PLearn 0.1
plearn_light_inc.h
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00001 // -*- C++ -*-
00002 
00003 // plearn_inc.h
00004 //
00005 // Copyright (C) 2004-2005 Olivier Delalleau 
00006 // 
00007 // Redistribution and use in source and binary forms, with or without
00008 // modification, are permitted provided that the following conditions are met:
00009 // 
00010 //  1. Redistributions of source code must retain the above copyright
00011 //     notice, this list of conditions and the following disclaimer.
00012 // 
00013 //  2. Redistributions in binary form must reproduce the above copyright
00014 //     notice, this list of conditions and the following disclaimer in the
00015 //     documentation and/or other materials provided with the distribution.
00016 // 
00017 //  3. The name of the authors may not be used to endorse or promote
00018 //     products derived from this software without specific prior written
00019 //     permission.
00020 // 
00021 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
00022 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
00023 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN
00024 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
00025 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
00026 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
00027 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
00028 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
00029 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
00030 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
00031 // 
00032 // This file is part of the PLearn library. For more information on the PLearn
00033 // library, go to the PLearn Web site at www.plearn.org
00034 
00035 /* *******************************************************      
00036  * $Id: plearn_inc.h 6346 2006-10-24 17:02:02Z lamblin $ 
00037  ******************************************************* */
00038 
00039 // Authors: Olivier Delalleau
00040 
00047 #ifndef plearn_inc_INC
00048 #define plearn_inc_INC
00049 
00050 // Version number.
00051 #define PLEARN_MAJOR_VERSION 0
00052 #define PLEARN_MINOR_VERSION 92
00053 #define PLEARN_FIXLEVEL 0
00054 
00055 /*****************
00056  * Miscellaneous *
00057  *****************/
00058 #include <plearn/db/UCISpecification.h>
00059 #include <plearn/io/openUrl.h>
00060 #include <plearn/math/ManualBinner.h>
00061 #include <plearn/math/SoftHistogramBinner.h>
00062 #include <plearn/misc/ShellScript.h>
00063 #include <plearn/misc/RunObject.h>
00064 #include <plearn_learners/misc/Grapher.h>
00065 #include <plearn_learners/misc/VariableSelectionWithDirectedGradientDescent.h>
00066 #include <plearn_learners/testers/PTester.h>
00067 
00068 /***********
00069  * Command *
00070  ***********/
00071 #include <commands/PLearnCommands/AutoRunCommand.h>
00072 #include <commands/PLearnCommands/DiffCommand.h>
00073 #include <commands/PLearnCommands/FieldConvertCommand.h>
00074 #include <commands/PLearnCommands/HelpCommand.h>
00075 #include <commands/PLearnCommands/JulianDateCommand.h>
00076 #include <commands/PLearnCommands/KolmogorovSmirnovCommand.h>
00077 #include <commands/PLearnCommands/LearnerCommand.h>
00078 #include <commands/PLearnCommands/PairwiseDiffsCommand.h>
00079 #include <commands/PLearnCommands/ReadAndWriteCommand.h>
00080 #include <commands/PLearnCommands/RunCommand.h>
00081 #include <commands/PLearnCommands/ServerCommand.h>
00082 #include <commands/PLearnCommands/TestDependenciesCommand.h>
00083 #include <commands/PLearnCommands/TestDependencyCommand.h>
00084 //#include <commands/PLearnCommands/TxtmatCommand.h>
00085 
00086 
00087 /**************
00088  * Dictionary *
00089  **************/
00090 #include <plearn/dict/Dictionary.h>
00091 #include <plearn/dict/FileDictionary.h>
00092 #include <plearn/dict/VecDictionary.h>
00093 #include <plearn/dict/ConditionalDictionary.h>
00094 
00095 /****************
00096  * HyperCommand *
00097  ****************/
00098 #include <plearn_learners/hyper/HyperOptimize.h>
00099 #include <plearn_learners/hyper/HyperRetrain.h>
00100 #include <plearn_learners/hyper/HyperSetOption.h>
00101 
00102 /**********
00103  * Kernel *
00104  **********/
00105 #include <plearn/ker/AdditiveNormalizationKernel.h>
00106 #include <plearn/ker/DistanceKernel.h>
00107 #include <plearn/ker/DotProductKernel.h>
