public bool TrainModel(string dbFileName)
{
var dataFileName = $"{dbFileName}.csv";
var modelFileName = "jcids.mdl";
var networkData = new NetworkDeviceManager().ToCSV();
File.WriteAllText(dataFileName, networkData);
var textReader = MlContext.Data.LoadFromTextFile(dataFileName);
var pipeline = MlContext.Transforms.Text.FeaturizeText("Content", "Features")
.Append(MlContext.BinaryClassification.Trainers.FastTree(numLeaves: 2, numTrees: 10, minDatapointsInLeaves: 1));
var trainedModel = pipeline.Fit(textReader);
using (var fs = File.Create(modelFileName))
{
trainedModel.SaveTo(MlContext, fs);
}
return(true);
}
public DevicesController(NetworkDeviceManager deviceManager)
{
_deviceManager = deviceManager;
}
