    Properties map[string]string
    The job property dictionary. Properties can be added, but not removed or altered.
    Tags map[string]string
    The job tag dictionary. Tags can be added, removed, and updated.
    datasetConfiguration LabelingDatasetConfiguration
    Dataset configuration for the job.
    jobInstructions LabelingJobInstructions
    Instructions for the job.
    labelCategories Map<String,LabelCategory>
    Label categories of the job.
    labelingJobMediaProperties LabelingJobImageProperties
    Media specific properties in a labeling job.
    mlAssistConfiguration MLAssistConfiguration
    Machine learning assisted configuration for the job.
    properties Map<String,String>
    The job property dictionary. Properties can be added, but not removed or altered.
    tags Map<String,String>
    The job tag dictionary. Tags can be added, removed, and updated.
    datasetConfiguration LabelingDatasetConfiguration
    Dataset configuration for the job.
    jobInstructions LabelingJobInstructions
    Instructions for the job.
    labelCategories {[key: string]: LabelCategory}
    Label categories of the job.
    labelingJobMediaProperties LabelingJobImageProperties
    Media specific properties in a labeling job.
    mlAssistConfiguration MLAssistConfiguration
    Machine learning assisted configuration for the job.
    properties {[key: string]: string}
    The job property dictionary. Properties can be added, but not removed or altered.
    tags {[key: string]: string}
    The job tag dictionary. Tags can be added, removed, and updated.
    dataset_configuration LabelingDatasetConfiguration
    Dataset configuration for the job.
    job_instructions LabelingJobInstructions
    Instructions for the job.
    label_categories Mapping[str, LabelCategory]
    Label categories of the job.
    labeling_job_media_properties LabelingJobImageProperties
    Media specific properties in a labeling job.
    ml_assist_configuration MLAssistConfiguration
    Machine learning assisted configuration for the job.
    properties Mapping[str, str]
    The job property dictionary. Properties can be added, but not removed or altered.
    tags Mapping[str, str]
    The job tag dictionary. Tags can be added, removed, and updated.
    datasetConfiguration Property Map
    Dataset configuration for the job.
    jobInstructions Property Map
    Instructions for the job.
    labelCategories Map<Property Map>
    Label categories of the job.
    labelingJobMediaProperties Property Map
    Media specific properties in a labeling job.
    mlAssistConfiguration Property Map
    Machine learning assisted configuration for the job.
    properties Map<String>
    The job property dictionary. Properties can be added, but not removed or altered.
    tags Map<String>
    The job tag dictionary. Tags can be added, removed, and updated.

