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