/*========================================================================= * * 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 itkNNetDistanceMetricBase_h #define itkNNetDistanceMetricBase_h #include "itkFunctionBase.h" namespace itk { namespace Statistics { /** \class NNetDistanceMetricBase * \brief This is the itkNNetDistanceMetricBase class. * * \ingroup ITKNeuralNetworks */ template class NNetDistanceMetricBase : public FunctionBase { public: /** Standard class typedefs. */ typedef NNetDistanceMetricBase Self; typedef FunctionBase Superclass; typedef SmartPointer Pointer; typedef SmartPointer ConstPointer; /** Run-time type information (and related methods). */ itkTypeMacro(NNetDistanceMetricBase, FunctionBase); /** Input type */ typedef TMeasurementVector InputVectorType; /** Evaluate at the specified input position */ virtual double Evaluate(const InputVectorType& x1, const InputVectorType& x2) const = 0; /** Evaluate */ virtual double Evaluate(const InputVectorType& ) const {return 0;} protected: NNetDistanceMetricBase() {}; ~NNetDistanceMetricBase() {}; /** Method to print the object. */ virtual void PrintSelf( std::ostream& os, Indent indent ) const { os << indent << "NNetDistanceMetricBase(" << this << ")" << std::endl; Superclass::PrintSelf( os, indent ); } private: ITK_DISALLOW_COPY_AND_ASSIGN(NNetDistanceMetricBase ); }; } // end namespace Statistics } // end namespace itk #endif