public IMLDataSet GenerateTraining()
{
var result = new TemporalMLDataSet(WindowSize, 1);
var desc = new TemporalDataDescription(TemporalDataDescription.Type.Raw, true, true);
result.AddDescription(desc);
for (int year = TrainStart; year < TrainEnd; year++)
{
var point = new TemporalPoint(1)
{
Sequence = year
};
point.Data[0] = _normalizedSunspots[year];
result.Points.Add(point);
}
result.Generate();
return(result);
}
public IMLDataSet GenerateTraining()
{
var result = new TemporalMLDataSet(WindowSize, 1);
var desc = new TemporalDataDescription(
TemporalDataDescription.Type.Raw, true, true);
result.AddDescription(desc);
for (int day = TrainStart; day < TrainEnd; day++)
{
var point = new TemporalPoint(1)
{
Sequence = day,
Data = { [0] = _normalizedArray[day] }
};
result.Points.Add(point);
}
result.Generate();
return(result);
}
public IMLDataSet GenerateTraining(double[] normalizedData)
{
var result = new TemporalMLDataSet(WindowSize, 1);
TemporalDataDescription desc = new TemporalDataDescription(TemporalDataDescription.Type.Raw, true, true);
result.AddDescription(desc);
int TrainStart = 0;
int TrainEnd = normalizedData.Length;
for (int index = TrainStart; index < TrainEnd; index++)
{
TemporalPoint point = new TemporalPoint(1)
{
Sequence = index
};
point.Data[0] = normalizedData[index];
result.Points.Add(point);
}
result.Generate();
return(result);
}
