PLearn 0.1
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concatenate the columns of the matrix arguments, just like the hconcat function (PLearn.h) on Vars. More...
#include <RandomVar.h>
Public Member Functions | |
ConcatColumnsRandomVariable (const RVArray &vars) | |
ConcatColumnsRandomVariable. | |
virtual char * | classname () |
void | setValueFromParentsValue () |
set the field value from the values of the parents | |
bool | invertible (const Var &obs, RVInstanceArray &unobserved_parents, Var **JacobianCorrection) |
functions specific to FunctionalRandomVariable's | |
void | EMBprop (const Vec obs, real posterior) |
concatenate the columns of the matrix arguments, just like the hconcat function (PLearn.h) on Vars.
Definition at line 1521 of file RandomVar.h.
PLearn::ConcatColumnsRandomVariable::ConcatColumnsRandomVariable | ( | const RVArray & | vars | ) |
Definition at line 2368 of file RandomVar.cc.
References setValueFromParentsValue().
:FunctionalRandomVariable(a, a.length()) { setValueFromParentsValue(); // just to check compatibility // for (int i=0;i<a.size();i++) // int n_rows = a[0]->value->matValue.length(); // Je commente ca parce que la methode n'existe plus, mais ca avait surement son utilite... // seeAsMatrix(n_rows,length()/n_rows); }
virtual char* PLearn::ConcatColumnsRandomVariable::classname | ( | ) | [inline, virtual] |
Implements PLearn::RandomVariable.
Definition at line 1525 of file RandomVar.h.
{ return "ConcatColumnsRandomVariable"; }
************ EM STUFF ********** propagate posterior information to parents in order to perform an EMupdate at the end of an EMEpoch. In the case of mixture-like RVs and their components, the posterior is the probability of the component "this" given the observation "obs".
Implements PLearn::RandomVariable.
Definition at line 2392 of file RandomVar.cc.
References PLERROR.
{ PLERROR("ConcatColumnsRandomVariable::EMBprop not yet implemented"); }
bool PLearn::ConcatColumnsRandomVariable::invertible | ( | const Var & | obs, |
RVInstanceArray & | unobserved_parents, | ||
Var ** | JacobianCorrection | ||
) | [virtual] |
functions specific to FunctionalRandomVariable's
!< 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 from PLearn::FunctionalRandomVariable.
Definition at line 2385 of file RandomVar.cc.
References PLERROR.
{ PLERROR("ConcatColumnsRandomVariable::invertible not yet implemented"); return true; }
void PLearn::ConcatColumnsRandomVariable::setValueFromParentsValue | ( | ) | [virtual] |
set the field value from the values of the parents
Implements PLearn::FunctionalRandomVariable.
Definition at line 2378 of file RandomVar.cc.
References PLearn::hconcat(), PLearn::RandomVariable::marked, PLearn::RandomVariable::parents, PLearn::RandomVariable::value, and PLearn::RVArray::values().
Referenced by ConcatColumnsRandomVariable().