Uses of Interface
org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor

Packages that use MultiDataSetPreProcessor

Package	Description
org.nd4j.linalg.dataset.api.iterator
org.nd4j.linalg.dataset.api.preprocessor
org.nd4j.linalg.dataset.api.preprocessor.classimbalance

Uses of MultiDataSetPreProcessor in org.nd4j.linalg.dataset.api.iterator

Methods in org.nd4j.linalg.dataset.api.iterator that return MultiDataSetPreProcessor

Modifier and Type	Method and Description
MultiDataSetPreProcessor	TestMultiDataSetIterator.getPreProcessor()
MultiDataSetPreProcessor	MultiDataSetIterator.getPreProcessor() Get the MultiDataSetPreProcessor, if one has previously been set.

Methods in org.nd4j.linalg.dataset.api.iterator with parameters of type MultiDataSetPreProcessor

Modifier and Type	Method and Description
void	TestMultiDataSetIterator.setPreProcessor(MultiDataSetPreProcessor preProcessor)
void	MultiDataSetIterator.setPreProcessor(MultiDataSetPreProcessor preProcessor) Set the preprocessor to be applied to each MultiDataSet, before each MultiDataSet is returned.

Uses of MultiDataSetPreProcessor in org.nd4j.linalg.dataset.api.preprocessor

Subinterfaces of MultiDataSetPreProcessor in org.nd4j.linalg.dataset.api.preprocessor

Modifier and Type	Interface and Description
interface	MultiDataNormalization An interface for multi dataset normalizers.

Classes in org.nd4j.linalg.dataset.api.preprocessor that implement MultiDataSetPreProcessor

Modifier and Type	Class and Description
class	AbstractMultiDataSetNormalizer<S extends NormalizerStats> Abstract base class for normalizers that act upon MultiDataSet instances or iterators
class	MultiNormalizerHybrid Pre processor for MultiDataSet that can be configured to use different normalization strategies for different inputs and outputs, or none at all.
class	MultiNormalizerMinMaxScaler Pre processor for MultiDataSet that normalizes feature values (and optionally label values) to lie between a minimum and maximum value (by default between 0 and 1)
class	MultiNormalizerStandardize Pre processor for MultiDataSet that normalizes feature values (and optionally label values) to have 0 mean and a standard deviation of 1

Uses of MultiDataSetPreProcessor in org.nd4j.linalg.dataset.api.preprocessor.classimbalance

Classes in org.nd4j.linalg.dataset.api.preprocessor.classimbalance that implement MultiDataSetPreProcessor

Modifier and Type	Class and Description
class	UnderSamplingByMaskingMultiDataSetPreProcessor The multidataset version of the UnderSamplingByMaskingPreProcessor Constructor takes a map - keys are indices of the multidataset to apply preprocessor to, values are the target distributions