/usr/include/openturns/KrigingGradient.hxx is in libopenturns-dev 1.7-3.
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 | // -*- C++ -*-
/**
* @brief The class building gaussian process regression
*
* Copyright 2005-2015 Airbus-EDF-IMACS-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 3 of the License, or
* (at your option) any later version.
*
* 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
* along with this library. If not, see <http://www.gnu.org/licenses/>.
*
*/
#ifndef OPENTURNS_KRIGINGGRADIENT_HXX
#define OPENTURNS_KRIGINGGRADIENT_HXX
#include "NumericalMathGradientImplementation.hxx"
#include "CovarianceModel.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class KrigingGradient
*
* This class permits prediction on a gaussian process
*/
class OT_API KrigingGradient
: public NumericalMathGradientImplementation
{
CLASSNAME
public:
typedef Collection<NumericalPoint> NumericalPointCollection;
typedef PersistentCollection<NumericalPoint> NumericalPointPersistentCollection;
typedef Collection<Basis> BasisCollection;
typedef PersistentCollection<Basis> BasisPersistentCollection;
/** Default constructor */
KrigingGradient();
/** Constructor with parameters */
KrigingGradient(const BasisCollection & basis,
const NumericalSample & inputSample,
const CovarianceModel & correlationModel,
const NumericalPointCollection & beta,
const NumericalSample & gamma);
/** Virtual constructor */
virtual KrigingGradient * clone() const;
/** Comparison operator */
Bool operator ==(const KrigingGradient & other) const;
/** String converter */
virtual String __repr__() const;
virtual String __str__(const String & offset = "") const;
/** Test for actual implementation */
virtual Bool isActualImplementation() const;
/** Operator () */
// using NumericalMathGradientImplementation::gradient;
Matrix gradient(const NumericalPoint & inP) const;
/** Accessor for input point dimension */
virtual UnsignedInteger getInputDimension() const;
/** Accessor for output point dimension */
virtual UnsignedInteger getOutputDimension() const;
/** Method save() stores the object through the StorageManager */
void save(Advocate & adv) const;
/** Method load() reloads the object from the StorageManager */
void load(Advocate & adv);
protected:
// BasisCollection ==> Persistent for save attribut
BasisPersistentCollection basis_;
/// Training (input) sample
NumericalSample inputSample_;
/// Correlation model
CovarianceModel covarianceModel_;
/// Regression weights
NumericalPointPersistentCollection beta_;
NumericalSample gamma_;
};
END_NAMESPACE_OPENTURNS
#endif
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