/// <summary>
/// Normalise the data points in this set according to a data normaliser. If the data
/// normaliser has not been fit to this set, that will be done automatically.
/// </summary>
/// <param name="dataNormaliser"></param>
public void NormaliseBy(IDataNormaliser dataNormaliser)
{
if (!dataNormaliser.HasBeenFit())
{
dataNormaliser.Fit(this.GetWholeSet());
}
foreach (DataPoint dataPoint in GetWholeSet())
{
dataNormaliser.Normalise(dataPoint);
}
}
/// <summary>
/// Denormalise the data points in this set according to a data normaliser. If the data
/// normaliser has not been fit, this will throw an error; it makes no sense to fit a model
/// to data, then immediately denormalise them according to it.
/// </summary>
/// <param name="dataNormaliser"></param>
public void DenormaliseBy(IDataNormaliser dataNormaliser)
{
if (!dataNormaliser.HasBeenFit())
{
throw new OperationCanceledException(
"Cannot denormalise data according to a normaliser that has not been fit.");
}
foreach (DataPoint dataPoint in GetWholeSet())
{
dataNormaliser.Denormalise(dataPoint);
}
}
