static <T extends java.lang.Enum<T>,U extends java.lang.Enum<U>> double |
LinearRegression.computeScore(MultiKeyCoefficientMap coeffMultiMap,
IDoubleSource iDblSrc,
java.lang.Class<T> enumTypeDouble,
IObjectSource iObjSrc,
java.lang.Class<U> enumTypeObject) |
Requires the implementation of the IObjectSource to ascertain whether any additional conditioning regression keys are used (e.g.
|
<T extends java.lang.Enum<T>,U extends java.lang.Enum<U>> boolean |
LogitRegression.event(IDoubleSource iDblSrc,
java.lang.Class<T> enumTypeDbl,
IObjectSource iObjSrc,
java.lang.Class<U> enumTypeObj) |
|
<T extends java.lang.Enum<T>,U extends java.lang.Enum<U>> boolean |
ProbitRegression.event(IDoubleSource iDblSrc,
java.lang.Class<T> enumTypeDbl,
IObjectSource iObjSrc,
java.lang.Class<U> enumTypeObj) |
|
<T extends java.lang.Enum<T>,U extends java.lang.Enum<U>> double |
LogitRegression.getProbability(IDoubleSource iDblSrc,
java.lang.Class<T> enumTypeDbl,
IObjectSource iObjSrc,
java.lang.Class<U> enumTypeObj) |
|
<T extends java.lang.Enum<T>,U extends java.lang.Enum<U>> double |
ProbitRegression.getProbability(IDoubleSource iDblSrc,
java.lang.Class<T> enumTypeDbl,
IObjectSource iObjSrc,
java.lang.Class<U> enumTypeObj) |
|
<T extends java.lang.Enum<T>,U extends java.lang.Enum<U>> double |
ILinearRegression.getScore(IDoubleSource iDblSrc,
java.lang.Class<T> enumTypeDouble,
IObjectSource iObjSrc,
java.lang.Class<U> enumTypeObject) |
|
<T extends java.lang.Enum<T>,U extends java.lang.Enum<U>> double |
LinearRegression.getScore(IDoubleSource iDblSrc,
java.lang.Class<T> enumTypeDouble,
IObjectSource iObjSrc,
java.lang.Class<U> enumTypeObject) |
Requires the implementation of the IObjectSource to ascertain whether any additional conditioning regression keys are used (e.g.
|