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

Class MultiNormalizerStandardize

java.lang.Object

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

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

org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

All Implemented Interfaces:

Serializable, MultiDataSetPreProcessor, MultiDataNormalization, Normalizer<MultiDataSet>

public class MultiNormalizerStandardize
extends AbstractMultiDataSetNormalizer<DistributionStats>

See Also:

Serialized Form

Field Summary

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

strategy

Constructor Summary

Constructors

Constructor	Description
MultiNormalizerStandardize()

Method Summary

Modifier and Type	Method	Description
INDArray	getFeatureMean(int input)
INDArray	getFeatureStd(int input)
INDArray	getLabelMean(int output)
INDArray	getLabelStd(int output)
NormalizerType	getType()	Get the enum opType of this normalizer
void	load(@NonNull List<File> featureFiles, @NonNull List<File> labelFiles)	Load means and standard deviations from the file system
protected NormalizerStats.Builder	newBuilder()
void	save(@NonNull List<File> featureFiles, @NonNull List<File> labelFiles)	Deprecated. use MultiStandardizeSerializerStrategy instead

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

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

Methods inherited from class java.lang.Object

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

Constructor Detail

MultiNormalizerStandardize

public MultiNormalizerStandardize()

Method Detail

newBuilder

protected NormalizerStats.Builder newBuilder()

Specified by:

newBuilder in class AbstractMultiDataSetNormalizer<DistributionStats>

getFeatureMean

public INDArray getFeatureMean(int input)

getLabelMean

public INDArray getLabelMean(int output)

getFeatureStd

public INDArray getFeatureStd(int input)

getLabelStd

public INDArray getLabelStd(int output)

load

public void load(@NonNull
                 @NonNull List<File> featureFiles,
                 @NonNull
                 @NonNull List<File> labelFiles)
          throws IOException

Load means and standard deviations from the file system

Parameters:

featureFiles - source files for features, requires 2 files per input, alternating mean and stddev files

labelFiles - source files for labels, requires 2 files per output, alternating mean and stddev files

Throws:

IOException

save

public void save(@NonNull
                 @NonNull List<File> featureFiles,
                 @NonNull
                 @NonNull List<File> labelFiles)
          throws IOException

Deprecated.

use MultiStandardizeSerializerStrategy instead

Save the current means and standard deviations to the file system

Parameters:

featureFiles - target files for features, requires 2 files per input, alternating mean and stddev files

labelFiles - target files for labels, requires 2 files per output, alternating mean and stddev files

Throws:

IOException

getType

public NormalizerType getType()

Description copied from interface: Normalizer

Get the enum opType of this normalizer

Returns:

the opType

See Also:

NormalizerSerializerStrategy.getSupportedType()