/// <summary>
/// Performs feature scaling on the supplied array and returns a copy
/// </summary>
/// <param name="column">Column array to compute</param>
/// <returns></returns>
public static double[] FeatureScale(double[] column)
{
if (column == null)
{
throw new ArgumentNullException("Column was null");
}
double[] result = new double[column.Length];
double avg = column.Average();
double sdv = column.StandardDeviation(c => c, false);
for (int x = 0; x < column.Length; x++)
{
result[x] = FeatureNormalizer.FeatureScale(column[x], avg, sdv);
}
return(result);
}
/// <summary>
/// Performs feature scaling on the supplied column vector and returns a copy
/// </summary>
/// <param name="column">Column vector to compute</param>
/// <returns></returns>
public static Vector FeatureScale(Vector column)
{
double[] temp = column.ToArray();
return(new Vector(FeatureNormalizer.FeatureScale(temp)));
}
