/usr/include/ITK-4.5/itkMaximumDecisionRule.h is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
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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 __itkMaximumDecisionRule_h
#define __itkMaximumDecisionRule_h
#include "itkDecisionRule.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 MaximumDecisionRule:public DecisionRule
{
public:
/** Standard class typedefs */
typedef MaximumDecisionRule Self;
typedef DecisionRule Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Run-time type information (and related methods) */
itkTypeMacro(MaximumDecisionRule, DecisionRule);
/** Standard New() method support */
itkNewMacro(Self);
/** Types for discriminant values and vectors. */
typedef Superclass::MembershipValueType MembershipValueType;
typedef Superclass::MembershipVectorType MembershipVectorType;
/** Types for class identifiers. */
typedef Superclass::ClassIdentifierType ClassIdentifierType;
/**
* Evaluate the decision rule, returning the class label associated
* with the largest discriminant score.
*/
virtual ClassIdentifierType Evaluate(const MembershipVectorType & discriminantScores) const;
protected:
MaximumDecisionRule() {}
virtual ~MaximumDecisionRule() {}
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#endif
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