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().