Uses of Class
org.nd4j.linalg.dataset.api.preprocessor.AbstractNormalizer

Packages that use AbstractNormalizer

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

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

Subclasses of AbstractNormalizer in org.nd4j.linalg.dataset.api.preprocessor

Modifier and Type	Class and Description
class	AbstractDataSetNormalizer<S extends NormalizerStats> Abstract base class for normalizers that act upon DataSet instances or iterators
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
class	NormalizerMinMaxScaler Pre processor for DataSets that normalizes feature values (and optionally label values) to lie between a minimum and maximum value (by default between 0 and 1)
class	NormalizerStandardize Created by susaneraly, Ede Meijer variance and mean Pre processor for DataSet that normalizes feature values (and optionally label values) to have 0 mean and a standard deviation of 1