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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* 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.txt
*
* 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 itkCompletelyConnectedWeightSet_h
#define itkCompletelyConnectedWeightSet_h
#include "itkWeightSetBase.h"
namespace itk
{
namespace Statistics
{
/** \class CompletelyConnectedWeightSet
* \brief This is the itkCompletelyConnectedWeightSet class.
*
* \ingroup ITKNeuralNetworks
*/
template<typename TMeasurementVector, typename TTargetVector>
class ITK_TEMPLATE_EXPORT CompletelyConnectedWeightSet : public WeightSetBase<TMeasurementVector, TTargetVector>
{
public:
#define MAX_SIZE 1000
typedef CompletelyConnectedWeightSet Self;
typedef WeightSetBase<TMeasurementVector, TTargetVector> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
itkTypeMacro(CompletelyConnectedWeightSet, WeightSetBase);
itkNewMacro(Self);
void SetCompleteConnectivity();
void SetRandomConnectivity(int[][MAX_SIZE]);
protected:
CompletelyConnectedWeightSet();
virtual ~CompletelyConnectedWeightSet() ITK_OVERRIDE {};
/** Method to print the object. */
virtual void PrintSelf( std::ostream& os, Indent indent ) const ITK_OVERRIDE;
};
} // end namespace Statistics
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkCompletelyConnectedWeightSet.hxx"
#endif
#endif
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