private static double[,] GetData(IDataset ds, IEnumerable <string> allowedInputs, IEnumerable <int> rows, Scaling scaling)
{
if (scaling != null)
{
// BackwardsCompatibility3.3
#region Backwards compatible code, remove with 3.4
// TODO: completely remove Scaling class
List <string> variablesList = allowedInputs.ToList();
List <int> rowsList = rows.ToList();
double[,] matrix = new double[rowsList.Count, variablesList.Count];
int col = 0;
foreach (string column in variablesList)
{
var values = scaling.GetScaledValues(ds, column, rowsList);
int row = 0;
foreach (var value in values)
{
matrix[row, col] = value;
row++;
}
col++;
}
return(matrix);
#endregion
}
else
{
return(ds.ToArray(allowedInputs, rows));
}
}
public static double[,] PrepareAndScaleInputMatrix(IDataset dataset, IEnumerable<string> variables, IEnumerable<int> rows, Scaling scaling) {
List<string> variablesList = variables.ToList();
List<int> rowsList = rows.ToList();
double[,] matrix = new double[rowsList.Count, variablesList.Count];
int col = 0;
foreach (string column in variables) {
var values = scaling.GetScaledValues(dataset, column, rows);
int row = 0;
foreach (var value in values) {
matrix[row, col] = value;
row++;
}
col++;
}
return matrix;
}
public static double[,] PrepareAndScaleInputMatrix(IDataset dataset, IEnumerable <string> variables, IEnumerable <int> rows, Scaling scaling)
{
List <string> variablesList = variables.ToList();
List <int> rowsList = rows.ToList();
double[,] matrix = new double[rowsList.Count, variablesList.Count];
int col = 0;
foreach (string column in variables)
{
var values = scaling.GetScaledValues(dataset, column, rows);
int row = 0;
foreach (var value in values)
{
matrix[row, col] = value;
row++;
}
col++;
}
return(matrix);
}
