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PLearn 0.1
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#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) |
Definition at line 417 of file plearn_exp.cc.
References PLEARN_FIXLEVEL, PLearn::plearn_main(), PLEARN_MAJOR_VERSION, and PLEARN_MINOR_VERSION.
{
return plearn_main( argc, argv,
PLEARN_MAJOR_VERSION,
PLEARN_MINOR_VERSION,
PLEARN_FIXLEVEL );
}

1.7.4