/usr/include/shogun/evaluation/ROCEvaluation.h is in libshogun-dev 3.2.0-7.5.
This file is owned by root:root, with mode 0o644.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 | /*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* Written (W) 2011 Sergey Lisitsyn
* Copyright (C) 2011 Berlin Institute of Technology and Max-Planck-Society
*/
#ifndef ROCEVALUATION_H_
#define ROCEVALUATION_H_
#include <shogun/evaluation/BinaryClassEvaluation.h>
namespace shogun
{
class CLabels;
/** @brief Class ROCEvalution used to evaluate ROC
* (Receiver Operating Characteristic) and an area
* under ROC curve (auROC).
*
* Implementation is based on the efficient ROC algorithm as described in
*
* Fawcett, Tom (2004) ROC Graphs:
* Notes and Practical Considerations for Researchers; Machine Learning, 2004
*/
class CROCEvaluation: public CBinaryClassEvaluation
{
public:
/** constructor */
CROCEvaluation() :
CBinaryClassEvaluation(), m_computed(false)
{
m_ROC_graph = SGMatrix<float64_t>();
m_thresholds = SGVector<float64_t>();
};
/** destructor */
virtual ~CROCEvaluation();
/** get name */
virtual const char* get_name() const { return "ROCEvaluation"; };
/** evaluate ROC and auROC
* @param predicted labels
* @param ground_truth labels assumed to be correct
* @return auROC
*/
virtual float64_t evaluate(CLabels* predicted, CLabels* ground_truth);
virtual EEvaluationDirection get_evaluation_direction() const
{
return ED_MAXIMIZE;
}
/** get auROC
* @return area under ROC (auROC)
*/
float64_t get_auROC();
/** get ROC
* @return ROC graph matrix
*/
SGMatrix<float64_t> get_ROC();
/** get thresholds corresponding to points on the ROC graph
* @return thresholds
*/
SGVector<float64_t> get_thresholds();
protected:
/** evaluate ROC and auROC
* @param predicted labels
* @param ground_truth labels assumed to be correct
* @return auROC
*/
float64_t evaluate_roc(CLabels* predicted, CLabels* ground_truth);
protected:
/** 2-d array used to store ROC graph */
SGMatrix<float64_t> m_ROC_graph;
/** vector with thresholds corresponding to points on the ROC graph */
SGVector<float64_t> m_thresholds;
/** area under ROC graph */
float64_t m_auROC;
/** indicator of ROC and auROC being computed already */
bool m_computed;
};
}
#endif /* ROCEVALUATION_H_ */
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