    LabelingJobPropertiesResponse, LabelingJobPropertiesResponseArgs

    CreatedTimeUtc string
    Created time of the job in UTC timezone.
    DatasetConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.LabelingDatasetConfigurationResponse
    Dataset configuration for the job.
    JobInstructions Pulumi.AzureNative.MachineLearningServices.Inputs.LabelingJobInstructionsResponse
    Instructions for the job.
    LabelCategories Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.LabelCategoryResponse>
    Label categories of the job.
    LabelingJobMediaProperties Pulumi.AzureNative.MachineLearningServices.Inputs.LabelingJobImagePropertiesResponse
    Media specific properties in a labeling job.
    ProgressMetrics Pulumi.AzureNative.MachineLearningServices.Inputs.ProgressMetricsResponse
    Progress metrics of the job.
    ProjectId string
    Internal id of the job(Previously called project).
    Status string
    Status of the job.
    StatusMessages List<Pulumi.AzureNative.MachineLearningServices.Inputs.StatusMessageResponse>
    Status messages of the job.
    MlAssistConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.MLAssistConfigurationResponse
    Machine learning assisted configuration for the job.
    Properties Dictionary<string, string>
    The job property dictionary. Properties can be added, but not removed or altered.
    Tags Dictionary<string, string>
    The job tag dictionary. Tags can be added, removed, and updated.
    CreatedTimeUtc string
    Created time of the job in UTC timezone.
    DatasetConfiguration LabelingDatasetConfigurationResponse
    Dataset configuration for the job.
    JobInstructions LabelingJobInstructionsResponse
    Instructions for the job.
    LabelCategories map[string]LabelCategoryResponse
    Label categories of the job.
    LabelingJobMediaProperties LabelingJobImagePropertiesResponse
    Media specific properties in a labeling job.
    ProgressMetrics ProgressMetricsResponse
    Progress metrics of the job.
    ProjectId string
    Internal id of the job(Previously called project).
    Status string
    Status of the job.
    StatusMessages []StatusMessageResponse
    Status messages of the job.
    MlAssistConfiguration MLAssistConfigurationResponse
    Machine learning assisted configuration for the job.
    Properties map[string]string
    The job property dictionary. Properties can be added, but not removed or altered.
    Tags map[string]string
    The job tag dictionary. Tags can be added, removed, and updated.
    createdTimeUtc String
    Created time of the job in UTC timezone.
    datasetConfiguration LabelingDatasetConfigurationResponse
    Dataset configuration for the job.
    jobInstructions LabelingJobInstructionsResponse
    Instructions for the job.
    labelCategories Map<String,LabelCategoryResponse>
    Label categories of the job.
    labelingJobMediaProperties LabelingJobImagePropertiesResponse
    Media specific properties in a labeling job.
    progressMetrics ProgressMetricsResponse
    Progress metrics of the job.
    projectId String
    Internal id of the job(Previously called project).
    status String
    Status of the job.
    statusMessages List<StatusMessageResponse>
    Status messages of the job.
    mlAssistConfiguration MLAssistConfigurationResponse
    Machine learning assisted configuration for the job.
    properties Map<String,String>
    The job property dictionary. Properties can be added, but not removed or altered.
    tags Map<String,String>
    The job tag dictionary. Tags can be added, removed, and updated.
    createdTimeUtc string
    Created time of the job in UTC timezone.
    datasetConfiguration LabelingDatasetConfigurationResponse
    Dataset configuration for the job.
    jobInstructions LabelingJobInstructionsResponse
    Instructions for the job.
    labelCategories {[key: string]: LabelCategoryResponse}
    Label categories of the job.
    labelingJobMediaProperties LabelingJobImagePropertiesResponse
    Media specific properties in a labeling job.
    progressMetrics ProgressMetricsResponse
    Progress metrics of the job.
    projectId string
    Internal id of the job(Previously called project).
    status string
    Status of the job.
    statusMessages StatusMessageResponse[]
    Status messages of the job.
    mlAssistConfiguration MLAssistConfigurationResponse
    Machine learning assisted configuration for the job.
    properties {[key: string]: string}
    The job property dictionary. Properties can be added, but not removed or altered.
    tags {[key: string]: string}
    The job tag dictionary. Tags can be added, removed, and updated.
    created_time_utc str
    Created time of the job in UTC timezone.
    dataset_configuration LabelingDatasetConfigurationResponse
    Dataset configuration for the job.
    job_instructions LabelingJobInstructionsResponse
    Instructions for the job.
    label_categories Mapping[str, LabelCategoryResponse]
    Label categories of the job.
    labeling_job_media_properties LabelingJobImagePropertiesResponse
    Media specific properties in a labeling job.
    progress_metrics ProgressMetricsResponse
    Progress metrics of the job.
    project_id str
    Internal id of the job(Previously called project).
    status str
    Status of the job.
    status_messages Sequence[StatusMessageResponse]
    Status messages of the job.
    ml_assist_configuration MLAssistConfigurationResponse
    Machine learning assisted configuration for the job.
    properties Mapping[str, str]
    The job property dictionary. Properties can be added, but not removed or altered.
    tags Mapping[str, str]
    The job tag dictionary. Tags can be added, removed, and updated.
    createdTimeUtc String
    Created time of the job in UTC timezone.
    datasetConfiguration Property Map
    Dataset configuration for the job.
    jobInstructions Property Map
    Instructions for the job.
    labelCategories Map<Property Map>
    Label categories of the job.
    labelingJobMediaProperties Property Map
    Media specific properties in a labeling job.
    progressMetrics Property Map
    Progress metrics of the job.
    projectId String
    Internal id of the job(Previously called project).
    status String
    Status of the job.
    statusMessages List<Property Map>
    Status messages of the job.
    mlAssistConfiguration Property Map
    Machine learning assisted configuration for the job.
    properties Map<String>
    The job property dictionary. Properties can be added, but not removed or altered.
    tags Map<String>
    The job tag dictionary. Tags can be added, removed, and updated.

