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PLearn 0.1
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#include <plearn_learners/distributions/PDistribution.h>#include <plearn/math/plapack.h>#include <plearn/math/pl_math.h>#include <plearn/math/TMat_maths.h>#include <plearn/math/PRandom.h>#include <plearn/base/tuple.h>#include <utility>#include <queue>#include <math.h>

Go to the source code of this file.
Classes | |
| class | PLearn::ReconstructionCandidate |
| description of the main class: TransformationLearner More... | |
| class | PLearn::TransformationLearner |
| class | PLearn::DiffTemplate< ObjectType, TransformationLearner > |
| class | PLearn::TypeTraits< TransformationLearner > |
Namespaces | |
| namespace | PLearn |
< for swap | |
Defines | |
| #define | TRANSFORM_FAMILY_LINEAR 0 |
| #define | TRANSFORM_FAMILY_LINEAR_INCREMENT 1 |
| #define | UNDEFINED -1 |
| #define | INIT_MODE_DEFAULT 0 |
| #define | INIT_MODE_RANDOM 1 |
| #define | NOISE_ALPHA_NO_REG 1 |
| #define | NOISE_BETA_NO_REG 0 |
| #define | TRANSFORM_DISTRIBUTION_ALPHA_NO_REG 1 |
| #define | BEHAVIOR_LEARNER 0 |
| #define | BEHAVIOR_GENERATOR 1 |
Functions | |
| bool | PLearn::operator< (const ReconstructionCandidate &o1, const ReconstructionCandidate &o2) |
| bool | PLearn::operator== (const ReconstructionCandidate &o1, const ReconstructionCandidate &o2) |
| PStream & | PLearn::operator<< (PStream &out, const ReconstructionCandidate &x) |
| PStream & | PLearn::operator>> (PStream &in, ReconstructionCandidate &x) |
| Object * | PLearn::toObjectPtr (const TransformationLearner &o) |
| PStream & | PLearn::operator>> (PStream &in, TransformationLearner &o) |
| PStream & | PLearn::operator>> (PStream &in, TransformationLearner *&o) |
| PStream & | PLearn::operator<< (PStream &out, const TransformationLearner &o) |
| PStream & | PLearn::operator>> (PStream &in, PP< TransformationLearner > &o) |
| template<class ObjectType > | |
| int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, TransformationLearner > *opt, PLearnDiff *diffs) |
Definition in file TransformationLearner.h.
| #define BEHAVIOR_GENERATOR 1 |
Definition at line 66 of file TransformationLearner.h.
| #define BEHAVIOR_LEARNER 0 |
Definition at line 65 of file TransformationLearner.h.
Referenced by PLearn::TransformationLearner::build_().
| #define INIT_MODE_DEFAULT 0 |
Definition at line 60 of file TransformationLearner.h.
Referenced by PLearn::TransformationLearner::initEStep().
| #define INIT_MODE_RANDOM 1 |
Definition at line 61 of file TransformationLearner.h.
| #define NOISE_ALPHA_NO_REG 1 |
Definition at line 62 of file TransformationLearner.h.
Referenced by PLearn::TransformationLearner::mainLearnerBuild().
| #define NOISE_BETA_NO_REG 0 |
Definition at line 63 of file TransformationLearner.h.
Referenced by PLearn::TransformationLearner::mainLearnerBuild().
| #define TRANSFORM_DISTRIBUTION_ALPHA_NO_REG 1 |
Definition at line 64 of file TransformationLearner.h.
Referenced by PLearn::TransformationLearner::mainLearnerBuild().
| #define TRANSFORM_FAMILY_LINEAR 0 |
Definition at line 57 of file TransformationLearner.h.
Referenced by PLearn::TransformationLearner::applyTransformationOn(), and PLearn::TransformationLearner::initTransformsParameters().
| #define TRANSFORM_FAMILY_LINEAR_INCREMENT 1 |
Definition at line 58 of file TransformationLearner.h.
Referenced by PLearn::TransformationLearner::MStepTransformationDiv(), and PLearn::TransformationLearner::MStepTransformations().
| #define UNDEFINED -1 |
Definition at line 59 of file TransformationLearner.h.
Referenced by PLearn::TransformationLearner::buildLearnedParameters(), and PLearn::TransformationLearner::mainLearnerBuild().
1.7.4