Package microsim.statistics.regression

Class MultiLogitRegression<T extends java.lang.Enum<T>>

java.lang.Object

microsim.statistics.regression.MultiLogitRegression<T>

All Implemented Interfaces:

IMultipleChoiceRegression<T>

public class MultiLogitRegression<T extends java.lang.Enum<T>>
extends java.lang.Object
implements IMultipleChoiceRegression<T>

Constructor Summary

Constructors

Constructor	Description
MultiLogitRegression(java.util.Map<T,MultiKeyCoefficientMap> maps)
MultiLogitRegression(java.util.Map<T,MultiKeyCoefficientMap> maps, java.util.Random random)

Method Summary

Modifier and Type	Method	Description
T	eventType(java.lang.Object individual)
T	eventType(java.util.Map<java.lang.String,java.lang.Double> values)	Warning - only use when MultiLogitRegression's maps field has values that are MultiKeyCoefficientMaps with only one key.
<E extends java.lang.Enum<E>> T	eventType(IDoubleSource iDblSrc, java.lang.Class<E> Regressors, java.lang.Class<T> enumType)
double	getLogitTransformOfScore(T event, java.lang.Object individual)
double	getLogitTransformOfScore(T event, java.util.Map<java.lang.String,java.lang.Double> values)	Warning - only use when MultiLogitRegression's maps field has values that are MultiKeyCoefficientMaps with only one key.
<E extends java.lang.Enum<E>> double	getLogitTransformOfScore(T event, IDoubleSource iDblSrc, java.lang.Class<E> Regressors)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MultiLogitRegression

public MultiLogitRegression(java.util.Map<T,MultiKeyCoefficientMap> maps)

MultiLogitRegression

public MultiLogitRegression(java.util.Map<T,MultiKeyCoefficientMap> maps,
                            java.util.Random random)

Method Detail

getLogitTransformOfScore

public double getLogitTransformOfScore(T event,
                                       java.util.Map<java.lang.String,java.lang.Double> values)

Warning - only use when MultiLogitRegression's maps field has values that are MultiKeyCoefficientMaps with only one key. This method only looks at the first key of the MultiKeyCoefficientMap field of LinearRegression, so any other keys that are used to distinguish a unique multiKey (i.e. if the first key occurs more than once) will be ignored! If the first key of the multiKey appears more than once, the method would return an incorrect value, so will throw an exception.

Parameters:

values -

Returns:

getLogitTransformOfScore

public double getLogitTransformOfScore(T event,
                                       java.lang.Object individual)

eventType

public T eventType(java.lang.Object individual)

Specified by:

eventType in interface IMultipleChoiceRegression<T extends java.lang.Enum<T>>

eventType

public T eventType(java.util.Map<java.lang.String,java.lang.Double> values)

Warning - only use when MultiLogitRegression's maps field has values that are MultiKeyCoefficientMaps with only one key. This method only looks at the first key of the MultiKeyCoefficientMap field of LinearRegression, so any other keys that are used to distinguish a unique multiKey (i.e. if the first key occurs more than once) will be ignored! If the first key of the multiKey appears more than once, the method would return an incorrect value, so will throw an exception.

Specified by:

eventType in interface IMultipleChoiceRegression<T extends java.lang.Enum<T>>

Parameters:

values -

Returns:

getLogitTransformOfScore

public <E extends java.lang.Enum<E>> double getLogitTransformOfScore(T event,
                                                                     IDoubleSource iDblSrc,
                                                                     java.lang.Class<E> Regressors)

eventType

public <E extends java.lang.Enum<E>> T eventType(IDoubleSource iDblSrc,
                                                 java.lang.Class<E> Regressors,
                                                 java.lang.Class<T> enumType)