Package microsim.statistics.regression

Class LogitRegression

java.lang.Object

microsim.statistics.regression.LinearRegression

microsim.statistics.regression.LogitRegression

All Implemented Interfaces:

BinaryChoiceRegression, LinReg

public class LogitRegression
extends LinearRegression
implements BinaryChoiceRegression

Constructor Summary

Constructors

Constructor	Description
LogitRegression(@NonNull MultiKeyCoefficientMap map)
LogitRegression(@NonNull MultiKeyCoefficientMap map, @NonNull cern.jet.random.engine.MersenneTwister random)

Method Summary

Modifier and Type	Method	Description
boolean	event(@NonNull Object individual)
boolean	event(@NonNull Map<String,Double> values)
<T extends Enum<T>> boolean	event(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumType)
<T extends Enum<T>, U extends Enum<U>> boolean	event(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumTypeDbl, @NonNull ObjectSource iObjSrc, @NonNull Class<U> enumTypeObj)
double	getProbability(@NonNull Object individual)
double	getProbability(@NonNull Map<String,Double> values)
<T extends Enum<T>> double	getProbability(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumType)
<T extends Enum<T>, U extends Enum<U>> double	getProbability(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumTypeDbl, @NonNull ObjectSource iObjSrc, @NonNull Class<U> enumTypeObj)

Methods inherited from class microsim.statistics.regression.LinearRegression

computeScore, computeScore, computeScore, computeScore, computeScore, getScore, getScore, getScore, getScore, multiplyCoeffsWithValues

Methods inherited from class java.lang.Object

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

Methods inherited from interface microsim.statistics.regression.LinReg

getScore, getScore, getScore, getScore

Constructor Details

LogitRegression

public LogitRegression(@NonNull
 @NonNull MultiKeyCoefficientMap map)

LogitRegression

public LogitRegression(@NonNull
 @NonNull MultiKeyCoefficientMap map,
 @NonNull
 @NonNull cern.jet.random.engine.MersenneTwister random)

Method Details

getProbability

public double getProbability(@NonNull
 @NonNull Map<String,Double> values)

getProbability

public double getProbability(@NonNull
 @NonNull Object individual)

event

public boolean event(@NonNull
 @NonNull Object individual)

Specified by:

event in interface BinaryChoiceRegression

event

public boolean event(@NonNull
 @NonNull Map<String,Double> values)

Specified by:

event in interface BinaryChoiceRegression

getProbability

public <T extends Enum<T>> double getProbability(@NonNull
 @NonNull DoubleSource iDblSrc,
 @NonNull
 @NonNull Class<T> enumType)

event

public <T extends Enum<T>> boolean event(@NonNull
 @NonNull DoubleSource iDblSrc,
 @NonNull
 @NonNull Class<T> enumType)

getProbability

public <T extends Enum<T>,
U extends Enum<U>> double getProbability(@NonNull
 @NonNull DoubleSource iDblSrc,
 @NonNull
 @NonNull Class<T> enumTypeDbl,
 @NonNull
 @NonNull ObjectSource iObjSrc,
 @NonNull
 @NonNull Class<U> enumTypeObj)

event

public <T extends Enum<T>,
U extends Enum<U>>
boolean event(@NonNull
 @NonNull DoubleSource iDblSrc,
 @NonNull
 @NonNull Class<T> enumTypeDbl,
 @NonNull
 @NonNull ObjectSource iObjSrc,
 @NonNull
 @NonNull Class<U> enumTypeObj)