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PLearn 0.1
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#include <plearn/db/UCISpecification.h>#include <plearn/io/openUrl.h>#include <plearn/math/ManualBinner.h>#include <plearn/math/SoftHistogramBinner.h>#include <plearn/misc/ShellScript.h>#include <plearn/misc/RunObject.h>#include <plearn_learners/misc/Grapher.h>#include <plearn_learners/misc/VariableSelectionWithDirectedGradientDescent.h>#include <plearn_learners/testers/PTester.h>#include <commands/PLearnCommands/AutoRunCommand.h>#include <commands/PLearnCommands/DiffCommand.h>#include <commands/PLearnCommands/FieldConvertCommand.h>#include <commands/PLearnCommands/HelpCommand.h>#include <commands/PLearnCommands/JulianDateCommand.h>#include <commands/PLearnCommands/KolmogorovSmirnovCommand.h>#include <commands/PLearnCommands/LearnerCommand.h>#include <commands/PLearnCommands/PairwiseDiffsCommand.h>#include <commands/PLearnCommands/ReadAndWriteCommand.h>#include <commands/PLearnCommands/RunCommand.h>#include <commands/PLearnCommands/ServerCommand.h>#include <commands/PLearnCommands/TestDependenciesCommand.h>#include <commands/PLearnCommands/TestDependencyCommand.h>#include <plearn/dict/Dictionary.h>#include <plearn/dict/FileDictionary.h>#include <plearn/dict/VecDictionary.h>#include <plearn/dict/ConditionalDictionary.h>#include <plearn_learners/hyper/HyperOptimize.h>#include <plearn_learners/hyper/HyperRetrain.h>#include <plearn_learners/hyper/HyperSetOption.h>#include <plearn/ker/AdditiveNormalizationKernel.h>#include <plearn/ker/DistanceKernel.h>#include <plearn/ker/DotProductKernel.h>#include <plearn/ker/EpanechnikovKernel.h>#include <plearn/ker/GaussianKernel.h>#include <plearn/ker/GeodesicDistanceKernel.h>#include <plearn/ker/LLEKernel.h>#include <plearn/ker/NegOutputCostFunction.h>#include <plearn/ker/ReconstructionWeightsKernel.h>#include <plearn/ker/ThresholdedKernel.h>#include <plearn/ker/VMatKernel.h>#include <plearn/opt/AdaptGradientOptimizer.h>#include <plearn/opt/ConjGradientOptimizer.h>#include <plearn/opt/GradientOptimizer.h>#include <plearn_learners/hyper/CartesianProductOracle.h>#include <plearn_learners/hyper/EarlyStoppingOracle.h>#include <plearn_learners/hyper/ExplicitListOracle.h>#include <plearn_learners/hyper/OptimizeOptionOracle.h>#include <plearn_learners/meta/AdaBoost.h>#include <plearn_learners/classifiers/BinaryStump.h>#include <plearn_learners/classifiers/ClassifierFromConditionalPDistribution.h>#include <plearn_learners/classifiers/ClassifierFromDensity.h>#include <plearn_learners/classifiers/KNNClassifier.h>#include <plearn_learners/classifiers/MultiInstanceNNet.h>#include <plearn_learners/generic/AddCostToLearner.h>#include <plearn_learners/generic/AddLayersNNet.h>#include <plearn_learners/generic/BestAveragingPLearner.h>#include <plearn_learners/generic/NNet.h>#include <plearn_learners/generic/SelectInputSubsetLearner.h>#include <plearn_learners/generic/StackedLearner.h>#include <plearn_learners/generic/TestingLearner.h>#include <plearn_learners/generic/VPLPreprocessedLearner.h>#include <plearn_learners/hyper/HyperLearner.h>#include <plearn_learners/regressors/ConstantRegressor.h>#include <plearn_learners/regressors/CubicSpline.h>#include <plearn_learners/regressors/KernelRidgeRegressor.h>#include <plearn_learners/regressors/KNNRegressor.h>#include <plearn_learners/regressors/GaussianProcessRegressor.h>#include <plearn_learners/regressors/LinearRegressor.h>#include <plearn_learners/regressors/PLS.h>#include <plearn_learners/regressors/RankLearner.h>#include <plearn_learners/regressors/RegressorFromDistribution.h>#include <plearn_learners/unsupervised/Isomap.h>#include <plearn_learners/unsupervised/KernelPCA.h>#include <plearn_learners/unsupervised/LLE.h>#include <plearn_learners/unsupervised/PCA.h>#include <plearn_learners/unsupervised/SpectralClustering.h>#include <plearn_learners/unsupervised/UniformizeLearner.h>#include <plearn_learners/distributions/GaussianDistribution.h>#include <plearn_learners/distributions/GaussMix.h>#include <plearn_learners/distributions/ManifoldParzen2.h>#include <plearn_learners/distributions/ParzenWindow.h>#include <plearn_learners/distributions/RandomGaussMix.h>#include <plearn_learners/distributions/SpiralDistribution.h>#include <plearn_learners/distributions/UniformDistribution.h>#include <plearn_learners/nearest_neighbors/BallTreeNearestNeighbors.h>#include <plearn_learners/nearest_neighbors/ExhaustiveNearestNeighbors.h>#include <plearn_learners/nearest_neighbors/GenericNearestNeighbors.h>#include <plearn_learners_experimental/DeepFeatureExtractorNNet.h>#include <plearn_learners_experimental/LinearInductiveTransferClassifier.h>#include <plearn_learners/online/BackConvolution2DModule.h>#include <plearn_learners/online/BinarizeModule.h>#include <plearn_learners/online/CombiningCostsModule.h>#include <plearn_learners/online/Convolution2DModule.h>#include <plearn_learners/online/CostModule.h>#include <plearn_learners/online/DeepBeliefNet.h>#include <plearn_learners/online/GradNNetLayerModule.h>#include <plearn_learners/online/ModulesLearner.h>#include <plearn_learners/online/ModuleStackModule.h>#include <plearn_learners/online/NLLCostModule.h>#include <plearn_learners/online/OnlineLearningModule.h>#include <plearn_learners/online/RBMModule.h>#include <plearn_learners/online/NetworkModule.h>#include <plearn_learners/online/ModuleLearner.h>#include <plearn_learners/online/NullModule.h>#include <plearn_learners/online/SplitModule.h>#include <plearn_learners/online/LinearCombinationModule.h>#include <plearn_learners/online/RBMBinomialLayer.h>#include <plearn_learners/online/RBMClassificationModule.h>#include <plearn_learners/online/RBMConnection.h>#include <plearn_learners/online/RBMConv2DConnection.h>#include <plearn_learners/online/RBMGaussianLayer.h>#include <plearn_learners/online/RBMLayer.h>#include <plearn_learners/online/RBMMatrixConnection.h>#include <plearn_learners/online/RBMMixedConnection.h>#include <plearn_learners/online/RBMMixedLayer.h>#include <plearn_learners/online/RBMMultinomialLayer.h>#include <plearn_learners/online/RBMTruncExpLayer.h>#include <plearn_learners/online/SoftmaxModule.h>#include <plearn_learners/online/SquaredErrorCostModule.h>#include <plearn_learners/online/Subsampling2DModule.h>#include <plearn_learners/online/Supersampling2DModule.h>#include <plearn_learners/online/TanhModule.h>#include <plearn/vmat/BinSplitter.h>#include <plearn/vmat/ClassSeparationSplitter.h>#include <plearn/vmat/ConcatSetsSplitter.h>#include <plearn/vmat/DBSplitter.h>#include <plearn/vmat/ExplicitSplitter.h>#include <plearn/vmat/FilterSplitter.h>#include <plearn/vmat/FractionSplitter.h>#include <plearn/vmat/KFoldSplitter.h>#include <plearn/vmat/NoSplitSplitter.h>#include <plearn/vmat/MultiTaskSeparationSplitter.h>#include <plearn/vmat/RepeatSplitter.h>#include <plearn/vmat/SourceVMatrixSplitter.h>#include <plearn/vmat/StackedSplitter.h>#include <plearn/vmat/TestInTrainSplitter.h>#include <plearn/vmat/ToBagSplitter.h>#include <plearn/vmat/TrainTestSplitter.h>#include <plearn/vmat/TrainValidTestSplitter.h>#include <plearn/var/MatrixElementsVariable.h>#include <plearn/math/LiftStatsCollector.h>#include <plearn/vmat/AddMissingVMatrix.h>#include <plearn/vmat/AppendNeighborsVMatrix.h>#include <plearn/vmat/AsciiVMatrix.h>#include <plearn/vmat/AutoVMatrix.h>#include <plearn/vmat/BootstrapVMatrix.h>#include <plearn/vmat/CenteredVMatrix.h>#include <plearn/vmat/ClassSubsetVMatrix.h>#include <plearn/vmat/CompactVMatrix.h>#include <plearn/vmat/CompactFileVMatrix.h>#include <plearn/vmat/CompressedVMatrix.h>#include <plearn/vmat/CumVMatrix.h>#include <plearn/vmat/DatedJoinVMatrix.h>#include <plearn/vmat/DisregardRowsVMatrix.h>#include <plearn/vmat/BinaryNumbersVMatrix.h>#include <plearn/vmat/ExtractNNetParamsVMatrix.h>#include <plearn/vmat/FilteredVMatrix.h>#include <plearn/vmat/FinancePreprocVMatrix.h>#include <plearn/vmat/GaussianizeVMatrix.h>#include <plearn/vmat/GeneralizedOneHotVMatrix.h>#include <plearn/vmat/GetInputVMatrix.h>#include <plearn/vmat/GramVMatrix.h>#include <plearn/vmat/IndexedVMatrix.h>#include <plearn/vmat/JulianizeVMatrix.h>#include <plearn/vmat/KNNVMatrix.h>#include <plearn/vmat/KNNImputationVMatrix.h>#include <plearn/vmat/LocalNeighborsDifferencesVMatrix.h>#include <plearn/vmat/LocallyPrecomputedVMatrix.h>#include <plearn/vmat/MeanImputationVMatrix.h>#include <plearn/vmat/MultiInstanceVMatrix.h>#include <plearn/vmat/MultiTargetOneHotVMatrix.h>#include <plearn/vmat/MultiToUniInstanceSelectRandomVMatrix.h>#include <plearn/vmat/OneHotVMatrix.h>#include <plearn/vmat/PLearnerOutputVMatrix.h>#include <plearn/vmat/PairsVMatrix.h>#include <plearn/vmat/PrecomputedVMatrix.h>#include <plearn/vmat/ProcessDatasetVMatrix.h>#include <plearn/vmat/ProcessingVMatrix.h>#include <plearn/vmat/ProcessSymbolicSequenceVMatrix.h>#include <plearn/vmat/RandomSamplesVMatrix.h>#include <plearn/vmat/RankedVMatrix.h>#include <plearn/vmat/RegularGridVMatrix.h>#include <plearn/vmat/RemoveDuplicateVMatrix.h>#include <plearn/vmat/ReorderByMissingVMatrix.h>#include <plearn/vmat/SelectRowsMultiInstanceVMatrix.h>#include <plearn/vmat/ShuffleColumnsVMatrix.h>#include <plearn/vmat/SortRowsVMatrix.h>#include <plearn/vmat/SparseVMatrix.h>#include <plearn/vmat/SplitWiseValidationVMatrix.h>#include <plearn/vmat/SubInputVMatrix.h>#include <plearn/vmat/TemporaryDiskVMatrix.h>#include <plearn/vmat/TemporaryFileVMatrix.h>#include <plearn/vmat/TextFilesVMatrix.h>#include <plearn/vmat/ThresholdVMatrix.h>#include <plearn/vmat/TransposeVMatrix.h>#include <plearn/vmat/UCIDataVMatrix.h>#include <plearn/vmat/UniformizeVMatrix.h>#include <plearn/vmat/VariableDeletionVMatrix.h>#include <plearn/vmat/ViewSplitterVMatrix.h>#include <plearn/vmat/VMatrixFromDistribution.h>#include <plearn_learners_experimental/SurfaceTemplate/ScoreLayerVariable.h>#include <plearn_learners_experimental/SurfaceTemplate/SurfaceTemplateLearner.h>
Go to the source code of this file.
Defines | |
| #define | PLEARN_MAJOR_VERSION 0 |
| #define | PLEARN_MINOR_VERSION 92 |
| #define | PLEARN_FIXLEVEL 0 |
| #define PLEARN_FIXLEVEL 0 |
Definition at line 53 of file plearn_light_inc.h.
| #define PLEARN_MAJOR_VERSION 0 |
Include here all classes available in the PLearn CVS repository that do NOT depend upon fancy external libraries.
Definition at line 51 of file plearn_light_inc.h.
| #define PLEARN_MINOR_VERSION 92 |
Definition at line 52 of file plearn_light_inc.h.
1.7.4