public void AddTrainingData()
{
var predictor = new AggregateKNNCorrelationPredictor(2, 3, 0.1, new EEGDataType[] { EEGDataType.ALPHA_ABSOLUTE });
var trainingData = new EEGEvent[][] {
new EEGEvent[] { new EEGEvent(DateTime.UtcNow, EEGDataType.ALPHA_ABSOLUTE, new double[] { 1, 1 }) },
};
predictor.AddTrainingData(1, trainingData[0]);
}
public void CTDRaceCondition()
{
var ctdPredictor = new RaceCondTestPredictor(2, 3, 0.1, new EEGDataType[] { EEGDataType.ALPHA_ABSOLUTE });
var trainingData = new EEGEvent[][] {
new EEGEvent[] { new EEGEvent(DateTime.UtcNow, EEGDataType.ALPHA_ABSOLUTE, new double[] { 1, 1 }) }
};
for (int i = 0; i < 5; i++)
{
ctdPredictor.AddTrainingData(1, trainingData[0]);
}
Exception lastException = null;
ThreadStart t1Method = delegate {
try {
var p = ctdPredictor.Predict(trainingData[0]);
Assert.AreEqual(Predictor.NO_PREDICTION, p, "Should return a null prediction on case of clear during prediction");
} catch (Exception e) {
lastException = e;
}
};
ThreadStart t2Method = delegate {
try {
while (!ctdPredictor.isPredicting)
{
}
ctdPredictor.ClearTrainingData();
ctdPredictor.canceled = true;
} catch (Exception e) {
lastException = e;
}
};
var t1 = new Thread(t1Method);
var t2 = new Thread(t2Method);
t1.Start();
t2.Start();
t1.Join();
t2.Join();
if (lastException != null)
{
throw lastException;
}
}
void HandleConnStatus(EEGEvent evt)
{
messageReceived = true;
connectStatus = evt.data;
}
