private SignalClassifierController.PredictionResult predictFrame(
IEnumerable <IEnumerable <short> > frame, int frameSize, SignalClassifierController classifier, int sensorQty)
{
var adjustedFrame =
Enumerable.Repeat(Enumerable.Repeat <short>(0, sensorQty), frameSize).ToArray();
var frameArray = frame.ToArray();
for (int i = 0; i < (frameArray.Length > frameSize ? adjustedFrame.Length : frameArray.Length); i++)
{
adjustedFrame[i] = frameArray[i];
}
string strFrameSize = "";
if (frameSize == 100)
{
strFrameSize = "single";
}
else if (frameSize == 200)
{
strFrameSize = "double";
}
else
{
strFrameSize = "half";
}
string sensorType = "";
if (sensorQty == 4)
{
sensorType = "four";
}
else
{
sensorType = "two";
}
return(classifier.predict(strFrameSize, sensorType, classifier.convertFrame(adjustedFrame)));
}