PLearn::FunctionalRandomVariable Class Reference

#include <RandomVar.h>

Inheritance diagram for PLearn::FunctionalRandomVariable:

[legend]Collaboration diagram for PLearn::FunctionalRandomVariable:

[legend]List of all members.

Public Member Functions
	FunctionalRandomVariable (int length)
	FunctionalRandomVariable *.
	FunctionalRandomVariable (int length, int width)
	FunctionalRandomVariable (const Vec &the_value)
	FunctionalRandomVariable (const Mat &the_value)
	FunctionalRandomVariable (const Var &the_value)
	FunctionalRandomVariable (const RVArray &parents, int length)
	FunctionalRandomVariable (const RVArray &parents, int length, int width)
virtual Var	logP (const Var &obs, const RVInstanceArray &RHS, RVInstanceArray *parameters_to_learn)
	redefine RandomVariable functions
bool	isNonRandom ()
	a Functional RV may be non-random if all its ancestors are non-random
virtual bool	isDiscrete ()
	default is that the RV is discrete if all its parents are discrete
virtual bool	invertible (const Var &obs, RVInstanceArray &unobserved_parents, Var **JacobianCorrection)
	!< SUBCLASS WRITERS: IMPLEMENT FUNCTIONS BELOW //!<
virtual void	setValueFromParentsValue ()=0
	set the field value from the values of the parents

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Detailed Description

A FunctionalRandomVariable represents a RV that is a deterministic function of other RVs, e.g., the sum, mixture, product, exponential, etc... of parent RVs.

Definition at line 1006 of file RandomVar.h.

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Constructor & Destructor Documentation

PLearn::FunctionalRandomVariable::FunctionalRandomVariable (  int  thelength  )

FunctionalRandomVariable *. Definition at line 976 of file RandomVar.cc.

PLearn::FunctionalRandomVariable::FunctionalRandomVariable (  int  length, int  width )

Definition at line 978 of file RandomVar.cc.

PLearn::FunctionalRandomVariable::FunctionalRandomVariable (  const Vec &  the_value  )

Definition at line 980 of file RandomVar.cc. References PLearn::Vec.

PLearn::FunctionalRandomVariable::FunctionalRandomVariable (  const Mat &  the_value  )

Definition at line 982 of file RandomVar.cc. References PLearn::Mat.

PLearn::FunctionalRandomVariable::FunctionalRandomVariable (  const Var &  the_value  )

Definition at line 984 of file RandomVar.cc.

PLearn::FunctionalRandomVariable::FunctionalRandomVariable (  const RVArray &  parents, int  length )

Definition at line 988 of file RandomVar.cc.

PLearn::FunctionalRandomVariable::FunctionalRandomVariable (  const RVArray &  parents, int  length, int  width )

Definition at line 992 of file RandomVar.cc.

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Member Function Documentation

bool PLearn::FunctionalRandomVariable::invertible (  const Var &  obs, RVInstanceArray &  unobserved_parents, Var **  JacobianCorrection )  [virtual]

!< SUBCLASS WRITERS: IMPLEMENT FUNCTIONS BELOW //!< check whether it is possible to invert the function which maps the given unobserved parents to the observed value of the RV (obs). If invertible, do the inversion, and set the value fields of the RVInstances to Var's which are functionally dependent on obs. If the absolute value of the Jacobian of the map from the unobserved parents to this R.V.'s value is different from 1, then JacobianCorrection should point to a Var that is the logarithm of the determinant of this Jacobian (first derivatives) matrix. If the function is not invertible but it is possible to write P(Y==obs | unobserved_parents) in terms of the unobserved_parents logP functions, then the sub-class writer should instead redefine the logP function appropriately. Reimplemented in PLearn::NonRandomVariable, PLearn::JointRandomVariable, PLearn::RandomElementOfRandomVariable, PLearn::NegRandomVariable, PLearn::ExpRandomVariable, PLearn::LogRandomVariable, PLearn::PlusRandomVariable, PLearn::MinusRandomVariable, PLearn::ElementWiseDivisionRandomVariable, PLearn::ProductRandomVariable, PLearn::SubVecRandomVariable, PLearn::ExtendedRandomVariable, and PLearn::ConcatColumnsRandomVariable. Definition at line 1051 of file RandomVar.cc. References PLERROR. Referenced by logP().

bool PLearn::FunctionalRandomVariable::isDiscrete (   )  [virtual]

default is that the RV is discrete if all its parents are discrete Implements PLearn::RandomVariable. Definition at line 1074 of file RandomVar.cc. References PLearn::TVec< RandomVar >::size(). Referenced by logP().

bool PLearn::FunctionalRandomVariable::isNonRandom (   )  [virtual]

a Functional RV may be non-random if all its ancestors are non-random Implements PLearn::RandomVariable. Definition at line 1066 of file RandomVar.cc. References PLearn::TVec< RandomVar >::size().

Var PLearn::FunctionalRandomVariable::logP (  const Var &  obs, const RVInstanceArray &  RHS, RVInstanceArray *  parameters_to_learn )  [virtual]

redefine RandomVariable functions Implements PLearn::RandomVariable. Reimplemented in PLearn::RVArrayRandomElementRandomVariable. Definition at line 996 of file RandomVar.cc. References invertible(), isDiscrete(), PLearn::isequal(), PLearn::RandomVariable::length(), PLearn::logP(), PLearn::marginalize(), PLearn::RVInstanceArray::random_variables(), PLearn::TVec< RVInstance >::size(), PLearn::TVec< RandomVar >::size(), and PLearn::RVInstanceArray::sort().

virtual void PLearn::FunctionalRandomVariable::setValueFromParentsValue (   )  [pure virtual]

set the field value from the values of the parents Implements PLearn::RandomVariable. Implemented in PLearn::NonRandomVariable, PLearn::JointRandomVariable, PLearn::RandomElementOfRandomVariable, PLearn::RVArrayRandomElementRandomVariable, PLearn::NegRandomVariable, PLearn::ExpRandomVariable, PLearn::LogRandomVariable, PLearn::PlusRandomVariable, PLearn::MinusRandomVariable, PLearn::ElementWiseDivisionRandomVariable, PLearn::ProductRandomVariable, PLearn::SubVecRandomVariable, PLearn::ExtendedRandomVariable, and PLearn::ConcatColumnsRandomVariable.

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The documentation for this class was generated from the following files:

• RandomVar.h
• RandomVar.cc

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