com.bayesia.api.discretization.settings

Interface DiscretizationSettings

All Known Subinterfaces:

TargetedDiscretizationSettings

All Known Implementing Classes:

DecisionTreeSettings, DerivativeSettings, EqualDistanceSettings, EqualFrequencySettings, KMeansSettings, NormalizedEqualDistanceSettings, R2GenOptSettings

public interface DiscretizationSettings

This interface is used to describe the settings for a discretization algorithm.

Each discretization algorithm has a specific settings class that indicates which algorithm to use to the following methods: APIUtils.discretize(DiscretizationSettings, double[], double[]) and APIUtils.discretize(TargetedDiscretizationSettings, double[], double[], short[])

Version:

4.0

Author:

Bayesia S.A.S.

Method Summary

Modifier and Type	Method and Description
APIUtils.DISCRETIZATION	getDiscretization() Return a DISCRETIZATION indicating the discretization algorithm to use

Method Detail

getDiscretization

APIUtils.DISCRETIZATION getDiscretization()

Return a DISCRETIZATION indicating the discretization algorithm to use

Returns:

the discretization to use