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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.
1.7.4