PLearn 0.1
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00001 // -*- C++ -*- 00002 00003 // plearn.cc 00004 // Copyright (C) 2002 Pascal Vincent, Julien Keable, Xavier Saint-Mleux, Rejean Ducharme 00005 // 00006 // Redistribution and use in source and binary forms, with or without 00007 // modification, are permitted provided that the following conditions are met: 00008 // 00009 // 1. Redistributions of source code must retain the above copyright 00010 // notice, this list of conditions and the following disclaimer. 00011 // 00012 // 2. Redistributions in binary form must reproduce the above copyright 00013 // notice, this list of conditions and the following disclaimer in the 00014 // documentation and/or other materials provided with the distribution. 00015 // 00016 // 3. The name of the authors may not be used to endorse or promote 00017 // products derived from this software without specific prior written 00018 // permission. 00019 // 00020 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR 00021 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES 00022 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN 00023 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, 00024 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED 00025 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00026 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00027 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00028 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00029 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00030 // 00031 // This file is part of the PLearn library. For more information on the PLearn 00032 // library, go to the PLearn Web site at www.plearn.org 00033 00034 00035 /* ******************************************************* 00036 * $Id: plearn_light.cc 3635 2005-06-22 19:58:47Z plearner $ 00037 ******************************************************* */ 00038 00040 #define PLEARN_MAJOR_VERSION 0 00041 #define PLEARN_MINOR_VERSION 92 00042 #define PLEARN_FIXLEVEL 0 00043 00044 /***************** 00045 * Miscellaneous * 00046 *****************/ 00047 // #include <plearn_learners/misc/Grapher.h> 00048 // #include <plearn_learners/misc/VariableSelectionWithDirectedGradientDescent.h> 00049 // #include <plearn/math/ManualBinner.h> 00050 // #include <plearn/math/SoftHistogramBinner.h> 00051 // #include <plearn/misc/ShellScript.h> 00052 // #include <plearn/misc/RunObject.h> 00053 // #include <plearn/db/UCISpecification.h> 00054 // #include <plearn_learners/testers/PTester.h> 00055 00056 /*********** 00057 * Command * 00058 ***********/ 00059 // #include <commands/PLearnCommands/AutoRunCommand.h> 00060 // #include <commands/PLearnCommands/FieldConvertCommand.h> 00061 #include <commands/PLearnCommands/HelpCommand.h> 00062 // #include <commands/PLearnCommands/JulianDateCommand.h> 00063 // #include <commands/PLearnCommands/KolmogorovSmirnovCommand.h> 00064 #include <commands/PLearnCommands/LearnerCommand.h> 00065 // #include <commands/PLearnCommands/ReadAndWriteCommand.h> 00066 #include <commands/PLearnCommands/RunCommand.h> 00067 // #include <commands/PLearnCommands/ServerCommand.h> 00068 // #include <commands/PLearnCommands/TestDependenciesCommand.h> 00069 // #include <commands/PLearnCommands/TestDependencyCommand.h> 00070 // #include <commands/PLearnCommands/TxtmatCommand.h> 00071 00072 #include <commands/PLearnCommands/VMatCommand.h> 00073 // #include <commands/PLearnCommands/HTMLHelpCommand.h> 00074 00075 /************** 00076 * Dictionary * 00077 **************/ 00078 // #include <plearn/dict/Dictionary.h> 00079 // #include <plearn/dict/FileDictionary.h> 00080 // #include <plearn/dict/VecDictionary.h> 00081 00082 /**************** 00083 * HyperCommand * 00084 ****************/ 00085 // #include <plearn_learners/hyper/HyperOptimize.h> 00086 // #include <plearn_learners/hyper/HyperRetrain.h> 00087 