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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 itkMaximumDecisionRule_h
#define itkMaximumDecisionRule_h
#include "itkDecisionRule.h"
#include "ITKStatisticsExport.h"
namespace itk
{
namespace Statistics
{
/**
* \class MaximumDecisionRule
* \brief A decision rule that returns the class label with the
* largest discriminant score.
*
* MaximumDecisionRule returns the class label with the largest
* discriminant score. If the discriminant scores are likelihood
* \f$p(x|i)\f$, then this decision rule is a maximum likelihood
* decision rule.
*
* \ingroup ITKStatistics
*/
class ITKStatistics_EXPORT MaximumDecisionRule : public DecisionRule
{
public:
/** Standard class type aliases */
using Self = MaximumDecisionRule;
using Superclass = DecisionRule;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(MaximumDecisionRule);
/** Standard New() method support */
itkNewMacro(Self);
/** Types for discriminant values and vectors. */
using MembershipValueType = Superclass::MembershipValueType;
using MembershipVectorType = Superclass::MembershipVectorType;
/** Types for class identifiers. */
using ClassIdentifierType = Superclass::ClassIdentifierType;
/**
* Evaluate the decision rule, returning the class label associated
* with the largest discriminant score.
*/
ClassIdentifierType
Evaluate(const MembershipVectorType & discriminantScores) const override;
protected:
MaximumDecisionRule() = default;
~MaximumDecisionRule() override = default;
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#endif
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