Sample code to train a Multivariate Anomaly Detector model

mvad-train.cs

string Train(AnomalyDetectorClient client, string dataSource, DateTimeOffset startTime, DateTimeOffset endTime, int maxTryout = 500)
{
    var modelInfo = new ModelInfo(
       dataSource,
       startTime,
       endTime);

    AnomalyDetectionModel model = client.TrainMultivariateModel(modelInfo);
    var modelId = model.ModelId;

    // Wait until the model is ready. It usually takes several minutes
    var modelStatus = model.ModelInfo.Status;
    int tryoutCount = 0;
    while (tryoutCount < maxTryout && modelStatus != ModelStatus.Ready && modelStatus != ModelStatus.Failed)
    {
        Thread.Sleep(5000);
        model = client.GetMultivariateModel(modelId);
        modelStatus = model.ModelInfo.Status;
        tryoutCount++;
    }

    if (model.ModelInfo.Status == ModelStatus.Failed) {
        Console.WriteLine("Model training failed: {0} - {1}", 
            model.ModelInfo.Errors[0].Code, model.ModelInfo.Errors[0].Message);
        return null;
    }
    
    return modelId;
}