/**
* <summary> Constructor for normalize feature filter. It calculates and stores the mean (m) and standard deviation (s) of
* the sample.</summary>
*
* <param name="dataSet">Instances whose continuous attribute values will be normalized.</param>
*/
public Normalize(DataSet.DataSet dataSet) : base(dataSet)
{
_averageInstance = dataSet.GetInstanceList().Average();
_standardDeviationInstance = dataSet.GetInstanceList().StandardDeviation();
}
/**
* <summary> Constructor that sets the dataSet and all the attributes distributions.</summary>
*
* <param name="dataSet">DataSet that will be used.</param>
*/
public LaryFilter(DataSet.DataSet dataSet) : base(dataSet)
{
attributeDistributions = dataSet.GetInstanceList().AllAttributesDistribution();
}