Classes
struct	ConfusionMatrixBase

Functions
template<class T >
constexpr ConfusionMatrixBase< T > &	operator+= (ConfusionMatrixBase< T > &lhs, const ConfusionMatrixBase< T > &rhs)

template<class T >
constexpr T	predicted_positives (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr T	predicted_negatives (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr T	positives (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr T	negatives (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr T	total_samples (const ConfusionMatrixBase< T > &matrix)

template<class Scalar >
constexpr double	save_div (Scalar num, Scalar den)

template<class T >
constexpr double	true_positive_fraction (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	false_positive_fraction (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	true_negative_fraction (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	false_negative_fraction (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	accuracy (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	prevalence (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	positive_predictive_value (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	false_discovery_rate (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	negative_predictive_value (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	false_omission_rate (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	true_positive_rate (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	false_negative_rate (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	false_positive_rate (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	true_negative_rate (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	precision (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	recall (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	sensitivity (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	specificity (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	informedness (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	markedness (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	fowlkes_mallows (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	positive_likelihood_ratio (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	negative_likelihood_ratio (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	diagnostic_odds_ratio (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	matthews (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	balanced_accuracy (const ConfusionMatrixBase< T > &matrix)

template<class T >
constexpr double	f_beta (const ConfusionMatrixBase< T > &matrix, double beta)

Function Documentation

◆ accuracy()

template<class T >

constexpr double dismec::confusion_matrix_detail::accuracy ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 86 of file confusion_matrix.h.

References save_div(), total_samples(), dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TrueNegatives, and dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TruePositives.

◆ balanced_accuracy()

template<class T >

constexpr double dismec::confusion_matrix_detail::balanced_accuracy ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 200 of file confusion_matrix.h.

References true_negative_rate(), and true_positive_rate().

◆ diagnostic_odds_ratio()

template<class T >

constexpr double dismec::confusion_matrix_detail::diagnostic_odds_ratio ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 188 of file confusion_matrix.h.

References negative_likelihood_ratio(), positive_likelihood_ratio(), and save_div().

◆ f_beta()

template<class T >

constexpr double dismec::confusion_matrix_detail::f_beta	(	const ConfusionMatrixBase< T > &	matrix,
		double	beta
	)

constexpr

Definition at line 205 of file confusion_matrix.h.

References dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::FalseNegatives, dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::FalsePositives, and dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TruePositives.

Referenced by dismec::prediction::MacroMetricReporter::add_f_measure().

◆ false_discovery_rate()

template<class T >

constexpr double dismec::confusion_matrix_detail::false_discovery_rate ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 103 of file confusion_matrix.h.

References positive_predictive_value().

Referenced by matthews().

◆ false_negative_fraction()

template<class T >

constexpr double dismec::confusion_matrix_detail::false_negative_fraction ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 81 of file confusion_matrix.h.

References dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::FalseNegatives, save_div(), and total_samples().

◆ false_negative_rate()

template<class T >

constexpr double dismec::confusion_matrix_detail::false_negative_rate ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 124 of file confusion_matrix.h.

References dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::FalseNegatives, positives(), and save_div().

Referenced by matthews(), and negative_likelihood_ratio().

◆ false_omission_rate()

template<class T >

constexpr double dismec::confusion_matrix_detail::false_omission_rate ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 113 of file confusion_matrix.h.

References negative_predictive_value().

Referenced by matthews().

◆ false_positive_fraction()

template<class T >

constexpr double dismec::confusion_matrix_detail::false_positive_fraction ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 71 of file confusion_matrix.h.

References dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::FalsePositives, save_div(), and total_samples().

◆ false_positive_rate()

template<class T >

constexpr double dismec::confusion_matrix_detail::false_positive_rate ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 129 of file confusion_matrix.h.

References dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::FalsePositives, negatives(), and save_div().

Referenced by matthews(), and positive_likelihood_ratio().

◆ fowlkes_mallows()

template<class T >

constexpr double dismec::confusion_matrix_detail::fowlkes_mallows ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 173 of file confusion_matrix.h.

