/usr/include/openturns/SVMKernelRegressionHessian.hxx is in libopenturns-dev 0.15-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 | // -*- C++ -*-
/**
* @file SVMKernelRegressionHessian.hxx
* @brief Implementation of SVM regression hessian
*
* (C) Copyright 2005-2011 EDF-EADS-Phimeca
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2.1 of the License.
*
* This library is distributed in the hope that it will be useful
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* @author: $LastChangedBy: schueller $
* @date: $LastChangedDate: 2008-05-05 08:50:15 +0200 (lun, 05 mai 2008) $
* Id: $Id: SVMKernelRegressionHessian.hxx 805 2008-05-05 06:50:15Z schueller $
*/
#ifndef OPENTURNS_SVMKERNELREGRESSIONHESSIAN_HXX
#define OPENTURNS_SVMKERNELREGRESSIONHESSIAN_HXX
#include "SVMKernel.hxx"
#include "NumericalMathHessianImplementation.hxx"
#include "SVMKernelRegressionEvaluation.hxx"
#include "NumericalSample.hxx"
namespace OpenTURNS
{
namespace Uncertainty
{
namespace Algorithm
{
class SVMKernelRegressionEvaluation;
/**
* @class SVMKernelRegressionHessian
*
* Implementation of SVM regression hessian
*/
class SVMKernelRegressionHessian
: public Base::Func::NumericalMathHessianImplementation
{
CLASSNAME;
public:
typedef NumericalMathHessianImplementation::Description Description;
typedef NumericalMathHessianImplementation::NumericalPoint NumericalPoint;
typedef Base::Stat::NumericalSample NumericalSample;
typedef Uncertainty::Algorithm::SVMKernel SVMKernel;
typedef NumericalMathHessianImplementation::InvalidArgumentException InvalidArgumentException;
typedef NumericalMathHessianImplementation::InternalException InternalException;
typedef NumericalMathHessianImplementation::SymmetricTensor SymmetricTensor;
typedef Base::Type::SymmetricMatrix SymmetricMatrix;
/** Default constructor */
SVMKernelRegressionHessian();
/** Constructor with parameters */
SVMKernelRegressionHessian(const SVMKernel & kernel,
const NumericalPoint & lagrangeMultiplier,
const NumericalSample & dataIn,
const NumericalScalar constant);
/** Constructor from SVMKernelRegressionEvaluation */
SVMKernelRegressionHessian(const Uncertainty::Algorithm::SVMKernelRegressionEvaluation & evaluation);
/** Virtual constructor */
virtual SVMKernelRegressionHessian * clone() const;
/** Comparison operator */
Bool operator ==(const SVMKernelRegressionHessian & other) const;
/** String converter */
virtual String __repr__() const;
/** Test for actual implementation */
virtual Bool isActualImplementation() const;
/** Hessian method */
virtual SymmetricTensor hessian(const NumericalPoint & inP) const
/* throw(InvalidArgumentException,InternalException) */;
/** Accessor for input point dimension */
virtual UnsignedLong getInputDimension() const
/* throw(InternalException) */;
/** Accessor for output point dimension */
virtual UnsignedLong getOutputDimension() const
/* throw(InternalException) */;
private:
protected:
SVMKernel kernel_;
NumericalPoint lagrangeMultiplier_;
NumericalSample dataIn_;
NumericalScalar constant_;
}; /* class SVMKernelRegressionHessian */
} /* namespace Func */
} /* namespace Base */
} /* namespace OpenTURNS */
#endif /* OPENTURNS_SVMKERNELREGRESSIONHESSIAN_HXX */
|