/// <summary>
/// Converts a time series training data set into something that looks
/// like a normal data set with some number of inputs.
/// </summary>
/// <returns>Read the summary section</returns>
private GPTrainingData ConvertTSToModeling(int InputDimension, int PredictionDistance)
{
GPTrainingData TSTraining = new GPTrainingData();
TSTraining.TimeSeriesSource = true;
//
// The number of rows is the number of rows in the Training
// set minus the input dimension and the prediction distance. We subtract this off
// because we can't predict anything before the first 'n' input values.
int Rows = Training.Rows - InputDimension - PredictionDistance + 1;
TSTraining.ConstructStorage(Rows, InputDimension, 1);
//
// Now, put together the rows of input data and the objective for each
// of these rows.
for (int Row = 0; Row < Rows; Row++)
{
//
// Set the inputs
for (int Column = 0; Column < InputDimension; Column++)
{
TSTraining[Row, Column] = Training[Row + Column, 0];
}
//
// Set the objective
TSTraining.ObjectiveRow(Row)[0] = Training[Row + InputDimension + PredictionDistance - 1, 0];
}
return(TSTraining);
}
/// <summary>
/// Manages importing the data into the database
/// </summary>
/// <param name="Filename"></param>
/// <param name="DelInit"></param>
/// <param name="DelIncrement"></param>
/// <param name="TempData"></param>
/// <returns></returns>
private bool ImportToDB(String Filename, DELInitProgress DelInit, DELIncrementProgress DelIncrement, List <List <double> > TempData)
{
//
// Create the internal array and get the Training copied into it. We
// currently support a single objective, so a 1 for the last param.
m_Training.ConstructStorage(TempData.Count, TempData[0].Count - 1, 1);
for (int Row = 0; Row < TempData.Count; Row++)
{
//
// Copy the values in
for (int Column = 0; Column < (TempData[0].Count - 1); Column++)
{
m_Training[Row, Column] = TempData[Row][Column];
}
m_Training.ObjectiveRow(Row)[0] = TempData[Row][TempData[Row].Count - 1];
}
//
// Decide if this is a time series file (single column)
if (TempData[0].Count == 1)
{
this.TimeSeries = true;
}
else
{
this.TimeSeries = false;
}
//
// Have the UI prepare itself
DelInit(this.Rows);
//
// Import this Training into the database - Let the user know the records
// are being imported, that's what the 'DelIncrement' delegate is for.
String[] FileParts = Filename.Split('\\');
ImportDataToDB(FileParts[FileParts.Length - 1], Filename, DelIncrement);
this.Name = FileParts[FileParts.Length - 1];
this.Description = Filename;
return(true);
}