Package org.nd4j.linalg.dataset.api.preprocessor

Interface MultiDataNormalization

All Superinterfaces:

MultiDataSetPreProcessor, Normalizer<MultiDataSet>

All Known Implementing Classes:

AbstractMultiDataSetNormalizer, ImageMultiPreProcessingScaler, MultiNormalizerHybrid, MultiNormalizerMinMaxScaler, MultiNormalizerStandardize

public interface MultiDataNormalization
extends Normalizer<MultiDataSet>, MultiDataSetPreProcessor

Method Summary

Modifier and Type	Method	Description
void	fit(MultiDataSetIterator iterator)	Iterates over a dataset accumulating statistics for normalization
void	preProcess(MultiDataSet multiDataSet)	Preprocess the MultiDataSet
void	revertFeatures(INDArray[] features)	Undo (revert) the normalization applied by this DataNormalization instance to the specified features array
void	revertFeatures(INDArray[] features, INDArray[] featuresMask)	Undo (revert) the normalization applied by this DataNormalization instance to the specified features array
void	revertLabels(INDArray[] labels)	Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.
void	revertLabels(INDArray[] labels, INDArray[] labelsMask)	Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.

Methods inherited from interface org.nd4j.linalg.dataset.api.preprocessor.Normalizer

fit, getType, revert, transform

Method Detail

fit

void fit(MultiDataSetIterator iterator)

Iterates over a dataset accumulating statistics for normalization

Parameters:

iterator - the iterator to use for collecting statistics.

preProcess

void preProcess(MultiDataSet multiDataSet)

Description copied from interface: MultiDataSetPreProcessor

Preprocess the MultiDataSet

Specified by:

preProcess in interface MultiDataSetPreProcessor

revertFeatures

void revertFeatures(INDArray[] features,
                    INDArray[] featuresMask)

Undo (revert) the normalization applied by this DataNormalization instance to the specified features array

Parameters:

features - Features to revert the normalization on

featuresMask -

revertFeatures

void revertFeatures(INDArray[] features)

Undo (revert) the normalization applied by this DataNormalization instance to the specified features array

Parameters:

features - Features to revert the normalization on

revertLabels

void revertLabels(INDArray[] labels,
                  INDArray[] labelsMask)

Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array. If labels normalization is disabled (i.e., #isFitLabel() == false) then this is a no-op. Can also be used to undo normalization for network output arrays, in the case of regression.

Parameters:

labels - Labels array to revert the normalization on

labelsMask - Labels mask array (may be null)

revertLabels

void revertLabels(INDArray[] labels)

Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array. If labels normalization is disabled (i.e., #isFitLabel() == false) then this is a no-op. Can also be used to undo normalization for network output arrays, in the case of regression.

Parameters:

labels - Labels array to revert the normalization on