/usr/include/OTB-6.4/otbSVMCrossValidationCostFunction.h is in libotb-dev 6.4.0+dfsg-1.
This file is owned by root:root, with mode 0o644.
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* Copyright (C) 2005-2017 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef otbSVMCrossValidationCostFunction_h
#define otbSVMCrossValidationCostFunction_h
#include "itkSingleValuedCostFunction.h"
namespace otb
{
/** \class SVMCrossValidationCostFunction
* \brief This function returns the cross validation accuracy of a SVM model.
*
* It allows performing parameters selection to maximize the
* accuracy using ITK optimizers.
*
* Given an input SVM model, the number of parameters depends on the
* type of kernel:
* - Linear kernel : C
* - Polynomial kernel : C, gamma, coef0
* - RBF kernel : C, Gamma
* - Gaussian kernel : C, Gamma, coef0
* - Other kernels : C
*
* Please note that this function is only defined on \f$ R_{+}^{*} \f$.
*
* The GetDerivative() uses the GetValue() function to
* compute the partial derivatives. as such, it can be quite intensive.
*
* \ingroup ClassificationFilters
*
* \ingroup OTBSupervised
*/
template <class TModel>
class ITK_EXPORT SVMCrossValidationCostFunction
: public itk::SingleValuedCostFunction
{
public:
/** Standard class typedefs. */
typedef SVMCrossValidationCostFunction Self;
typedef itk::SingleValuedCostFunction Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Type definitions for the SVM Model. */
typedef TModel SVMModelType;
typedef typename SVMModelType::Pointer SVMModelPointer;
/** Superclass typedefs */
typedef typename Superclass::MeasureType MeasurementType;
typedef typename Superclass::ParametersType ParametersType;
typedef typename Superclass::ParametersValueType ParametersValueType;
typedef typename Superclass::DerivativeType DerivativeType;
/** Set the model */
itkSetObjectMacro(Model, SVMModelType);
itkGetObjectMacro(Model, SVMModelType);
/** Set/Get the derivative step */
itkSetMacro(DerivativeStep, ParametersValueType);
itkGetMacro(DerivativeStep, ParametersValueType);
/** \return The accuracy value corresponding the parameters */
MeasureType GetValue(const ParametersType& parameters) const ITK_OVERRIDE;
/** \return The accuracy derivative corresponding to the parameters */
void GetDerivative(const ParametersType& parameters, DerivativeType& derivative) const ITK_OVERRIDE;
/** \return the number of parameters to optimize */
unsigned int GetNumberOfParameters(void) const ITK_OVERRIDE;
protected:
/// Constructor
SVMCrossValidationCostFunction();
/// Destructor
~SVMCrossValidationCostFunction() ITK_OVERRIDE;
/** Update svm parameters struct according to the input parameters
*/
void UpdateParameters(const ParametersType& parameters) const;
private:
SVMCrossValidationCostFunction(const Self &); //purposely not implemented
void operator =(const Self&); //purposely not implemented
/**Pointer to the SVM model to optimize */
SVMModelPointer m_Model;
/** Step used to compute the derivatives */
ParametersValueType m_DerivativeStep;
}; // class SVMCrossValidationCostFunction
} // namespace otb
#ifndef OTB_MANUAL_INSTANTIATION
#include "otbSVMCrossValidationCostFunction.txx"
#endif
#endif
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