PLearn 0.1
Functions
plearn_exp.cc File Reference
#include <commands/plearn_version.h>
#include <commands/PLearnCommands/plearn_main.h>
#include <plearn_learners/testers/PTester.h>
#include <commands/PLearnCommands/VMatCommand.h>
#include <commands/PLearnCommands/VMatViewCommand.h>
#include <commands/PLearnCommands/HelpCommand.h>
#include <commands/PLearnCommands/LearnerCommand.h>
#include <commands/PLearnCommands/ReadAndWriteCommand.h>
#include <commands/PLearnCommands/RunCommand.h>
#include <commands/PLearnCommands/ServerCommand.h>
#include <commands/PLearnCommands/VerifyGradientCommand.h>
#include <commands/PLearnCommands/ExtractOptionCommand.h>
#include <plearn_learners/hyper/HyperOptimize.h>
#include <plearn_learners/hyper/HyperRetrain.h>
#include <plearn_learners/hyper/HyperSetOption.h>
#include <plearn/opt/GradientOptimizer.h>
#include <plearn/opt/EXPERIMENTAL/AutoScaledGradientOptimizer.h>
#include <plearn_learners/hyper/EarlyStoppingOracle.h>
#include <plearn_learners/hyper/ExplicitListOracle.h>
#include <plearn_learners/unsupervised/NormalizationLearner.h>
#include <plearn_learners/generic/ChainedLearners.h>
#include <plearn_learners/hyper/HyperLearner.h>
#include <plearn/vmat/ExplicitSplitter.h>
#include <plearn/vmat/FractionSplitter.h>
#include <plearn/vmat/NoSplitSplitter.h>
#include <plearn/vmat/TrainTestSplitter.h>
#include <plearn/vmat/AutoVMatrix.h>
#include <plearn/vmat/CompactFileVMatrix.h>
#include <plearn/vmat/FilteredVMatrix.h>
#include <plearn/vmat/ProcessingVMatrix.h>
#include <plearn/vmat/RegularGridVMatrix.h>
#include <plearn_learners/unsupervised/PCA.h>
#include <plearn_learners/distributions/ParzenWindow.h>
#include <plearn/var/EXPERIMENTAL/SumVarianceOfLinearTransformedBernoullis.h>
#include <plearn/var/EXPERIMENTAL/SumVarianceOfLinearTransformedCategoricals.h>
#include <plearn/var/EXPERIMENTAL/SumEntropyOfBernoullis.h>
#include <plearn/var/EXPERIMENTAL/SumEntropyOfCategoricals.h>
#include <plearn/var/EXPERIMENTAL/LinearCombinationOfScalarVariables.h>
#include <plearn/var/EXPERIMENTAL/SaltPepperNoiseVariable.h>
#include <plearn_learners/generic/EXPERIMENTAL/NatGradNNet.h>
#include <plearn/var/Variable.h>
#include <plearn/var/SquareVariable.h>
#include <plearn/math/TVec_impl.h>
#include <plearn/var/EXPERIMENTAL/MultiMaxVariable.h>
#include <plearn/var/SoftmaxVariable.h>
#include <plearn/var/SumSquareVariable.h>
#include <plearn/var/Func.h>
#include <plearn/var/EXPERIMENTAL/DoubleProductVariable.h>
#include <plearn/var/EXPERIMENTAL/TransposedDoubleProductVariable.h>
#include <plearn/var/EXPERIMENTAL/ProbabilityPairsVariable.h>
#include <plearn/var/EXPERIMENTAL/ProbabilityPairsInverseVariable.h>
#include <plearn/var/EXPERIMENTAL/SoftSoftMaxVariable.h>
#include <plearn/var/EXPERIMENTAL/LogSoftSoftMaxVariable.h>
#include <plearn_learners/generic/EXPERIMENTAL/DeepReconstructorNet.h>
#include <plearn/var/SourceVariable.h>
#include <plearn/var/ConcatColumnsVariable.h>
#include <plearn/var/ConcatRowsVariable.h>
#include <plearn/var/ExpVariable.h>
#include <plearn/var/LogVariable.h>
#include <plearn/var/SigmoidVariable.h>
#include <plearn/var/ProductTransposeVariable.h>
#include <plearn/var/NegCrossEntropySigmoidVariable.h>
#include <plearn/var/LogSoftmaxVariable.h>
#include <plearn/var/ClassificationLossVariable.h>
#include <plearn/var/EXPERIMENTAL/MultiSampleVariable.h>
#include <plearn/var/EXPERIMENTAL/RandomForcedValuesVariable.h>
#include <plearn/var/EXPERIMENTAL/BernoulliSampleVariable.h>
#include <plearn/var/EXPERIMENTAL/TimesConstantScalarVariable2.h>
#include <plearn/var/PlusConstantVariable.h>
#include <plearn/var/TimesConstantVariable.h>
#include <plearn_learners/distributions/EXPERIMENTAL/TransformationLearner.h>
#include <plearn_learners/classifiers/KNNClassifier.h>
#include <plearn/ker/EXPERIMENTAL/PartsDistanceKernel.h>
#include <plearn_learners/classifiers/EXPERIMENTAL/LocalGaussianClassifier.h>
#include <plearn_learners/unsupervised/EXPERIMENTAL/DiverseComponentAnalysis.h>
#include <plearn_learners_experimental/DenoisingRecurrentNet.h>

Go to the source code of this file.

Functions

int main (int argc, char **argv)

Function Documentation

int main ( int  argc,
char **  argv 
)

Definition at line 417 of file plearn_exp.cc.

References PLEARN_FIXLEVEL, PLearn::plearn_main(), PLEARN_MAJOR_VERSION, and PLEARN_MINOR_VERSION.

Here is the call graph for this function:

 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Defines