PLearn 0.1
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#include "GaussianContinuumDistribution.h"
#include <plearn/vmat/LocalNeighborsDifferencesVMatrix.h>
#include <plearn/var/ProductVariable.h>
#include <plearn/var/PlusVariable.h>
#include <plearn/var/SoftplusVariable.h>
#include <plearn/var/VarRowsVariable.h>
#include <plearn/var/VarRowVariable.h>
#include <plearn/var/SourceVariable.h>
#include <plearn/var/Var_operators.h>
#include <plearn/vmat/ConcatColumnsVMatrix.h>
#include <plearn/math/random.h>
#include <plearn/var/SumOfVariable.h>
#include <plearn/var/TanhVariable.h>
#include <plearn/var/NllSemisphericalGaussianVariable.h>
#include <plearn/var/DiagonalizedFactorsProductVariable.h>
#include <plearn/math/plapack.h>
#include <plearn/var/ColumnSumVariable.h>
#include <plearn/vmat/VMat_basic_stats.h>
#include <plearn/vmat/ConcatRowsVMatrix.h>
#include <plearn/vmat/SubVMatrix.h>
#include <plearn/var/PDistributionVariable.h>
#include <plearn_learners/distributions/UniformDistribution.h>
#include <plearn_learners/distributions/GaussianDistribution.h>
#include <plearn/display/DisplayUtils.h>
#include <plearn/opt/GradientOptimizer.h>
#include <plearn/var/TransposeVariable.h>
#include <plearn/var/Var_utils.h>
#include <plearn/var/ConcatRowsVariable.h>
#include <plearn/var/RowSumVariable.h>
#include <plearn/var/ReshapeVariable.h>
#include <plearn/var/SquareVariable.h>
#include <plearn/var/ExpVariable.h>
#include <plearn/var/NoBpropVariable.h>
#include <plearn/var/ThresholdBpropVariable.h>
#include <plearn/io/load_and_save.h>
#include <plearn/vmat/VMat_computeNearestNeighbors.h>
#include <plearn/vmat/FractionSplitter.h>
#include <plearn/vmat/RepeatSplitter.h>
Go to the source code of this file.
Namespaces | |
namespace | PLearn |
< for swap | |
Functions | |
void | PLearn::varDeepCopyField (Var &field, CopiesMap &copies) |
To use varDeepCopyField. |
Definition in file GaussianContinuumDistribution.cc.