00108 #include <plearn/ker/EpanechnikovKernel.h>
00109 #include <plearn/ker/GaussianKernel.h>
00110 #include <plearn/ker/GeodesicDistanceKernel.h>
00111 #include <plearn/ker/LLEKernel.h>
00112 #include <plearn/ker/NegOutputCostFunction.h>
00113 //#include <plearn/ker/PolynomialKernel.h>
00114 #include <plearn/ker/ReconstructionWeightsKernel.h>
00115 #include <plearn/ker/ThresholdedKernel.h>
00116 #include <plearn/ker/VMatKernel.h>
00117 
00118 /*************
00119  * Optimizer *
00120  *************/
00121 #include <plearn/opt/AdaptGradientOptimizer.h>
00122 #include <plearn/opt/ConjGradientOptimizer.h>
00123 #include <plearn/opt/GradientOptimizer.h>
00124 
00125 /****************
00126  * OptionOracle *
00127  ****************/
00128 #include <plearn_learners/hyper/CartesianProductOracle.h>
00129 #include <plearn_learners/hyper/EarlyStoppingOracle.h>
00130 #include <plearn_learners/hyper/ExplicitListOracle.h>
00131 #include <plearn_learners/hyper/OptimizeOptionOracle.h>
00132 
00133 /************
00134  * PLearner *
00135  ************/
00136 
00137 // Classifiers
00138 #include <plearn_learners/meta/AdaBoost.h>
00139 #include <plearn_learners/classifiers/BinaryStump.h>
00140 #include <plearn_learners/classifiers/ClassifierFromConditionalPDistribution.h>
00141 #include <plearn_learners/classifiers/ClassifierFromDensity.h>
00142 #include <plearn_learners/classifiers/KNNClassifier.h>
00143 //#include <plearn_learners/classifiers/SVMClassificationTorch.h>
00144 #include <plearn_learners/classifiers/MultiInstanceNNet.h>
00145 //#include <plearn_learners/classifiers/OverlappingAdaBoost.h> // Does not currently compile.
00146 
00147 // Generic
00148 #include <plearn_learners/generic/AddCostToLearner.h>
00149 #include <plearn_learners/generic/AddLayersNNet.h>
00150 #include <plearn_learners/generic/BestAveragingPLearner.h>
00151 //#include <plearn_learners/generic/DistRepNNet.h>
00152 #include <plearn_learners/generic/NNet.h>
00153 #include <plearn_learners/generic/SelectInputSubsetLearner.h>
00154 #include <plearn_learners/generic/StackedLearner.h>
00155 #include <plearn_learners/generic/TestingLearner.h>
00156 #include <plearn_learners/generic/VPLPreprocessedLearner.h>
00157 
00158 // Hyper
00159 #include <plearn_learners/hyper/HyperLearner.h>
00160 
00161 // Regressors
00162 #include <plearn_learners/regressors/ConstantRegressor.h>
00163 #include <plearn_learners/regressors/CubicSpline.h>
00164 #include <plearn_learners/regressors/KernelRidgeRegressor.h>
00165 #include <plearn_learners/regressors/KNNRegressor.h>
00166 #include <plearn_learners/regressors/GaussianProcessRegressor.h>
00167 #include <plearn_learners/regressors/LinearRegressor.h>
00168 #include <plearn_learners/regressors/PLS.h>
00169 #include <plearn_learners/regressors/RankLearner.h>
00170 #include <plearn_learners/regressors/RegressorFromDistribution.h>
00171 
00172 // Unsupervised/KernelProjection
00173 #include <plearn_learners/unsupervised/Isomap.h>
00174 #include <plearn_learners/unsupervised/KernelPCA.h>
00175 #include <plearn_learners/unsupervised/LLE.h>
00176 #include <plearn_learners/unsupervised/PCA.h>
00177 #include <plearn_learners/unsupervised/SpectralClustering.h>
00178 #include <plearn_learners/unsupervised/UniformizeLearner.h>
00179 
00180 // PDistribution
00181 #include <plearn_learners/distributions/GaussianDistribution.h>
00182 #include <plearn_learners/distributions/GaussMix.h>
00183 #include <plearn_learners/distributions/ManifoldParzen2.h>
00184 #include <plearn_learners/distributions/ParzenWindow.h>
00185 #include <plearn_learners/distributions/RandomGaussMix.h>
00186 #include <plearn_learners/distributions/SpiralDistribution.h>
00187 #include <plearn_learners/distributions/UniformDistribution.h>
00188 
00189 // Nearest-Neighbors
00190 #include <plearn_learners/nearest_neighbors/BallTreeNearestNeighbors.h>
00191 #include <plearn_learners/nearest_neighbors/ExhaustiveNearestNeighbors.h>
00192 #include <plearn_learners/nearest_neighbors/GenericNearestNeighbors.h>
00193 
00194 // Experimental
00195 #include <plearn_learners_experimental/DeepFeatureExtractorNNet.h>
00196 #include <plearn_learners_experimental/LinearInductiveTransferClassifier.h>
00197 
00198 // Online
00199 #include <plearn_learners/online/BackConvolution2DModule.h>
00200 #include <plearn_learners/online/BinarizeModule.h>
00201 #include <plearn_learners/online/CombiningCostsModule.h>
