org.nd4j.linalg.dataset.api.preprocessor

Interface Normalizer<T>

All Known Subinterfaces:

DataNormalization, MultiDataNormalization

All Known Implementing Classes:

AbstractDataSetNormalizer, AbstractMultiDataSetNormalizer, ImageMultiPreProcessingScaler, ImagePreProcessingScaler, MultiNormalizerHybrid, MultiNormalizerMinMaxScaler, MultiNormalizerStandardize, NormalizerMinMaxScaler, NormalizerStandardize, VGG16ImagePreProcessor

public interface Normalizer<T>

Method Summary

Modifier and Type	Method and Description
void	fit(T dataSet) Fit a dataset (only compute based on the statistics from this dataset)
NormalizerType	getType() Get the enum opType of this normalizer
void	revert(T toRevert) Undo (revert) the normalization applied by this DataNormalization instance (arrays are modified in-place)
void	transform(T toPreProcess) Transform the dataset

Method Detail

fit

void fit(T dataSet)

Fit a dataset (only compute based on the statistics from this dataset)

Parameters:

dataSet - the dataset to compute on

transform

void transform(T toPreProcess)

Transform the dataset

Parameters:

toPreProcess - the dataset to re process

revert

void revert(T toRevert)

Undo (revert) the normalization applied by this DataNormalization instance (arrays are modified in-place)

Parameters:

toRevert - DataSet to revert the normalization on

getType

NormalizerType getType()

Get the enum opType of this normalizer

Returns:

the opType

See Also:

NormalizerSerializerStrategy.getSupportedType()