    MLAssistConfiguration, MLAssistConfigurationArgs

    InferencingComputeBinding Pulumi.AzureNative.MachineLearningServices.Inputs.ComputeBinding
    The compute designated for inferencing.
    ModelNamePrefix string
    Name prefix to use for machine learning model. For each iteration modelName will be appended with iteration e.g.{modelName}_{i}.
    TrainingComputeBinding Pulumi.AzureNative.MachineLearningServices.Inputs.ComputeBinding
    The compute designated for training.
    MlAssistEnabled bool
    Indicates whether MLAssist feature is enabled.
    PrelabelAccuracyThreshold double
    Prelabel accuracy threshold used in MLAssist feature.
    InferencingComputeBinding ComputeBinding
    The compute designated for inferencing.
    ModelNamePrefix string
    Name prefix to use for machine learning model. For each iteration modelName will be appended with iteration e.g.{modelName}_{i}.
    TrainingComputeBinding ComputeBinding
    The compute designated for training.
    MlAssistEnabled bool
    Indicates whether MLAssist feature is enabled.
    PrelabelAccuracyThreshold float64
    Prelabel accuracy threshold used in MLAssist feature.
    inferencingComputeBinding ComputeBinding
    The compute designated for inferencing.
    modelNamePrefix String
    Name prefix to use for machine learning model. For each iteration modelName will be appended with iteration e.g.{modelName}_{i}.
    trainingComputeBinding ComputeBinding
    The compute designated for training.
    mlAssistEnabled Boolean
    Indicates whether MLAssist feature is enabled.
    prelabelAccuracyThreshold Double
    Prelabel accuracy threshold used in MLAssist feature.
    inferencingComputeBinding ComputeBinding
    The compute designated for inferencing.
    modelNamePrefix string
    Name prefix to use for machine learning model. For each iteration modelName will be appended with iteration e.g.{modelName}_{i}.
    trainingComputeBinding ComputeBinding
    The compute designated for training.
    mlAssistEnabled boolean
    Indicates whether MLAssist feature is enabled.
    prelabelAccuracyThreshold number
    Prelabel accuracy threshold used in MLAssist feature.
    inferencing_compute_binding ComputeBinding
    The compute designated for inferencing.
    model_name_prefix str
    Name prefix to use for machine learning model. For each iteration modelName will be appended with iteration e.g.{modelName}_{i}.
    training_compute_binding ComputeBinding
    The compute designated for training.
    ml_assist_enabled bool
    Indicates whether MLAssist feature is enabled.
    prelabel_accuracy_threshold float
    Prelabel accuracy threshold used in MLAssist feature.
    inferencingComputeBinding Property Map
    The compute designated for inferencing.
    modelNamePrefix String
    Name prefix to use for machine learning model. For each iteration modelName will be appended with iteration e.g.{modelName}_{i}.
    trainingComputeBinding Property Map
    The compute designated for training.
    mlAssistEnabled Boolean
    Indicates whether MLAssist feature is enabled.
    prelabelAccuracyThreshold Number
    Prelabel accuracy threshold used in MLAssist feature.

    MLAssistConfigurationResponse, MLAssistConfigurationResponseArgs

    InferencingComputeBinding Pulumi.AzureNative.MachineLearningServices.Inputs.ComputeBindingResponse
    The compute designated for inferencing.
    ModelNamePrefix string
    Name prefix to use for machine learning model. For each iteration modelName will be appended with iteration e.g.{modelName}_{i}.
    TrainingComputeBinding Pulumi.AzureNative.MachineLearningServices.Inputs.ComputeBindingResponse
    The compute designated for training.
    MlAssistEnabled bool
    Indicates whether MLAssist feature is enabled.
    PrelabelAccuracyThreshold double
    Prelabel accuracy threshold used in MLAssist feature.
    InferencingComputeBinding ComputeBindingResponse
    The compute designated for inferencing.
    ModelNamePrefix string
    Name prefix to use for machine learning model. For each iteration modelName will be appended with iteration e.g.{modelName}_{i}.
    TrainingComputeBinding ComputeBindingResponse
    The compute designated for training.
    MlAssistEnabled bool
    Indicates whether MLAssist feature is enabled.
    PrelabelAccuracyThreshold float64
    Prelabel accuracy threshold used in MLAssist feature.
    inferencingComputeBinding ComputeBindingResponse
    The compute designated for inferencing.
    modelNamePrefix String
    Name prefix to use for machine learning model. For each iteration modelName will be appended with iteration e.g.{modelName}_{i}.
    trainingComputeBinding ComputeBindingResponse
    The compute designated for training.
    mlAssistEnabled Boolean
    Indicates whether MLAssist feature is enabled.
    prelabelAccuracyThreshold Double
    Prelabel accuracy threshold used in MLAssist feature.
    inferencingComputeBinding ComputeBindingResponse
    The compute designated for inferencing.
    modelNamePrefix string
    Name prefix to use for machine learning model. For each iteration modelName will be appended with iteration e.g.{modelName}_{i}.
    trainingComputeBinding ComputeBindingResponse
    The compute designated for training.
    mlAssistEnabled boolean
    Indicates whether MLAssist feature is enabled.
    prelabelAccuracyThreshold number
    Prelabel accuracy threshold used in MLAssist feature.
    inferencing_compute_binding ComputeBindingResponse
    The compute designated for inferencing.
    model_name_prefix str
    Name prefix to use for machine learning model. For each iteration modelName will be appended with iteration e.g.{modelName}_{i}.
    training_compute_binding ComputeBindingResponse
    The compute designated for training.
    ml_assist_enabled bool
    Indicates whether MLAssist feature is enabled.
    prelabel_accuracy_threshold float
    Prelabel accuracy threshold used in MLAssist feature.
    inferencingComputeBinding Property Map
    The compute designated for inferencing.
    modelNamePrefix String
    Name prefix to use for machine learning model. For each iteration modelName will be appended with iteration e.g.{modelName}_{i}.
    trainingComputeBinding Property Map
    The compute designated for training.
    mlAssistEnabled Boolean
    Indicates whether MLAssist feature is enabled.
    prelabelAccuracyThreshold Number
    Prelabel accuracy threshold used in MLAssist feature.

