Uses of Interface
jsat.datatransform.InPlaceTransform

Packages that use InPlaceTransform

Package	Description
jsat.datatransform

Uses of InPlaceTransform in jsat.datatransform

Subinterfaces of InPlaceTransform in jsat.datatransform

Modifier and Type	Interface and Description
interface	InPlaceInvertibleTransform This interface behaves exactly as InPlaceTransform specifies, with the addition of an in-place "reverse" method that can be used to alter any given transformed data point back into an approximation of the original vector, without having to new vector object, but altering the one given.

Classes in jsat.datatransform that implement InPlaceTransform

Modifier and Type	Class and Description
class	AutoDeskewTransform This transform applies a shifted Box-Cox transform for several fixed values of λ, and selects the one that provides the greatest reduction in the skewness of the distribution.
class	Imputer Imputes missing values in a dataset by finding reasonable default values.
class	InsertMissingValuesTransform This transform mostly exists for testing code.
class	LinearTransform This class transforms all numerical values into a specified range by a linear scaling of all the data point values.
class	PNormNormalization PNormNormalization transformation performs normalizations of a vector x by one its p-norms where p is in (0, Infinity)
class	StandardizeTransform This transform performs standardization of the data, which makes each column have a mean of zero and a variance of one.
class	UnitVarianceTransform Creates a transform to alter data points so that each attribute has a standard deviation of 1, which means a variance of 1.
class	WhitenedZCA An extension of WhitenedPCA, is the Whitened Zero Component Analysis.
class	ZeroMeanTransform A transformation to shift all numeric variables so that their mean is zero