Uses of Interface
org.nd4j.linalg.dataset.api.preprocessor.MultiDataNormalization

Packages that use MultiDataNormalization

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

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

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

Modifier and Type	Class and Description
class	AbstractMultiDataSetNormalizer<S extends NormalizerStats> Abstract base class for normalizers that act upon MultiDataSet instances or iterators
class	ImageMultiPreProcessingScaler A preprocessor specifically for images that applies min max scaling to one or more of the feature arrays in a MultiDataSet. Can take a range, so pixel values can be scaled from 0->255 to minRange->maxRange default minRange = 0 and maxRange = 1; If pixel values are not 8 bits, you can specify the number of bits as the third argument in the constructor For values that are already floating point, specify the number of bits as 1
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