Normalizers.cs

// Performs the following operation on a vector X: Y = (X - M) / D, where M is mean and D is either L2 norm, L1 norm or LInf norm.
pipeline.Add(new LogMeanVarianceNormalizer("FeatureName"));

// Normalizes the data based on the computed mean and variance of the data.
pipeline.Add(new MeanVarianceNormalizer("FeatureName") { FixZero = true});

// Normalize the columns only if needed.
pipeline.Add(new ConditionalNormalizer("FeatureName"));

// The values are assigned into equidensity bins and a value is mapped to its bin_number/ number_of_bins.
pipeline.Add(new BinNormalizer("FeatureName") { NumBins = 2});