#include <RandomVar.h>
Inheritance diagram for PLearn::MinusRandomVariable:
Public Member Functions | |
| MinusRandomVariable (RandomVar input1, RandomVar input2) | |
| RandomVariable Minus *. | |
| 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) |
| !< SUBCLASS WRITERS: IMPLEMENT FUNCTIONS BELOW //!< | |
| void | EMBprop (const Vec obs, real post) |
| void | EMTrainingInitialize (const RVArray ¶meters_to_learn) |
| Initialization of EM training (before all the iterations start). | |
| void | EMEpochInitialize () |
| Initialization of an individual EMEpoch. | |
| void | EMUpdate () |
| const RandomVar & | X0 () |
| convenience inline's | |
| const RandomVar & | X1 () |
| bool | learn_X0 () |
| stuff for EM | |
| bool | learn_X1 () |
Public Attributes | |
| bool | learn_something |
| RandomVar | parent_to_learn |
| the one of X0 or X1 that is to learn | |
| RandomVar | other_parent |
| the other one | |
| Vec | numerator |
| Vec | difference |
| real | denom |
if both X0 and X1 are observed, and one of them is learnable, then it can be learned by EM.
Definition at line 1329 of file RandomVar.h.
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RandomVariable Minus *.
Definition at line 1419 of file RandomVar.cc. References PLearn::difference(), MAX, and PLERROR. |
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Implements PLearn::RandomVariable. Definition at line 1334 of file RandomVar.h. |
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************ 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 1484 of file RandomVar.cc. References PLearn::add(), denom, difference, learn_something, learn_X0(), PLearn::multiplyAcc(), numerator, other_parent, parent_to_learn, PLearn::substract(), X0(), and X1(). |
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Initialization of an individual EMEpoch. the default just propagates to the unmarked parents Reimplemented from PLearn::RandomVariable. Definition at line 1473 of file RandomVar.cc. References PLearn::TVec< T >::clear(), denom, learn_something, and numerator. |
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Initialization of EM training (before all the iterations start). the default just propagates to the unmarked parents Reimplemented from PLearn::RandomVariable. Definition at line 1452 of file RandomVar.cc. References learn_something, learn_X0(), learn_X1(), other_parent, parent_to_learn, PLERROR, X0(), and X1(). |
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update the fixed (non-random) parameters using internal learning mechanism, at end of an EMEpoch. the default just propagates to the unmarked parents. Reimplemented from PLearn::RandomVariable. Definition at line 1522 of file RandomVar.cc. References denom, learn_something, learn_X0(), learn_X1(), PLearn::multiply(), numerator, parent_to_learn, X0(), and X1(). |
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!< 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 1437 of file RandomVar.cc. References PLearn::TVec< RVInstance >::size(), X0(), and X1(). |
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stuff for EM
Definition at line 1349 of file RandomVar.h. Referenced by EMBprop(), EMTrainingInitialize(), and EMUpdate(). |
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Definition at line 1350 of file RandomVar.h. Referenced by EMTrainingInitialize(), and EMUpdate(). |
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set the field value from the values of the parents
Implements PLearn::FunctionalRandomVariable. Definition at line 1431 of file RandomVar.cc. |
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convenience inline's
Definition at line 1345 of file RandomVar.h. Referenced by EMBprop(), EMTrainingInitialize(), EMUpdate(), invertible(), and setValueFromParentsValue(). |
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Definition at line 1346 of file RandomVar.h. Referenced by EMBprop(), EMTrainingInitialize(), EMUpdate(), invertible(), and setValueFromParentsValue(). |
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Definition at line 1356 of file RandomVar.h. Referenced by EMBprop(), EMEpochInitialize(), and EMUpdate(). |
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Definition at line 1355 of file RandomVar.h. Referenced by EMBprop(). |
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Definition at line 1351 of file RandomVar.h. Referenced by EMBprop(), EMEpochInitialize(), EMTrainingInitialize(), and EMUpdate(). |
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Definition at line 1354 of file RandomVar.h. Referenced by EMBprop(), EMEpochInitialize(), and EMUpdate(). |
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the other one
Definition at line 1353 of file RandomVar.h. Referenced by EMBprop(), and EMTrainingInitialize(). |
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the one of X0 or X1 that is to learn
Definition at line 1352 of file RandomVar.h. Referenced by EMBprop(), EMTrainingInitialize(), and EMUpdate(). |
1.3.7