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