Schedule

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var schedule = new AzureNative.MachineLearningServices.Schedule("schedule", new()
    {
        Name = "string",
        ResourceGroupName = "test-rg",
        ScheduleProperties = new AzureNative.MachineLearningServices.Inputs.ScheduleArgs
        {
            Action = new AzureNative.MachineLearningServices.Inputs.EndpointScheduleActionArgs
            {
                ActionType = "InvokeBatchEndpoint",
                EndpointInvocationDefinition =
                {
                    { "9965593e-526f-4b89-bb36-761138cf2794", null },
                },
            },
            Description = "string",
            DisplayName = "string",
            IsEnabled = false,
            Properties =
            {
                { "string", "string" },
            },
            Tags =
            {
                { "string", "string" },
            },
            Trigger = new AzureNative.MachineLearningServices.Inputs.CronTriggerArgs
            {
                EndTime = "string",
                Expression = "string",
                StartTime = "string",
                TimeZone = "string",
                TriggerType = "Cron",
            },
        },
        WorkspaceName = "my-aml-workspace",
    });
});

package main
import (
	machinelearningservices "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.NewSchedule(ctx, "schedule", &machinelearningservices.ScheduleArgs{
			Name:              pulumi.String("string"),
			ResourceGroupName: pulumi.String("test-rg"),
			ScheduleProperties: &machinelearningservices.ScheduleTypeArgs{
				Action: machinelearningservices.EndpointScheduleAction{
					ActionType: "InvokeBatchEndpoint",
					EndpointInvocationDefinition: map[string]interface{}{
						"9965593e-526f-4b89-bb36-761138cf2794": nil,
					},
				},
				Description: pulumi.String("string"),
				DisplayName: pulumi.String("string"),
				IsEnabled:   pulumi.Bool(false),
				Properties: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
				Tags: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
				Trigger: machinelearningservices.CronTrigger{
					EndTime:     "string",
					Expression:  "string",
					StartTime:   "string",
					TimeZone:    "string",
					TriggerType: "Cron",
				},
			},
			WorkspaceName: pulumi.String("my-aml-workspace"),
		})
		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.Schedule;
import com.pulumi.azurenative.machinelearningservices.ScheduleArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.ScheduleArgs;
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 schedule = new Schedule("schedule", ScheduleArgs.builder()
            .name("string")
            .resourceGroupName("test-rg")
            .scheduleProperties(ScheduleArgs.builder()
                .action(EndpointScheduleActionArgs.builder()
                    .actionType("InvokeBatchEndpoint")
                    .endpointInvocationDefinition(Map.of("9965593e-526f-4b89-bb36-761138cf2794", null))
                    .build())
                .description("string")
                .displayName("string")
                .isEnabled(false)
                .properties(Map.of("string", "string"))
                .tags(Map.of("string", "string"))
                .trigger(CronTriggerArgs.builder()
                    .endTime("string")
                    .expression("string")
                    .startTime("string")
                    .timeZone("string")
                    .triggerType("Cron")
                    .build())
                .build())
            .workspaceName("my-aml-workspace")
            .build());
    }
}

$ pulumi import azure-native:machinelearningservices:Schedule string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/schedules/{name}