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

Class NormalizerStandardize

java.lang.Object

org.nd4j.linalg.dataset.api.preprocessor.AbstractNormalizer

org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer<DistributionStats>

org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

All Implemented Interfaces:

Serializable, DataSetPreProcessor, DataNormalization, Normalizer<DataSet>

public class NormalizerStandardize
extends AbstractDataSetNormalizer<DistributionStats>

See Also:

Serialized Form

Field Summary

Fields inherited from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

strategy

Constructor Summary

Constructors

Constructor	Description
NormalizerStandardize()
NormalizerStandardize(@NonNull INDArray featureMean, @NonNull INDArray featureStd)
NormalizerStandardize(@NonNull INDArray featureMean, @NonNull INDArray featureStd, @NonNull INDArray labelMean, @NonNull INDArray labelStd)

Method Summary

Modifier and Type	Method	Description
INDArray	getLabelMean()
INDArray	getLabelStd()
INDArray	getMean()
INDArray	getStd()
NormalizerType	getType()	Get the enum opType of this normalizer
void	load(File... files)	Load the means and standard deviations from the file system
protected NormalizerStats.Builder	newBuilder()
void	save(File... files)	Deprecated. use NormalizerSerializer instead
void	setLabelStats(@NonNull INDArray labelMean, @NonNull INDArray labelStd)

Methods inherited from class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer

fit, fit, fitLabel, getFeatureStats, getLabelStats, isFit, isFitLabel, preProcess, revert, revertFeatures, revertFeatures, revertLabels, revertLabels, transform, transform, transform, transformLabel, transformLabel

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

NormalizerStandardize

public NormalizerStandardize(@NonNull
                             @NonNull INDArray featureMean,
                             @NonNull
                             @NonNull INDArray featureStd)

NormalizerStandardize

public NormalizerStandardize(@NonNull
                             @NonNull INDArray featureMean,
                             @NonNull
                             @NonNull INDArray featureStd,
                             @NonNull
                             @NonNull INDArray labelMean,
                             @NonNull
                             @NonNull INDArray labelStd)

NormalizerStandardize

public NormalizerStandardize()

Method Detail

setLabelStats

public void setLabelStats(@NonNull
                          @NonNull INDArray labelMean,
                          @NonNull
                          @NonNull INDArray labelStd)

getMean

public INDArray getMean()

getLabelMean

public INDArray getLabelMean()

getStd

public INDArray getStd()

getLabelStd

public INDArray getLabelStd()

load

public void load(File... files)
          throws IOException

Load the means and standard deviations from the file system

Parameters:

files - the files to load from. Needs 4 files if normalizing labels, otherwise 2.

Throws:

IOException

save

public void save(File... files)
          throws IOException

Deprecated.

use NormalizerSerializer instead

Save the current means and standard deviations to the file system

Parameters:

files - the files to save to. Needs 4 files if normalizing labels, otherwise 2.

Throws:

IOException

newBuilder

protected NormalizerStats.Builder newBuilder()

Specified by:

newBuilder in class AbstractDataSetNormalizer<DistributionStats>

getType

public NormalizerType getType()

Description copied from interface: Normalizer

Get the enum opType of this normalizer

Returns:

the opType

See Also:

NormalizerSerializerStrategy.getSupportedType()