    MediaType, MediaTypeArgs

    Image
    Image
    Text
    Text
    MediaTypeImage
    Image
    MediaTypeText
    Text
    Image
    Image
    Text
    Text
    Image
    Image
    Text
    Text
    IMAGE
    Image
    TEXT
    Text
    "Image"
    Image
    "Text"
    Text

    ProgressMetricsResponse, ProgressMetricsResponseArgs

    CompletedDatapointCount double
    The completed datapoint count.
    IncrementalDatasetLastRefreshTime string
    The time of last successful incremental dataset refresh in UTC.
    SkippedDatapointCount double
    The skipped datapoint count.
    TotalDatapointCount double
    The total datapoint count.
    CompletedDatapointCount float64
    The completed datapoint count.
    IncrementalDatasetLastRefreshTime string
    The time of last successful incremental dataset refresh in UTC.
    SkippedDatapointCount float64
    The skipped datapoint count.
    TotalDatapointCount float64
    The total datapoint count.
    completedDatapointCount Double
    The completed datapoint count.
    incrementalDatasetLastRefreshTime String
    The time of last successful incremental dataset refresh in UTC.
    skippedDatapointCount Double
    The skipped datapoint count.
    totalDatapointCount Double
    The total datapoint count.
    completedDatapointCount number
    The completed datapoint count.
    incrementalDatasetLastRefreshTime string
    The time of last successful incremental dataset refresh in UTC.
    skippedDatapointCount number
    The skipped datapoint count.
    totalDatapointCount number
    The total datapoint count.
    completed_datapoint_count float
    The completed datapoint count.
    incremental_dataset_last_refresh_time str
    The time of last successful incremental dataset refresh in UTC.
    skipped_datapoint_count float
    The skipped datapoint count.
    total_datapoint_count float
    The total datapoint count.
    completedDatapointCount Number
    The completed datapoint count.
    incrementalDatasetLastRefreshTime String
    The time of last successful incremental dataset refresh in UTC.
    skippedDatapointCount Number
    The skipped datapoint count.
    totalDatapointCount Number
    The total datapoint count.

    StatusMessageResponse, StatusMessageResponseArgs

    Code string
    Service-defined message code.
    CreatedTimeUtc string
    Time in UTC at which the message was created.
    Level string
    Severity level of the status message.
    Message string
    A human-readable representation of the message code.
    Code string
    Service-defined message code.
    CreatedTimeUtc string
    Time in UTC at which the message was created.
    Level string
    Severity level of the status message.
    Message string
    A human-readable representation of the message code.
    code String
    Service-defined message code.
    createdTimeUtc String
    Time in UTC at which the message was created.
    level String
    Severity level of the status message.
    message String
    A human-readable representation of the message code.
    code string
    Service-defined message code.
    createdTimeUtc string
    Time in UTC at which the message was created.
    level string
    Severity level of the status message.
    message string
    A human-readable representation of the message code.
    code str
    Service-defined message code.
    created_time_utc str
    Time in UTC at which the message was created.
    level str
    Severity level of the status message.
    message str
    A human-readable representation of the message code.
    code String
    Service-defined message code.
    createdTimeUtc String
    Time in UTC at which the message was created.
    level String
    Severity level of the status message.
    message String
    A human-readable representation of the message code.

    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

    Import

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

    $ pulumi import azure-native:machinelearningservices:LabelingJob testLabelingJob /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/workspace-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/labelingJobs/testLabelingJob

    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