1 | ## Process this file with automake to produce Makefile.in |
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2 | ## |
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3 | ## $Id$ |
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4 | |
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5 | # Copyright (C) 2005, 2006 Jari Häkkinen, Markus Ringnér, Peter Johansson |
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6 | # Copyright (C) 2007, 2008 Jari Häkkinen, Peter Johansson |
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7 | # |
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8 | # This file is part of the yat library, http://trac.thep.lu.se/yat |
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9 | # |
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10 | # The yat library is free software; you can redistribute it and/or |
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11 | # modify it under the terms of the GNU General Public License as |
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12 | # published by the Free Software Foundation; either version 2 of the |
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13 | # License, or (at your option) any later version. |
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14 | # |
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15 | # The yat library is distributed in the hope that it will be useful, |
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16 | # but WITHOUT ANY WARRANTY; without even the implied warranty of |
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17 | # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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18 | # General Public License for more details. |
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19 | # |
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20 | # You should have received a copy of the GNU General Public License |
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21 | # along with this program; if not, write to the Free Software |
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22 | # Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA |
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23 | # 02111-1307, USA. |
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24 | |
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25 | AM_CPPFLAGS = -I@top_srcdir@ |
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26 | |
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27 | noinst_LTLIBRARIES = libclassifier.la |
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28 | libclassifier_la_SOURCES = \ |
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29 | BootstrapSampler.cc \ |
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30 | ConsensusInputRanker.cc \ |
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31 | CrossValidationSampler.cc \ |
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32 | DataLookup1D.cc \ |
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33 | DataLookupWeighted1D.cc \ |
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34 | FeatureSelector.cc \ |
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35 | FeatureSelectorIR.cc \ |
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36 | FeatureSelectorRandom.cc \ |
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37 | GaussianKernelFunction.cc \ |
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38 | InputRanker.cc \ |
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39 | Kernel.cc \ |
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40 | Kernel_MEV.cc \ |
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41 | Kernel_SEV.cc \ |
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42 | KernelLookup.cc \ |
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43 | KNN_Uniform.cc \ |
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44 | KNN_ReciprocalDistance.cc \ |
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45 | KNN_ReciprocalRank.cc \ |
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46 | MatrixLookup.cc \ |
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47 | MatrixLookupWeighted.cc \ |
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48 | NBC.cc \ |
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49 | PolynomialKernelFunction.cc \ |
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50 | Sampler.cc \ |
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51 | SupervisedClassifier.cc \ |
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52 | SVindex.cc \ |
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53 | SVM.cc \ |
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54 | Target.cc \ |
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55 | utility.cc |
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56 | |
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57 | include_classifierdir = $(includedir)/yat/classifier |
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58 | |
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59 | include_classifier_HEADERS = \ |
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60 | BootstrapSampler.h \ |
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61 | ConsensusInputRanker.h \ |
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62 | CrossValidationSampler.h \ |
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63 | DataLookup1D.h \ |
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64 | DataLookupWeighted1D.h \ |
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65 | EnsembleBuilder.h \ |
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66 | FeatureSelector.h \ |
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67 | FeatureSelectorIR.h \ |
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68 | FeatureSelectorRandom.h \ |
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69 | GaussianKernelFunction.h \ |
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70 | IGP.h \ |
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71 | IRRank.h \ |
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72 | IRRetrieve.h \ |
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73 | InputRanker.h \ |
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74 | Kernel.h \ |
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75 | KernelFunction.h \ |
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76 | KernelLookup.h \ |
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77 | Kernel_MEV.h \ |
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78 | Kernel_SEV.h \ |
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79 | KNN.h \ |
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80 | KNN_ReciprocalDistance.h \ |
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81 | KNN_ReciprocalRank.h \ |
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82 | KNN_Uniform.h \ |
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83 | MatrixLookup.h \ |
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84 | MatrixLookupWeighted.h \ |
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85 | NBC.h \ |
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86 | NCC.h \ |
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87 | PolynomialKernelFunction.h \ |
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88 | SVM.h \ |
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89 | SVindex.h \ |
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90 | Sampler.h \ |
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91 | SubsetGenerator.h \ |
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92 | SupervisedClassifier.h \ |
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93 | Target.h \ |
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94 | utility.h |
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