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PLearn 0.1
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#include <plearn/var/SourceVariable.h>#include <plearn/var/VarRowsVariable.h>#include <plearn/var/IsMissingVariable.h>#include <plearn/var/ReIndexedTargetVariable.h>#include <plearn/var/LogSoftmaxVariable.h>#include <plearn/var/AffineTransformVariable.h>#include <plearn/var/AffineTransformWeightPenalty.h>#include <plearn/var/BinaryClassificationLossVariable.h>#include <plearn/var/ClassificationLossVariable.h>#include <plearn/var/ConcatColumnsVariable.h>#include <plearn/var/ConcatRowsVariable.h>#include <plearn/var/CrossEntropyVariable.h>#include <plearn/var/ExpVariable.h>#include <plearn/var/HeterogenuousAffineTransformVariable.h>#include <plearn/var/HeterogenuousAffineTransformWeightPenalty.h>#include <plearn/var/MarginPerceptronCostVariable.h>#include <plearn/var/MulticlassLossVariable.h>#include <plearn/var/NegCrossEntropySigmoidVariable.h>#include <plearn/var/InsertZerosVariable.h>#include <plearn/var/OneHotSquaredLoss.h>#include <plearn/var/SigmoidVariable.h>#include <plearn/var/SoftmaxVariable.h>#include <plearn/var/SoftplusVariable.h>#include <plearn/var/SubMatVariable.h>#include <plearn/var/SumVariable.h>#include <plearn/var/SumAbsVariable.h>#include <plearn/var/SumOfVariable.h>#include <plearn/var/SumSquareVariable.h>#include <plearn/var/TanhVariable.h>#include <plearn/var/TransposeVariable.h>#include <plearn/var/ProductVariable.h>#include <plearn/var/TransposeProductVariable.h>#include <plearn/var/UnaryHardSlopeVariable.h>#include <plearn/var/ArgmaxVariable.h>#include <plearn/var/Var_operators.h>#include <plearn/var/Var_utils.h>#include <plearn/var/FNetLayerVariable.h>#include <plearn/vmat/ConcatColumnsVMatrix.h>#include "DistRepNNet.h"#include <plearn/math/random.h>#include <plearn/vmat/SubVMatrix.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. | |
1.7.4