References positive_predictive_value(), and true_positive_rate().

◆ informedness()

template<class T >

constexpr double dismec::confusion_matrix_detail::informedness ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 163 of file confusion_matrix.h.

References true_negative_rate(), and true_positive_rate().

◆ markedness()

template<class T >

constexpr double dismec::confusion_matrix_detail::markedness ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 168 of file confusion_matrix.h.

References negative_predictive_value(), and positive_predictive_value().

◆ matthews()

template<class T >

constexpr double dismec::confusion_matrix_detail::matthews ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 193 of file confusion_matrix.h.

References false_discovery_rate(), false_negative_rate(), false_omission_rate(), false_positive_rate(), negative_predictive_value(), positive_predictive_value(), true_negative_rate(), and true_positive_rate().

◆ negative_likelihood_ratio()

template<class T >

constexpr double dismec::confusion_matrix_detail::negative_likelihood_ratio ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 183 of file confusion_matrix.h.

References false_negative_rate(), save_div(), and true_negative_rate().

Referenced by diagnostic_odds_ratio().

◆ negative_predictive_value()

template<class T >

constexpr double dismec::confusion_matrix_detail::negative_predictive_value ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 108 of file confusion_matrix.h.

References predicted_negatives(), save_div(), and dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TrueNegatives.

Referenced by false_omission_rate(), markedness(), and matthews().

◆ negatives()

template<class T >

constexpr T dismec::confusion_matrix_detail::negatives ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 47 of file confusion_matrix.h.

References dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::FalsePositives, and dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TrueNegatives.

Referenced by false_positive_rate(), and true_negative_rate().

◆ operator+=()

template<class T >

constexpr ConfusionMatrixBase<T>& dismec::confusion_matrix_detail::operator+=	(	ConfusionMatrixBase< T > &	lhs,
		const ConfusionMatrixBase< T > &	rhs
	)

constexpr

Definition at line 21 of file confusion_matrix.h.

References dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::FalseNegatives, dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::FalsePositives, dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TrueNegatives, and dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TruePositives.

◆ positive_likelihood_ratio()

template<class T >

constexpr double dismec::confusion_matrix_detail::positive_likelihood_ratio ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 178 of file confusion_matrix.h.

References false_positive_rate(), save_div(), and true_positive_rate().

Referenced by diagnostic_odds_ratio().

◆ positive_predictive_value()

template<class T >

constexpr double dismec::confusion_matrix_detail::positive_predictive_value ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 98 of file confusion_matrix.h.

References predicted_positives(), save_div(), and dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TruePositives.

Referenced by false_discovery_rate(), fowlkes_mallows(), markedness(), matthews(), and precision().

◆ positives()

template<class T >

constexpr T dismec::confusion_matrix_detail::positives ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 42 of file confusion_matrix.h.

References dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::FalseNegatives, and dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TruePositives.

Referenced by false_negative_rate(), prevalence(), register_dataset(), and true_positive_rate().

◆ precision()

template<class T >

constexpr double dismec::confusion_matrix_detail::precision ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 141 of file confusion_matrix.h.

References positive_predictive_value().

Referenced by PYBIND11_MODULE(), anonymous_namespace{py_data.cpp}::save_xmc(), and dismec::io::save_xmc_dataset().

◆ predicted_negatives()

template<class T >

constexpr T dismec::confusion_matrix_detail::predicted_negatives ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 37 of file confusion_matrix.h.

References dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::FalseNegatives, and dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TrueNegatives.

Referenced by negative_predictive_value().

◆ predicted_positives()

template<class T >

constexpr T dismec::confusion_matrix_detail::predicted_positives ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 32 of file confusion_matrix.h.

References dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::FalsePositives, and dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TruePositives.

Referenced by positive_predictive_value().

◆ prevalence()

template<class T >

constexpr double dismec::confusion_matrix_detail::prevalence ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 91 of file confusion_matrix.h.

References positives(), save_div(), and total_samples().

