public List <AnomalyRecord> GetADResults()
{
var rowDelim = ";";
var colDelim = ",";
var rows = table.Split(new string[] { rowDelim }, StringSplitOptions.RemoveEmptyEntries);
List <AnomalyRecord> series = new List <AnomalyRecord>();
for (int i = 0; i < rows.Length; i++)
{
var row = rows[i].Replace("\"", "").Trim();
if (i == 0 || row.Length == 0)
{
continue; // ignore headers and empty rows
}
var cols = row.Split(new string[] { colDelim }, StringSplitOptions.RemoveEmptyEntries);
series.Add(AnomalyRecord.Parse(cols));
}
return(series);
}
private static string OutputResults(string from, SensorDataContract sensorMeta, AnomalyRecord alert)
{
return(JsonConvert.SerializeObject(
new
{
guid = sensorMeta.Guid,
displayname = sensorMeta.DisplayName,
measurename = sensorMeta.MeasureName,
unitofmeasure = sensorMeta.UnitOfMeasure,
location = sensorMeta.Location,
organization = sensorMeta.Organization,
timecreated = alert.Time.ToLocalTime(),
value = alert.Data,
alerttype = "MLModelAlert",
message = "Anomaly detected by Machine Learning model."
}));
}