pulumi-azure-native-kotlin/com.pulumi.azurenative.machinelearningservices.kotlin/FeaturesetVersionArgs

FeaturesetVersionArgs

data class FeaturesetVersionArgs(val featuresetVersionProperties: Output<FeaturesetVersionArgs>? = null, val name: Output<String>? = null, val resourceGroupName: Output<String>? = null, val version: Output<String>? = null, val workspaceName: Output<String>? = null) : ConvertibleToJava<FeaturesetVersionArgs>

Azure Resource Manager resource envelope. Azure REST API version: 2023-04-01-preview. Other available API versions: 2023-06-01-preview, 2023-08-01-preview, 2023-10-01.

Example Usage

CreateOrUpdate Workspace Featureset Version.

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var featuresetVersion = new AzureNative.MachineLearningServices.FeaturesetVersion("featuresetVersion", new()
    {
        FeaturesetVersionProperties = new AzureNative.MachineLearningServices.Inputs.FeaturesetVersionArgs
        {
            Description = "string",
            Entities = new[]
            {
                "string",
            },
            IsAnonymous = false,
            IsArchived = false,
            MaterializationSettings = new AzureNative.MachineLearningServices.Inputs.MaterializationSettingsArgs
            {
                Notification = new AzureNative.MachineLearningServices.Inputs.NotificationSettingArgs
                {
                    EmailOn = new[]
                    {
                        "JobFailed",
                    },
                    Emails = new[]
                    {
                        "string",
                    },
                },
                Resource = new AzureNative.MachineLearningServices.Inputs.MaterializationComputeResourceArgs
                {
                    InstanceType = "string",
                },
                Schedule =
                {
                    { "endTime", "string" },
                    { "frequency", "Day" },
                    { "interval", 1 },
                    { "schedule", new AzureNative.MachineLearningServices.Inputs.RecurrenceScheduleArgs
                    {
                        Hours = new[]
                        {
                            1,
                        },
                        Minutes = new[]
                        {
                            1,
                        },
                        MonthDays = new[]
                        {
                            1,
                        },
                        WeekDays = new[]
                        {
                            "Monday",
                        },
                    } },
                    { "startTime", "string" },
                    { "timeZone", "string" },
                    { "triggerType", "Recurrence" },
                },
                SparkConfiguration =
                {
                    { "string", "string" },
                },
                StoreType = "Online",
            },
            Properties =
            {
                { "string", "string" },
            },
            Specification = new AzureNative.MachineLearningServices.Inputs.FeaturesetSpecificationArgs
            {
                Path = "string",
            },
            Stage = "string",
            Tags =
            {
                { "string", "string" },
            },
        },
        Name = "string",
        ResourceGroupName = "test-rg",
        Version = "string",
        WorkspaceName = "my-aml-workspace",
    });
});
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package main
import (
	"github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := machinelearningservices.NewFeaturesetVersion(ctx, "featuresetVersion", &machinelearningservices.FeaturesetVersionArgs{
FeaturesetVersionProperties: machinelearningservices.FeaturesetVersionResponse{
Description: pulumi.String("string"),
Entities: pulumi.StringArray{
pulumi.String("string"),
},
IsAnonymous: pulumi.Bool(false),
IsArchived: pulumi.Bool(false),
MaterializationSettings: interface{}{
Notification: &machinelearningservices.NotificationSettingArgs{
EmailOn: pulumi.StringArray{
pulumi.String("JobFailed"),
},
Emails: pulumi.StringArray{
pulumi.String("string"),
},
},
Resource: &machinelearningservices.MaterializationComputeResourceArgs{
InstanceType: pulumi.String("string"),
},
Schedule: interface{}{
EndTime: pulumi.String("string"),
Frequency: pulumi.String("Day"),
Interval: pulumi.Int(1),
Schedule: &machinelearningservices.RecurrenceScheduleArgs{
Hours: pulumi.IntArray{
pulumi.Int(1),
},
Minutes: pulumi.IntArray{
pulumi.Int(1),
},
MonthDays: pulumi.IntArray{
pulumi.Int(1),
},
WeekDays: pulumi.StringArray{
pulumi.String("Monday"),
},
},
StartTime: pulumi.String("string"),
TimeZone: pulumi.String("string"),
TriggerType: pulumi.String("Recurrence"),
},
SparkConfiguration: pulumi.StringMap{
"string": pulumi.String("string"),
},
StoreType: pulumi.String("Online"),
},
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
Specification: &machinelearningservices.FeaturesetSpecificationArgs{
Path: pulumi.String("string"),
},
Stage: pulumi.String("string"),
Tags: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
Name: pulumi.String("string"),
ResourceGroupName: pulumi.String("test-rg"),
Version: pulumi.String("string"),
WorkspaceName: pulumi.String("my-aml-workspace"),
})
if err != nil {
return err
}
return nil
})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.FeaturesetVersion;
import com.pulumi.azurenative.machinelearningservices.FeaturesetVersionArgs;
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 featuresetVersion = new FeaturesetVersion("featuresetVersion", FeaturesetVersionArgs.builder()
            .featuresetVersionProperties(Map.ofEntries(
                Map.entry("description", "string"),
                Map.entry("entities", "string"),
                Map.entry("isAnonymous", false),
                Map.entry("isArchived", false),
                Map.entry("materializationSettings", Map.ofEntries(
                    Map.entry("notification", Map.ofEntries(
                        Map.entry("emailOn", "JobFailed"),
                        Map.entry("emails", "string")
                    )),
                    Map.entry("resource", Map.of("instanceType", "string")),
                    Map.entry("schedule", Map.ofEntries(
                        Map.entry("endTime", "string"),
                        Map.entry("frequency", "Day"),
                        Map.entry("interval", 1),
                        Map.entry("schedule", Map.ofEntries(
                            Map.entry("hours", 1),
                            Map.entry("minutes", 1),
                            Map.entry("monthDays", 1),
                            Map.entry("weekDays", "Monday")
                        )),
                        Map.entry("startTime", "string"),
                        Map.entry("timeZone", "string"),
                        Map.entry("triggerType", "Recurrence")
                    )),
                    Map.entry("sparkConfiguration", Map.of("string", "string")),
                    Map.entry("storeType", "Online")
                )),
                Map.entry("properties", Map.of("string", "string")),
                Map.entry("specification", Map.of("path", "string")),
                Map.entry("stage", "string"),
                Map.entry("tags", Map.of("string", "string"))
            ))
            .name("string")
            .resourceGroupName("test-rg")
            .version("string")
            .workspaceName("my-aml-workspace")
            .build());
    }
}
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Import

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

$ pulumi import azure-native:machinelearningservices:FeaturesetVersion string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/featuresets/{name}/versions/{version}
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Constructors

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fun FeaturesetVersionArgs(featuresetVersionProperties: Output<FeaturesetVersionArgs>? = null, name: Output<String>? = null, resourceGroupName: Output<String>? = null, version: Output<String>? = null, workspaceName: Output<String>? = null)

Functions

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open override fun toJava(): FeaturesetVersionArgs

Properties

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val featuresetVersionProperties: Output<FeaturesetVersionArgs>? = null

Required Additional attributes of the entity.

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val name: Output<String>? = null

Container name. This is case-sensitive.

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val resourceGroupName: Output<String>? = null

The name of the resource group. The name is case insensitive.

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val version: Output<String>? = null

Version identifier. This is case-sensitive.

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val workspaceName: Output<String>? = null

Name of Azure Machine Learning workspace.