/usr/include/openturns/ApproximationAlgorithmImplementation.hxx is in libopenturns-dev 1.9-5.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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/**
* @brief Regression from a data sample upon a particular basis
*
* Copyright 2005-2017 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_APPROXIMATIONALGORITHMIMPLEMENTATION_HXX
#define OPENTURNS_APPROXIMATIONALGORITHMIMPLEMENTATION_HXX
#include "openturns/PersistentObject.hxx"
#include "openturns/Point.hxx"
#include "openturns/Sample.hxx"
#include "openturns/DesignProxy.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class ApproximationAlgorithmImplementation
*
* Regression from a data sample upon a particular basis
*/
class OT_API ApproximationAlgorithmImplementation
: public PersistentObject
{
CLASSNAME;
public:
/** Default constructor */
ApproximationAlgorithmImplementation();
/** Default constructor */
ApproximationAlgorithmImplementation(const Sample & x,
const Sample & y,
const Basis & psi,
const Indices & indices);
/** Default constructor */
ApproximationAlgorithmImplementation(const Sample & x,
const Sample & y,
const Point & weight,
const Basis & psi,
const Indices & indices);
/** Virtual constructor */
virtual ApproximationAlgorithmImplementation * clone() const;
/** Sample accessors */
Sample getX() const;
Sample getY() const;
/** Weigths accessor */
protected:
void setWeight(const Point & weight);
public:
Point getWeight() const;
/** Basis accessor */
Basis getPsi() const;
/** String converter */
virtual String __repr__() const;
virtual String __str__(const String & offset = "") const;
/** Perform the selection */
virtual void run();
#ifndef SWIG
virtual void run(const DesignProxy & proxy);
#endif
/** Accessor to the coefficients of the selected metamodel on the provided basis */
Point getCoefficients();
/** Accessor to the residual of the selected metamodel on the provided basis */
Scalar getResidual();
Scalar getRelativeError();
/** Verbosity accessor */
void setVerbose(const Bool verbose);
Bool getVerbose() const;
/** Method save() stores the object through the StorageManager */
virtual void save(Advocate & adv) const;
/** Method load() reloads the object from the StorageManager */
virtual void load(Advocate & adv);
protected:
void setCoefficients(const Point & coefficients);
void setResidual(const Scalar residual);
void setRelativeError(const Scalar relativeError);
/** Input sample */
Sample x_;
/** Output sample */
Sample y_;
/** Weights */
Point weight_;
/** Flag to tell if the weights are uniform */
Bool hasUniformWeight_;
/** Basis */
Basis psi_;
Indices currentIndices_;
mutable Bool isAlreadyComputedCoefficients_;
private:
/** Regression coefficients */
Point coefficients_;
/** Residual */
Scalar residual_;
/** Relative error */
Scalar relativeError_;
/** Verbosity flag */
Bool verbose_;
}; /* class ApproximationAlgorithmImplementation */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_APPROXIMATIONALGORITHMIMPLEMENTATION_HXX */
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