00202 #include <plearn_learners/online/Convolution2DModule.h>
00203 #include <plearn_learners/online/CostModule.h>
00204 #include <plearn_learners/online/DeepBeliefNet.h>
00205 #include <plearn_learners/online/GradNNetLayerModule.h>
00206 #include <plearn_learners/online/ModulesLearner.h>
00207 #include <plearn_learners/online/ModuleStackModule.h>
00208 #include <plearn_learners/online/NLLCostModule.h>
00209 #include <plearn_learners/online/OnlineLearningModule.h>
00210 #include <plearn_learners/online/RBMModule.h>
00211 #include <plearn_learners/online/NetworkModule.h>
00212 #include <plearn_learners/online/ModuleLearner.h>
00213 #include <plearn_learners/online/NullModule.h>
00214 #include <plearn_learners/online/SplitModule.h>
00215 #include <plearn_learners/online/LinearCombinationModule.h>
00216 #include <plearn_learners/online/RBMBinomialLayer.h>
00217 #include <plearn_learners/online/RBMClassificationModule.h>
00218 #include <plearn_learners/online/RBMConnection.h>
00219 #include <plearn_learners/online/RBMConv2DConnection.h>
00220 #include <plearn_learners/online/RBMGaussianLayer.h>
00221 #include <plearn_learners/online/RBMLayer.h>
00222 #include <plearn_learners/online/RBMMatrixConnection.h>
00223 #include <plearn_learners/online/RBMMixedConnection.h>
00224 #include <plearn_learners/online/RBMMixedLayer.h>
00225 #include <plearn_learners/online/RBMMultinomialLayer.h>
00226 #include <plearn_learners/online/RBMTruncExpLayer.h>
00227 #include <plearn_learners/online/SoftmaxModule.h>
00228 #include <plearn_learners/online/SquaredErrorCostModule.h>
00229 #include <plearn_learners/online/Subsampling2DModule.h>
00230 #include <plearn_learners/online/Supersampling2DModule.h>
00231 #include <plearn_learners/online/TanhModule.h>
00232 
00233 /************
00234  * Splitter *
00235  ************/
00236 #include <plearn/vmat/BinSplitter.h>
00237 #include <plearn/vmat/ClassSeparationSplitter.h>
00238 #include <plearn/vmat/ConcatSetsSplitter.h>
00239 #include <plearn/vmat/DBSplitter.h>
00240 #include <plearn/vmat/ExplicitSplitter.h>
00241 #include <plearn/vmat/FilterSplitter.h>
00242 #include <plearn/vmat/FractionSplitter.h>
00243 #include <plearn/vmat/KFoldSplitter.h>
00244 #include <plearn/vmat/NoSplitSplitter.h>
00245 #include <plearn/vmat/MultiTaskSeparationSplitter.h>
00246 #include <plearn/vmat/RepeatSplitter.h>
00247 #include <plearn/vmat/SourceVMatrixSplitter.h>
00248 #include <plearn/vmat/StackedSplitter.h>
00249 #include <plearn/vmat/TestInTrainSplitter.h>
00250 #include <plearn/vmat/ToBagSplitter.h>
00251 #include <plearn/vmat/TrainTestSplitter.h>
00252 #include <plearn/vmat/TrainValidTestSplitter.h>
00253 
00254 /************
00255  * Variable *
00256  ************/
00257 #include <plearn/var/MatrixElementsVariable.h>
00258 
00259 /*********************
00260  * VecStatsCollector *
00261  *********************/
00262 #include <plearn/math/LiftStatsCollector.h>
00263 
00264 /***********
00265  * VMatrix *
00266  ***********/
00267 #include <plearn/vmat/AddMissingVMatrix.h>
00268 #include <plearn/vmat/AppendNeighborsVMatrix.h>
00269 #include <plearn/vmat/AsciiVMatrix.h>
00270 #include <plearn/vmat/AutoVMatrix.h>
00271 #include <plearn/vmat/BootstrapVMatrix.h>
00272 #include <plearn/vmat/CenteredVMatrix.h>
00273 #include <plearn/vmat/ClassSubsetVMatrix.h>
00274 #include <plearn/vmat/CompactVMatrix.h>
00275 #include <plearn/vmat/CompactFileVMatrix.h>
00276 #include <plearn/vmat/CompressedVMatrix.h>
00277 #include <plearn/vmat/CumVMatrix.h>
00278 #include <plearn/vmat/DatedJoinVMatrix.h>
00279 // #include <plearn/vmat/DictionaryVMatrix.h>
00280 #include <plearn/vmat/DisregardRowsVMatrix.h>
00281 #include <plearn/vmat/BinaryNumbersVMatrix.h>
00282 #include <plearn/vmat/ExtractNNetParamsVMatrix.h>
00283 #include <plearn/vmat/FilteredVMatrix.h>
00284 #include <plearn/vmat/FinancePreprocVMatrix.h>
00285 #include <plearn/vmat/GaussianizeVMatrix.h>
00286 #include <plearn/vmat/GeneralizedOneHotVMatrix.h>
00287 #include <plearn/vmat/GetInputVMatrix.h>
00288 #include <plearn/vmat/GramVMatrix.h>
00289 #include <plearn/vmat/IndexedVMatrix.h>
00290 #include <plearn/vmat/JulianizeVMatrix.h>
00291 #include <plearn/vmat/KNNVMatrix.h>
00292 #include <plearn/vmat/KNNImputationVMatrix.h>
00293 // Commented out because triggers WordNet, which does not work really fine yet.
