Last change
on this file since 353 was
353,
checked in by Peter, 17 years ago
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removed function returning the whole matrix. It is not needed anymore and should not be there for simplistic reasons.
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Property svn:eol-style set to
native
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Property svn:keywords set to
Author Date Id Revision
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File size:
945 bytes
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1 | // $Id: GaussianKernelFunction.cc 353 2005-06-08 23:28:35Z peter $ |
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2 | |
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3 | #include <c++_tools/svm/GaussianKernelFunction.h> |
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4 | |
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5 | #include <c++_tools/svm/KernelFunction.h> |
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6 | #include <c++_tools/gslapi/matrix.h> |
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7 | #include <c++_tools/gslapi/vector.h> |
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8 | |
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9 | #include <math.h> |
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10 | |
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11 | namespace theplu { |
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12 | namespace svm { |
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13 | |
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14 | GaussianKernelFunction::GaussianKernelFunction(double sigma) |
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15 | : KernelFunction(), sigma_(sigma) |
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16 | { |
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17 | } |
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18 | |
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19 | double GaussianKernelFunction::operator()(const gslapi::vector& a1, |
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20 | const gslapi::vector& a2, |
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21 | const gslapi::vector& w1, |
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22 | const gslapi::vector& w2) const |
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23 | { |
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24 | double distance = 0; |
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25 | double normalization_factor = 0; |
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26 | for (size_t i=0; i<a1.size(); i++) { |
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27 | distance += w1(i) * w2(i) * (a1(i)-a2(i)) * (a1(i)-a2(i)); |
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28 | normalization_factor += w1(i) * w2(i); |
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29 | } |
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30 | // to make it coherent with no weight case |
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31 | normalization_factor /= a1.size(); |
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32 | return exp(distance/normalization_factor/pow(sigma_,2)); |
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33 | } |
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34 | |
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35 | |
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36 | |
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37 | }} // of namespace svn and namespace theplu |
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