Featureset
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. Uses Azure REST API version 2024-10-01. In version 2.x of the Azure Native provider, it used API version 2023-04-01-preview. Other available API versions: 2023-02-01-preview, 2023-04-01-preview, 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-07-01-preview, 2024-10-01-preview, 2025-01-01-preview. These can be accessed by generating a local SDK package using the CLI command pulumi package add azure-native machinelearningservices [ApiVersion]. See the ../../../version-guide/#accessing-any-api-version-via-local-packages for details.
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[]
{
AzureNative.MachineLearningServices.EmailNotificationEnableType.JobFailed,
},
Emails = new[]
{
"string",
},
},
Resource = new AzureNative.MachineLearningServices.Inputs.MaterializationComputeResourceArgs
{
InstanceType = "string",
},
Schedule = new AzureNative.MachineLearningServices.Inputs.RecurrenceTriggerArgs
{
EndTime = "string",
Frequency = AzureNative.MachineLearningServices.RecurrenceFrequency.Day,
Interval = 1,
Schedule = new AzureNative.MachineLearningServices.Inputs.RecurrenceScheduleArgs
{
Hours = new[]
{
1,
},
Minutes = new[]
{
1,
},
MonthDays = new[]
{
1,
},
WeekDays = new[]
{
AzureNative.MachineLearningServices.WeekDay.Monday,
},
},
StartTime = "string",
TimeZone = "string",
TriggerType = "Recurrence",
},
SparkConfiguration =
{
{ "string", "string" },
},
StoreType = AzureNative.MachineLearningServices.MaterializationStoreType.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",
});
});Content copied to clipboard
package main
import (
machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v3"
"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.FeaturesetVersionTypeArgs{
Description: pulumi.String("string"),
Entities: pulumi.StringArray{
pulumi.String("string"),
},
IsAnonymous: pulumi.Bool(false),
IsArchived: pulumi.Bool(false),
MaterializationSettings: &machinelearningservices.MaterializationSettingsArgs{
Notification: &machinelearningservices.NotificationSettingArgs{
EmailOn: pulumi.StringArray{
pulumi.String(machinelearningservices.EmailNotificationEnableTypeJobFailed),
},
Emails: pulumi.StringArray{
pulumi.String("string"),
},
},
Resource: &machinelearningservices.MaterializationComputeResourceArgs{
InstanceType: pulumi.String("string"),
},
Schedule: &machinelearningservices.RecurrenceTriggerArgs{
EndTime: pulumi.String("string"),
Frequency: pulumi.String(machinelearningservices.RecurrenceFrequencyDay),
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(machinelearningservices.WeekDayMonday),
},
},
StartTime: pulumi.String("string"),
TimeZone: pulumi.String("string"),
TriggerType: pulumi.String("Recurrence"),
},
SparkConfiguration: pulumi.StringMap{
"string": pulumi.String("string"),
},
StoreType: pulumi.String(machinelearningservices.MaterializationStoreTypeOnline),
},
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
})
}Content copied to clipboard
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.inputs.MaterializationSettingsArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.NotificationSettingArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.MaterializationComputeResourceArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.RecurrenceTriggerArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.RecurrenceScheduleArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.FeaturesetSpecificationArgs;
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(FeaturesetVersionArgs.builder()
.description("string")
.entities("string")
.isAnonymous(false)
.isArchived(false)
.materializationSettings(MaterializationSettingsArgs.builder()
.notification(NotificationSettingArgs.builder()
.emailOn("JobFailed")
.emails("string")
.build())
.resource(MaterializationComputeResourceArgs.builder()
.instanceType("string")
.build())
.schedule(Map.ofEntries(
Map.entry("endTime", "string"),
Map.entry("frequency", "Day"),
Map.entry("interval", 1),
Map.entry("schedule", RecurrenceScheduleArgs.builder()
.hours(1)
.minutes(1)
.monthDays(1)
.weekDays("Monday")
.build()),
Map.entry("startTime", "string"),
Map.entry("timeZone", "string"),
Map.entry("triggerType", "Recurrence")
))
.sparkConfiguration(Map.of("string", "string"))
.storeType("Online")
.build())
.properties(Map.of("string", "string"))
.specification(FeaturesetSpecificationArgs.builder()
.path("string")
.build())
.stage("string")
.tags(Map.of("string", "string"))
.build())
.name("string")
.resourceGroupName("test-rg")
.version("string")
.workspaceName("my-aml-workspace")
.build());
}
}Content copied to clipboard
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}Content copied to clipboard
Constructors
Link copied to clipboard
constructor(featuresetVersionProperties: Output<FeaturesetVersionArgs>? = null, name: Output<String>? = null, resourceGroupName: Output<String>? = null, version: Output<String>? = null, workspaceName: Output<String>? = null)