Package microsim.statistics.regression

Class MultiProbitRegression<T extends Enum<T>>

java.lang.Object

microsim.statistics.regression.MultiProbitRegression<T>

All Implemented Interfaces:

MultipleChoiceRegression<T>

public class MultiProbitRegression<T extends Enum<T>>
extends Object
implements MultipleChoiceRegression<T>

Constructor Summary

Constructors

Constructor	Description
MultiProbitRegression(@NonNull Map<T,MultiKeyCoefficientMap> maps)
MultiProbitRegression(@NonNull Map<T,MultiKeyCoefficientMap> maps, @NonNull Random random)

Method Summary

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

Methods inherited from class java.lang.Object

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

Constructor Details

MultiProbitRegression

public MultiProbitRegression(@NonNull
 @NonNull Map<T,MultiKeyCoefficientMap> maps)

MultiProbitRegression

public MultiProbitRegression(@NonNull
 @NonNull Map<T,MultiKeyCoefficientMap> maps,
 @NonNull
 @NonNull Random random)

Method Details

getProbitTransformOfScore

public double getProbitTransformOfScore(@NonNull
 T event,
 @NonNull
 @NonNull Map<String,Double> values)

Warning - only use when MultiProbitRegression'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:

getProbitTransformOfScore

public double getProbitTransformOfScore(@NonNull
 T event,
 @NonNull
 @NonNull Object individual)

eventType

public T eventType(@NonNull
 @NonNull Object individual)

Specified by:

eventType in interface MultipleChoiceRegression<T extends Enum<T>>

eventType

public T eventType(@NonNull
 @NonNull Map<String,Double> values)

Warning - only use when MultiProbitRegression'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 MultipleChoiceRegression<T extends Enum<T>>

Parameters:

values -

Returns:

getProbitTransformOfScore

public <E extends Enum<E>> double getProbitTransformOfScore(@NonNull
 T event,
 DoubleSource iDblSrc,
 @NonNull
 @NonNull Class<E> Regressors)

eventType

public <E extends Enum<E>> T eventType(DoubleSource iDblSrc,
 Class<E> Regressors,
 Class<T> enumType)