◆ recall()

template<class T >

constexpr double dismec::confusion_matrix_detail::recall ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 146 of file confusion_matrix.h.

References true_positive_rate().

Referenced by dismec::prediction::MacroMetricReporter::add_coverage().

◆ save_div()

template<class Scalar >

constexpr double dismec::confusion_matrix_detail::save_div	(	Scalar	num,
		Scalar	den
	)

constexpr

Division that returns 0.0 whenever the numerator is 0, even if the denominator is 0. This means that 0/0 := 0 for the purpose of this operation. Any other division by zero will result in +-inf.

Definition at line 59 of file confusion_matrix.h.

Referenced by accuracy(), diagnostic_odds_ratio(), false_negative_fraction(), false_negative_rate(), false_positive_fraction(), false_positive_rate(), negative_likelihood_ratio(), negative_predictive_value(), positive_likelihood_ratio(), positive_predictive_value(), prevalence(), true_negative_fraction(), true_negative_rate(), true_positive_fraction(), and true_positive_rate().

◆ sensitivity()

template<class T >

constexpr double dismec::confusion_matrix_detail::sensitivity ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 151 of file confusion_matrix.h.

References true_positive_rate().

◆ specificity()

template<class T >

constexpr double dismec::confusion_matrix_detail::specificity ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 156 of file confusion_matrix.h.

References true_negative_rate().

◆ total_samples()

template<class T >

constexpr T dismec::confusion_matrix_detail::total_samples ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 52 of file confusion_matrix.h.

References dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::FalseNegatives, dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::FalsePositives, dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TrueNegatives, and dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TruePositives.

Referenced by accuracy(), false_negative_fraction(), false_positive_fraction(), prevalence(), true_negative_fraction(), and true_positive_fraction().

◆ true_negative_fraction()

template<class T >

constexpr double dismec::confusion_matrix_detail::true_negative_fraction ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 76 of file confusion_matrix.h.

References save_div(), total_samples(), and dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TrueNegatives.

◆ true_negative_rate()

template<class T >

constexpr double dismec::confusion_matrix_detail::true_negative_rate ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 134 of file confusion_matrix.h.

References negatives(), save_div(), and dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TrueNegatives.

Referenced by balanced_accuracy(), informedness(), matthews(), negative_likelihood_ratio(), and specificity().

◆ true_positive_fraction()

template<class T >

constexpr double dismec::confusion_matrix_detail::true_positive_fraction ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 66 of file confusion_matrix.h.

References save_div(), total_samples(), and dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TruePositives.

◆ true_positive_rate()

template<class T >

constexpr double dismec::confusion_matrix_detail::true_positive_rate ( const ConfusionMatrixBase< T > & matrix )

constexpr

Definition at line 119 of file confusion_matrix.h.

References positives(), save_div(), and dismec::confusion_matrix_detail::ConfusionMatrixBase< T >::TruePositives.

Referenced by balanced_accuracy(), fowlkes_mallows(), informedness(), matthews(), positive_likelihood_ratio(), recall(), and sensitivity().

Classes

Functions

Function Documentation

◆ accuracy()

◆ balanced_accuracy()

◆ diagnostic_odds_ratio()

◆ f_beta()

◆ false_discovery_rate()

◆ false_negative_fraction()

◆ false_negative_rate()

◆ false_omission_rate()

◆ false_positive_fraction()

◆ false_positive_rate()

◆ fowlkes_mallows()

◆ informedness()

◆ markedness()

◆ matthews()

◆ negative_likelihood_ratio()

◆ negative_predictive_value()

◆ negatives()

◆ operator+=()

◆ positive_likelihood_ratio()

◆ positive_predictive_value()

◆ positives()

◆ precision()

◆ predicted_negatives()

◆ predicted_positives()

◆ prevalence()

◆ recall()

◆ save_div()

◆ sensitivity()

◆ specificity()

◆ total_samples()

◆ true_negative_fraction()

◆ true_negative_rate()

◆ true_positive_fraction()

◆ true_positive_rate()