internal static JobBaseResourceArmPaginatedResult DeserializeJobBaseResourceArmPaginatedResult(JsonElement element)
{
Optional <string> nextLink = default;
Optional <IReadOnlyList <MachineLearningJobData> > value = default;
foreach (var property in element.EnumerateObject())
{
if (property.NameEquals("nextLink"))
{
nextLink = property.Value.GetString();
continue;
}
if (property.NameEquals("value"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
property.ThrowNonNullablePropertyIsNull();
continue;
}
List <MachineLearningJobData> array = new List <MachineLearningJobData>();
foreach (var item in property.Value.EnumerateArray())
{
array.Add(MachineLearningJobData.DeserializeMachineLearningJobData(item));
}
value = array;
continue;
}
}
return(new JobBaseResourceArmPaginatedResult(nextLink.Value, Optional.ToList(value)));
}
static async Task Main(
string subscriptionId = "48bbc269-ce89-4f6f-9a12-c6f91fcb772d",
string resourceGroupName = "aml1p-rg",
string workspaceName = "aml1p-ml-wus2",
string clusterName = "cpucluster"
)
{
// https://github.com/Azure/azure-sdk-for-net/blob/main/doc/dev/mgmt_quickstart.md
var credential = new DefaultAzureCredential();
var armClient = new ArmClient(credential);
var subscription = armClient.GetSubscriptionResource(new ResourceIdentifier($"/subscriptions/{subscriptionId}"));
var resourceGroup = await subscription.GetResourceGroupAsync(resourceGroupName);
var workspace = await resourceGroup.Value.GetMachineLearningWorkspaceAsync(workspaceName);
var mlFlow = workspace.Value.Data.MlFlowTrackingUri;
Console.WriteLine($"MLFlow tracking URI: {mlFlow}");
var jobs = workspace.Value.GetMachineLearningJobs();
foreach (var job in jobs.Take(2))
{
var props = job.Data.Properties;
Console.WriteLine($"{props.DisplayName} ({props.Status}) == {props.Description}");
}
// https://github.com/Azure/azureml-samples-dotnet/blob/main/Program.cs
var commandJob = new CommandJob("printenv", "azureml://registries/CuratedRegistry/environments/AzureML-sklearn-1.0-ubuntu20.04-py38-cpu/versions/23")
{
ComputeId = $"{workspace.Value.Id}/computes/{clusterName}",
ExperimentName = "danmill-csharp"
};
var jobData = new MachineLearningJobData(commandJob);
var jobOperation = await jobs.CreateOrUpdateAsync(WaitUntil.Completed, Guid.NewGuid().ToString(), jobData);
var jobResource = jobOperation.Value;
Console.WriteLine($"Created job {jobResource.Data.Id}.");
}
