source: trunk/yat/classifier/Makefile.am @ 1324

Last change on this file since 1324 was 1324, checked in by Peter, 13 years ago

Boost is now required (ticket:370). Boost 1.33 is required, which is a
pretty arbitrary number. I happen to have 1.33 installed on my
machine. If someone can test that it works with an earlier version, I
am more than happy to soften this requirement. Currently, there is no
linking to Boost. I added a file yat.am that is included in most of
our Makefile.am, to avoid parallel modifications.

  • Property svn:eol-style set to native
  • Property svn:keywords set to Author Date ID
File size: 2.3 KB
Line 
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://trac.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 2 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 this program; if not, write to the Free Software
21# Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
22# 02111-1307, USA.
23
24include $(top_srcdir)/build_support/yat.am
25
26noinst_LTLIBRARIES = libclassifier.la
27libclassifier_la_SOURCES = \
28  BootstrapSampler.cc \
29  ConsensusInputRanker.cc \
30  CrossValidationSampler.cc \
31  DataLookup1D.cc \
32  DataLookupWeighted1D.cc \
33  FeatureSelector.cc \
34  FeatureSelectorIR.cc \
35  FeatureSelectorRandom.cc \
36  GaussianKernelFunction.cc \
37  InputRanker.cc \
38  Kernel.cc \
39  Kernel_MEV.cc \
40  Kernel_SEV.cc \
41  KernelLookup.cc \
42  KNN_Uniform.cc \
43  KNN_ReciprocalDistance.cc \
44  KNN_ReciprocalRank.cc \
45  MatrixLookup.cc \
46  MatrixLookupWeighted.cc \
47  NBC.cc \
48  PolynomialKernelFunction.cc \
49  Sampler.cc \
50  SupervisedClassifier.cc \
51  SVindex.cc \
52  SVM.cc \
53  Target.cc \
54  utility.cc
55
56include_classifierdir = $(includedir)/yat/classifier
57
58include_classifier_HEADERS = \
59  BootstrapSampler.h \
60  ConsensusInputRanker.h \
61  CrossValidationSampler.h \
62  DataLookup1D.h \
63  DataLookupWeighted1D.h \
64  EnsembleBuilder.h \
65  FeatureSelector.h \
66  FeatureSelectorIR.h \
67  FeatureSelectorRandom.h \
68  GaussianKernelFunction.h \
69  IGP.h \
70  IRRank.h \
71  IRRetrieve.h \
72  InputRanker.h \
73  Kernel.h \
74  KernelFunction.h \
75  KernelLookup.h \
76  Kernel_MEV.h \
77  Kernel_SEV.h \
78  KNN.h \
79  KNN_ReciprocalDistance.h \
80  KNN_ReciprocalRank.h \
81  KNN_Uniform.h \
82  MatrixLookup.h \
83  MatrixLookupWeighted.h \
84  NBC.h \
85  NCC.h \
86  PolynomialKernelFunction.h \
87  SVM.h \
88  SVindex.h \
89  Sampler.h \
90  SubsetGenerator.h \
91  SupervisedClassifier.h \
92  Target.h \
93  utility.h
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