org.openimaj.math.statistics.normalisation

Interface TrainableNormaliser

All Superinterfaces:

Normaliser

All Known Implementing Classes:

ZScore

public interface TrainableNormaliser
extends Normaliser

Interface for Normalisers that need to be pre-trained in order to compute relevant statistics to perform the actual normalisation operation. For example, to compute z-score's the training operation would compute the mean and variance of the data.

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Method Summary

Modifier and Type	Method and Description
void	train(double[][] data) Train the normaliser.

Methods inherited from interface org.openimaj.math.statistics.normalisation.Normaliser

normalise, normalise

Method Detail

train

void train(double[][] data)

Train the normaliser. This must be called before calling the Normaliser.normalise(double[]) or Normaliser.normalise(double[][]) methods.

Parameters:

data - the data to normalise.