source: trunk/yat/classifier/Makefile.am @ 1580

Last change on this file since 1580 was 1493, checked in by Peter, 13 years ago

got problems with yat.am in distcheck - easiest solution was to delete it as we dont use it anymore

  • Property svn:eol-style set to native
  • Property svn:keywords set to Author Date ID
File size: 2.2 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://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
22noinst_LTLIBRARIES = libclassifier.la
23libclassifier_la_SOURCES = \
24  BootstrapSampler.cc \
25  ConsensusInputRanker.cc \
26  CrossValidationSampler.cc \
27  DataLookup1D.cc \
28  DataLookupWeighted1D.cc \
29  FeatureSelector.cc \
30  FeatureSelectorIR.cc \
31  FeatureSelectorRandom.cc \
32  GaussianKernelFunction.cc \
33  InputRanker.cc \
34  Kernel.cc \
35  Kernel_MEV.cc \
36  Kernel_SEV.cc \
37  KernelLookup.cc \
38  KNN_Uniform.cc \
39  KNN_ReciprocalDistance.cc \
40  KNN_ReciprocalRank.cc \
41  MatrixLookup.cc \
42  MatrixLookupWeighted.cc \
43  NBC.cc \
44  PolynomialKernelFunction.cc \
45  Sampler.cc \
46  SupervisedClassifier.cc \
47  SVindex.cc \
48  SVM.cc \
49  Target.cc \
50  utility.cc
51
52include_classifierdir = $(includedir)/yat/classifier
53
54include_classifier_HEADERS = \
55  BootstrapSampler.h \
56  ConsensusInputRanker.h \
57  CrossValidationSampler.h \
58  DataLookup1D.h \
59  DataLookupWeighted1D.h \
60  EnsembleBuilder.h \
61  FeatureSelector.h \
62  FeatureSelectorIR.h \
63  FeatureSelectorRandom.h \
64  GaussianKernelFunction.h \
65  IGP.h \
66  IRRank.h \
67  IRRetrieve.h \
68  InputRanker.h \
69  Kernel.h \
70  KernelFunction.h \
71  KernelLookup.h \
72  Kernel_MEV.h \
73  Kernel_SEV.h \
74  KNN.h \
75  KNN_ReciprocalDistance.h \
76  KNN_ReciprocalRank.h \
77  KNN_Uniform.h \
78  MatrixLookup.h \
79  MatrixLookupWeighted.h \
80  NBC.h \
81  NCC.h \
82  PolynomialKernelFunction.h \
83  SVM.h \
84  SVindex.h \
85  Sampler.h \
86  SubsetGenerator.h \
87  SupervisedClassifier.h \
88  Target.h \
89  utility.h
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