Uses of Interface
com.bayesia.api.discretization.settings.DiscretizationSettings

Packages that use DiscretizationSettings

Package	Description
com.bayesia.api
com.bayesia.api.discretization.settings

Uses of DiscretizationSettings in com.bayesia.api

Methods in com.bayesia.api with parameters of type DiscretizationSettings

Modifier and Type	Method and Description
static double[][]	APIUtils.discretize(DiscretizationSettings discretizationSettings, double[] values, double[] weights) Perform a discretization of the given values and weights accordingly to the discretization settings provided.

Uses of DiscretizationSettings in com.bayesia.api.discretization.settings

Subinterfaces of DiscretizationSettings in com.bayesia.api.discretization.settings

Modifier and Type	Interface and Description
interface	TargetedDiscretizationSettings This interface represents the settings for a targeted discretization algorithm.

Classes in com.bayesia.api.discretization.settings that implement DiscretizationSettings

Modifier and Type	Class and Description
class	DecisionTreeSettings This class is used to perform targeted discretization using a decision tree.
class	DerivativeSettings This class is used to perform discretization using the derivative discretization algorithm.
class	EqualDistanceSettings This class is used to perform equal distance discretization into the required number of intervals.
class	EqualFrequencySettings This class is used to perform equal frequency discretization into the required number of intervals.
class	KMeansSettings This class is used to perform discretization using the K-Means discretization algorithm.
class	NormalizedEqualDistanceSettings This class is used to perform normalized equal distance discretization into the required number of intervals.
class	R2GenOptSettings This class is used to perform discretization using the R2-GenOpt discretization algorithm.