source: trunk/yat/classifier/Makefile.am @ 1855

Last change on this file since 1855 was 1855, checked in by Peter, 13 years ago

a first version of SvmMultiClass? (refs #269)

  • Property svn:eol-style set to native
  • Property svn:keywords set to Author Date ID
File size: 2.2 KB
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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# Copyright (C) 2009 Peter Johansson
7#
8# This file is part of the yat library, http://dev.thep.lu.se/yat
9#
10# The yat library is free software; you can redistribute it and/or
11# modify it under the terms of the GNU General Public License as
12# published by the Free Software Foundation; either version 3 of the
13# License, or (at your option) any later version.
14#
15# The yat library is distributed in the hope that it will be useful,
16# but WITHOUT ANY WARRANTY; without even the implied warranty of
17# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
18# General Public License for more details.
19#
20# You should have received a copy of the GNU General Public License
21# along with yat. If not, see <http://www.gnu.org/licenses/>.
22
23noinst_LTLIBRARIES = libclassifier.la
24libclassifier_la_SOURCES = \
25  BootstrapSampler.cc \
26  ConsensusInputRanker.cc \
27  CrossValidationSampler.cc \
28  DataLookup1D.cc \
29  DataLookupWeighted1D.cc \
30  FeatureSelector.cc \
31  FeatureSelectorIR.cc \
32  FeatureSelectorRandom.cc \
33  GaussianKernelFunction.cc \
34  InputRanker.cc \
35  Kernel.cc \
36  Kernel_MEV.cc \
37  Kernel_SEV.cc \
38  KernelLookup.cc \
39  KNN_Uniform.cc \
40  KNN_ReciprocalDistance.cc \
41  KNN_ReciprocalRank.cc \
42  MatrixLookup.cc \
43  MatrixLookupWeighted.cc \
44  NBC.cc \
45  PolynomialKernelFunction.cc \
46  Sampler.cc \
47  SupervisedClassifier.cc \
48  SVindex.cc \
49  SVM.cc \
50  SvmMultiClass.cc \
51  Target.cc \
52  utility.cc
53
54include_classifierdir = $(includedir)/yat/classifier
55
56include_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  SvmMultiClass.h \
87  SVindex.h \
88  Sampler.h \
89  SubsetGenerator.h \
90  SupervisedClassifier.h \
91  Target.h \
92  utility.h
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