Package microsim.statistics.regression

Class MultiLogitRegression<T extends Enum<T>>

java.lang.Object

microsim.statistics.regression.MultiLogitRegression<T>

All Implemented Interfaces:

MultipleChoiceRegression<T>

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

Constructor Summary

Constructors

Constructor	Description
MultiLogitRegression(@NonNull Map<T,MultiKeyCoefficientMap> maps)
MultiLogitRegression(@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 MultiLogitRegression'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	getLogitTransformOfScore(T event, @NonNull Object individual)
double	getLogitTransformOfScore(T event, @NonNull Map<String,Double> values)	Warning - only use when MultiLogitRegression's maps field has values that are MultiKeyCoefficientMaps with only one key.
<E extends Enum<E>> double	getLogitTransformOfScore(T event, @NonNull 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

MultiLogitRegression

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

MultiLogitRegression

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

Method Details

getLogitTransformOfScore

public double getLogitTransformOfScore(@NonNull
 T event,
 @NonNull
 @NonNull Map<String,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(@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 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 MultipleChoiceRegression<T extends Enum<T>>

Parameters:

values -

Returns:

getLogitTransformOfScore

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

eventType

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