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/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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 itkDecisionRule_h
#define itkDecisionRule_h
#include <vector>
#include "vnl/vnl_matrix.h"
#include "itkObject.h"
#include "itkObjectFactory.h"
#include "itkArray.h"
#include "ITKStatisticsExport.h"
namespace itk
{
namespace Statistics
{
/**
* \class DecisionRule
* \brief Base class for decision rules that return a class label
* based on a set of discriminant scores.
*
* DecisionRule is the base class for decision rules used in
* classification. Subclasses of DecisionRule include
* MaximumDecisionRule, MinimumDecisionRule, and
* MaximumRationDecisionRule, This class has a pure virtual function,
* Evaluate(), which implements the particular decision rule, given a
* set of discriminant scores. Concrete subclasses of
* DecisionRule must implement this method.
*
* \ingroup ITKStatistics
*/
class ITKStatistics_EXPORT DecisionRule : public Object
{
public:
ITK_DISALLOW_COPY_AND_MOVE(DecisionRule);
/** Standard class type aliases */
using Self = DecisionRule;
using Superclass = Object;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(DecisionRule);
/** Types for discriminant values and vectors. */
using MembershipValueType = double;
using MembershipVectorType = std::vector<MembershipValueType>;
/** Types for class identifiers. */
using ClassIdentifierType = MembershipVectorType::size_type;
/**
* Evaluate the decision rule. The return value of this function is
* a class label. Functions returns the best label given the
* discriminant scores using its internal logic.
*/
virtual ClassIdentifierType
Evaluate(const MembershipVectorType & discriminantScores) const = 0;
protected:
DecisionRule();
~DecisionRule() override;
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#endif
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