00088 /********** 00089 * Kernel * 00090 **********/ 00091 // #include <plearn/ker/AdditiveNormalizationKernel.h> 00092 // #include <plearn/ker/DistanceKernel.h> 00093 // #include <plearn/ker/DotProductKernel.h> 00094 // #include <plearn/ker/EpanechnikovKernel.h> 00095 // #include <plearn/ker/GaussianKernel.h> 00096 // #include <plearn/ker/GeodesicDistanceKernel.h> 00097 // #include <plearn/ker/LLEKernel.h> 00098 // #include <plearn/ker/NegOutputCostFunction.h> 00099 // #include <plearn/ker/ReconstructionWeightsKernel.h> 00100 // #include <plearn/ker/ThresholdedKernel.h> 00101 // #include <plearn/ker/VMatKernel.h> 00102 00103 /************* 00104 * Optimizer * 00105 *************/ 00106 // #include <plearn/opt/AdaptGradientOptimizer.h> 00107 // #include <plearn/opt/ConjGradientOptimizer.h> 00108 // #include <plearn/opt/GradientOptimizer.h> 00109 00110 /**************** 00111 * OptionOracle * 00112 ****************/ 00113 // #include <plearn_learners/hyper/CartesianProductOracle.h> 00114 // #include <plearn_learners/hyper/EarlyStoppingOracle.h> 00115 // #include <plearn_learners/hyper/ExplicitListOracle.h> 00116 // #include <plearn_learners/hyper/OptimizeOptionOracle.h> 00117 00118 /************ 00119 * PLearner * 00120 ************/ 00121 00122 // Classifiers 00123 // #include <plearn_learners/meta/AdaBoost.h> 00124 // #include <plearn_learners/classifiers/BinaryStump.h> 00125 // #include <plearn_learners/classifiers/ClassifierFromDensity.h> 00126 // #include <plearn_learners/classifiers/KNNClassifier.h> 00127 // #include <plearn_learners/classifiers/MultiInstanceNNet.h> 00128 //#include <plearn_learners/classifiers/OverlappingAdaBoost.h> // Does not currently compile. 00129 00130 // Generic 00131 // #include <plearn_learners/generic/AddCostToLearner.h> 00132 // #include <plearn_learners/generic/AddLayersNNet.h> 00133 // #include <plearn_learners/generic/NNet.h> 00134 // #include <plearn_learners/generic/SelectInputSubsetLearner.h> 00135 // #include <plearn_learners/generic/StackedLearner.h> 00136 // #include <plearn_learners/generic/TestingLearner.h> 00137 00138 // Hyper 00139 // #include <plearn_learners/hyper/HyperLearner.h> 00140 // 00141 // Regressors 00142 // #include <plearn_learners/regressors/ConstantRegressor.h> 00143 // #include <plearn_learners/regressors/KNNRegressor.h> 00144 #include <plearn_learners/regressors/LinearRegressor.h> 00145 // #include <plearn_learners/regressors/PLS.h> 00146 // #include <plearn_learners/regressors/RankLearner.h> 00147 00148 // Distribution (deprecated) 00149 // #include <plearn_learners/distributions/LocallyWeightedDistribution.h> 00150 00151 // Unsupervised/KernelProjection 00152 // #include <plearn_learners/unsupervised/Isomap.h> 00153 // #include <plearn_learners/unsupervised/KernelPCA.h> 00154 // #include <plearn_learners/unsupervised/LLE.h> 00155 // #include <plearn_learners/unsupervised/PCA.h> 00156 // #include <plearn_learners/unsupervised/SpectralClustering.h> 00157 // #include <plearn_learners/unsupervised/UniformizeLearner.h> 00158 00159 // PDistribution 00160 // #include <plearn_learners/distributions/ConditionalDensityNet.h> 00161 // #include <plearn_learners/distributions/GaussianDistribution.h> 00162 // #include <plearn_learners/distributions/GaussianContinuumDistribution.h> 00163 // #include <plearn_learners/distributions/ManifoldParzen2.h> 00164 #include <plearn_learners/distributions/ParzenWindow.h> 00165 // #include <plearn_learners/distributions/SpiralDistribution.h> 00166 // #include <plearn_learners/distributions/UniformDistribution.h> 00167 00168 // Nearest-Neighbors 00169 // #include <plearn_learners/nearest_neighbors/ExhaustiveNearestNeighbors.h> 00170 // #include <plearn_learners/nearest_neighbors/GenericNearestNeighbors.h> 00171 00172 /************ 00173 * Splitter * 00174 ************/ 00175 // #include <plearn/vmat/BinSplitter.h> 00176 // #include <plearn/vmat/ConcatSetsSplitter.h> 00177 // #include <plearn/vmat/DBSplitter.h> 00178 // #include <plearn/vmat/ExplicitSplitter.h> 00179 // #include <plearn/vmat/FilterSplitter.h> 00180 // #include <plearn/vmat/FractionSplitter.h> 00181 // #include <plearn/vmat/KFoldSplitter.h> 00182 // #include <plearn/vmat/NoSplitSplitter.h> 00183 // #include <plearn/vmat/RepeatSplitter.h> 00184 // #include <plearn/vmat/SourceVMatrixSplitter.h> 00185 // #include <plearn/vmat/StackedSplitter.h> 00186 // #include <plearn/vmat/TestInTrainSplitter.h> 00187 // #include <plearn/vmat/ToBagSplitter.h> 00188 // #include <plearn/vmat/TrainTestSplitter.h> 00189 // #include <plearn/vmat/TrainValidTestSplitter.h> 00190 // #include <plearn/vmat/UCIDataVMatrix.h> 00191 00192 /************ 00193 * Variable * 00194 ************/ 00195 // #include <plearn/var/MatrixElementsVariable.h> 00196 00197 /********************* 00198 * VecStatsCollector * 00199 *********************/ 00200 // #include <plearn/math/LiftStatsCollector.h> 00201 00202 /*********** 00203 * VMatrix * 00204 ***********/ 00205 // #include <plearn/vmat/AsciiVMatrix.h> 00206 // #include <plearn/vmat/AutoVMatrix.h> 00207 // #include <plearn/vmat/BatchVMatrix.h> 00208 // #include <plearn/vmat/BootstrapVMatrix.h> 00209 // #include <plearn/vmat/CenteredVMatrix.h> 00210 // #include <plearn/vmat/CompactVMatrix.h> 00211 // #include <plearn/vmat/CompressedVMatrix.h> 00212 // #include <plearn/vmat/CumVMatrix.h> 00213 // #include <plearn/vmat/DatedJoinVMatrix.h> 00214 // #include <plearn/vmat/DictionaryVMatrix.h> 00215 // #include <plearn/vmat/DisregardRowsVMatrix.h> 00216 // #include <plearn/vmat/ExtractNNetParamsVMatrix.h> 00217 // #include <plearn/vmat/FilteredVMatrix.h> 00218 // #include <plearn/vmat/FinancePreprocVMatrix.h> 00219 // #include <plearn/vmat/GeneralizedOneHotVMatrix.h> 00220 // #include <plearn/vmat/GetInputVMatrix.h> 00221 // #include <plearn/vmat/GramVMatrix.h> 00222 // #include <plearn/vmat/IndexedVMatrix.h> 00223 // #include <plearn/vmat/JulianizeVMatrix.h> 00224 // #include <plearn/vmat/KNNVMatrix.h> 00225 // #include <plearn/vmat/LocalNeighborsDifferencesVMatrix.h> 00226 // #include <plearn/vmat/LocallyPrecomputedVMatrix.h> 00227 // #include <plearn/vmat/MultiInstanceVMatrix.h> 00228 // #include <plearn/vmat/MultiToUniInstanceSelectRandomVMatrix.h> 00229 // #include <plearn/vmat/OneHotVMatrix.h> 00230 // #include <plearn/vmat/PLearnerOutputVMatrix.h> 00231 // #include <plearn/vmat/PairsVMatrix.h> 00232 // #include <plearn/vmat/PrecomputedVMatrix.h> 00233 // #include <plearn/vmat/ProcessingVMatrix.h> 00234 // #include <plearn/vmat/RankedVMatrix.h> 00235 // #include <plearn/vmat/RegularGridVMatrix.h> 00236 // #include <plearn/vmat/RemoveDuplicateVMatrix.h> 00237 // #include <plearn/vmat/SelectAttributsSequenceVMatrix.h> 00238 // #include <plearn/vmat/ShuffleColumnsVMatrix.h> 00239 // #include <plearn/vmat/SortRowsVMatrix.h> 00240 // #include <plearn/vmat/SparseVMatrix.h> 00241 // #include <plearn/vmat/SubInputVMatrix.h> 00242 // #include <plearn/vmat/TextFilesVMatrix.h> 00243 // #include <plearn/vmat/ThresholdVMatrix.h> 00244 // #include <plearn/vmat/TransposeVMatrix.h> 00245 // #include <plearn/vmat/VMatrixFromDistribution.h> 00246 // #include <plearn/vmat/ViewSplitterVMatrix.h> 00247 #include <plearn/vmat/SelectRowsVMatrix.h> 00248 00249 00250 00251 #include "PLearnCommands/plearn_main.h" 00252 00253 using namespace PLearn; 00254 00255 int main(int argc, char** argv) 00256 { 00257 return plearn_main( argc, argv, 00258 PLEARN_MAJOR_VERSION, 00259 PLEARN_MINOR_VERSION, 00260 PLEARN_FIXLEVEL ); 00261 } 00262 00263 00264 /* 00265 Local Variables: 00266 mode:c++ 00267 c-basic-offset:4 00268 c-file-style:"stroustrup" 00269 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00270 indent-tabs-mode:nil 00271 fill-column:79 00272 End: 00273 */ 00274 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :