Provides implementations of standard transformations like binning, scaling, taking logs and exponents.
ClassDescriptionA Transformation which bins values.Provenance for
BinningTransformation.The implementation of a
Transformerwhich splits the input into n bins.The allowed binning types.A feature transformation that computes the IDF for features and then transforms them with a TF-IDF weighting.Provenance for
IDFTransformation.A Transformation which takes an observed distribution and rescales it so all values are between the desired min and max.Provenance for
LinearScalingTransformation.A Transformation which takes an observed distribution and rescales it so it has the desired mean and standard deviation.Provenance for
MeanStdDevTransformation.This is used for stateless functions such as exp, log, addition or multiplication by a constant.Operations understood by this Transformation.Provenance for