/usr/include/openturns/GeneralLinearModelResult.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 The result of a linear model estimation
*
* 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_GENERALLINEARMODELRESULT_HXX
#define OPENTURNS_GENERALLINEARMODELRESULT_HXX
#include "openturns/MetaModelResult.hxx"
#include "openturns/CovarianceModel.hxx"
#include "openturns/Sample.hxx"
#include "openturns/Collection.hxx"
#include "openturns/PersistentCollection.hxx"
#include "openturns/Basis.hxx"
#include "openturns/Function.hxx"
#include "openturns/Process.hxx"
#include "openturns/HMatrix.hxx"
#include "openturns/Basis.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class GeneralLinearModelResult
*
* The result of a generalized linear model evaluation
*/
class OT_API GeneralLinearModelResult
: public MetaModelResult
{
CLASSNAME;
public:
// friend class Factory<GeneralLinearModelResult>;
typedef Collection<Point> PointCollection;
typedef PersistentCollection<Point> PointPersistentCollection;
typedef Collection<Basis> BasisCollection;
typedef PersistentCollection<Basis> BasisPersistentCollection;
/** Default constructor */
GeneralLinearModelResult();
/** Parameter constructor without any cholesky factor*/
GeneralLinearModelResult(const Sample & inputData,
const Sample & outputData,
const Function & metaModel,
const Point & residuals,
const Point & relativeErrors,
const BasisCollection & basis,
const PointCollection & trendCoefficients,
const CovarianceModel & covarianceModel,
const Scalar optimalLogLikelihood);
/** Parameter constructor with Cholesky factor (Lapack)*/
GeneralLinearModelResult(const Sample & inputData,
const Sample & outputData,
const Function & metaModel,
const Point & residuals,
const Point & relativeErrors,
const BasisCollection & basis,
const PointCollection & trendCoefficients,
const CovarianceModel & covarianceModel,
const Scalar optimalLogLikelihood,
const TriangularMatrix & covarianceCholeskyFactor,
const HMatrix & covarianceHMatrix);
/** Virtual constructor */
GeneralLinearModelResult * clone() const;
/** String converter */
String __repr__() const;
String __str__(const String & offset = "") const;
/** Trend basis accessor */
BasisCollection getBasisCollection() const;
/** Trend coefficients accessor */
PointCollection getTrendCoefficients() const;
/** Conditional covariance models accessor */
CovarianceModel getCovarianceModel() const;
/** Transformation accessor */
Function getTransformation() const;
void setTransformation(const Function & transformation);
/** process accessor */
Process getNoise() const;
/** Optimal likelihood accessor */
Scalar getOptimalLogLikelihood() 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:
// KrigingAlgorithm::run could ask for the Cholesky factor
friend class KrigingAlgorithm;
/** Method that returns the covariance factor - lapack */
TriangularMatrix getCholeskyFactor() const;
/** Method that returns the covariance factor - hmat */
HMatrix getHMatCholeskyFactor() const;
// Return input sample transformed
Sample getInputTransformedSample() const;
private:
/** inputData should be keeped*/
Sample inputData_;
/** input transformed data: store data*/
Sample inputTransformedData_;
/** inputTransformation ==> iso-probabilistic transformation */
Function inputTransformation_;
/** Boolean transformation */
Bool hasTransformation_;
/** The trend basis */
BasisPersistentCollection basis_;
/** The trend coefficients */
PointPersistentCollection beta_;
/** The covariance model */
CovarianceModel covarianceModel_;
/** The optimal log-likelihood value */
Scalar optimalLogLikelihood_;
/** Boolean for cholesky. */
Bool hasCholeskyFactor_;
/** Cholesky factor */
mutable TriangularMatrix covarianceCholeskyFactor_;
/** Cholesky factor when using hmat-oss/hmat */
mutable HMatrix covarianceHMatrix_;
} ; /* class GeneralLinearModelResult */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_KRIGINGRESULT_HXX */
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