00294 //#include <plearn/vmat/LemmatizeVMatrix.h>
00295 #include <plearn/vmat/LocalNeighborsDifferencesVMatrix.h>
00296 #include <plearn/vmat/LocallyPrecomputedVMatrix.h>
00297 #include <plearn/vmat/MeanImputationVMatrix.h>
00298 //#include <plearn/vmat/MixUnlabeledNeighbourVMatrix.h>
00299 #include <plearn/vmat/MultiInstanceVMatrix.h>
00300 #include <plearn/vmat/MultiTargetOneHotVMatrix.h>
00301 #include <plearn/vmat/MultiToUniInstanceSelectRandomVMatrix.h>
00302 #include <plearn/vmat/OneHotVMatrix.h>
00303 #include <plearn/vmat/PLearnerOutputVMatrix.h>
00304 #include <plearn/vmat/PairsVMatrix.h>
00305 #include <plearn/vmat/PrecomputedVMatrix.h>
00306 #include <plearn/vmat/ProcessDatasetVMatrix.h>
00307 #include <plearn/vmat/ProcessingVMatrix.h>
00308 #include <plearn/vmat/ProcessSymbolicSequenceVMatrix.h>
00309 #include <plearn/vmat/RandomSamplesVMatrix.h>
00310 #include <plearn/vmat/RankedVMatrix.h>
00311 #include <plearn/vmat/RegularGridVMatrix.h>
00312 #include <plearn/vmat/RemoveDuplicateVMatrix.h>
00313 #include <plearn/vmat/ReorderByMissingVMatrix.h>
00314 //#include <plearn/vmat/SelectAttributsSequenceVMatrix.h>
00315 #include <plearn/vmat/SelectRowsMultiInstanceVMatrix.h>
00316 #include <plearn/vmat/ShuffleColumnsVMatrix.h>
00317 #include <plearn/vmat/SortRowsVMatrix.h>
00318 #include <plearn/vmat/SparseVMatrix.h>
00319 #include <plearn/vmat/SplitWiseValidationVMatrix.h>
00320 #include <plearn/vmat/SubInputVMatrix.h>
00321 #include <plearn/vmat/TemporaryDiskVMatrix.h>
00322 #include <plearn/vmat/TemporaryFileVMatrix.h>
00323 #include <plearn/vmat/TextFilesVMatrix.h>
00324 #include <plearn/vmat/ThresholdVMatrix.h>
00325 #include <plearn/vmat/TransposeVMatrix.h>
00326 #include <plearn/vmat/UCIDataVMatrix.h>
00327 #include <plearn/vmat/UniformizeVMatrix.h>
00328 #include <plearn/vmat/VariableDeletionVMatrix.h>
00329 #include <plearn/vmat/ViewSplitterVMatrix.h>
00330 #include <plearn/vmat/VMatrixFromDistribution.h>
00331 
00332 
00333 /*******************
00334  * SurfaceTemplate *
00335  ******************/
00336 #include <plearn_learners_experimental/SurfaceTemplate/ScoreLayerVariable.h>
00337 #include <plearn_learners_experimental/SurfaceTemplate/SurfaceTemplateLearner.h>
00338 
00339 
00340 #endif
00341 
00342 
00343 /*
00344   Local Variables:
00345   mode:c++
00346   c-basic-offset:4
00347   c-file-style:"stroustrup"
00348   c-file-offsets:((innamespace . 0)(inline-open . 0))
00349   indent-tabs-mode:nil
00350   fill-column:79
00351   End:
00352 */
00353 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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