mlpack  3.4.2
precision.hpp
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1 
12 #ifndef MLPACK_CORE_CV_METRICS_PRECISION_HPP
13 #define MLPACK_CORE_CV_METRICS_PRECISION_HPP
14 
15 #include <mlpack/core.hpp>
16 #include <mlpack/core/cv/metrics/average_strategy.hpp>
17 
18 namespace mlpack {
19 namespace cv {
20 
47 template<AverageStrategy AS, size_t PositiveClass = 1>
48 class Precision
49 {
50  public:
58  template<typename MLAlgorithm, typename DataType>
59  static double Evaluate(MLAlgorithm& model,
60  const DataType& data,
61  const arma::Row<size_t>& labels);
62 
67  static const bool NeedsMinimization = false;
68 
69  private:
73  template<AverageStrategy _AS,
74  typename MLAlgorithm,
75  typename DataType,
76  typename = std::enable_if_t<_AS == Binary>>
77  static double Evaluate(MLAlgorithm& model,
78  const DataType& data,
79  const arma::Row<size_t>& labels);
80 
84  template<AverageStrategy _AS,
85  typename MLAlgorithm,
86  typename DataType,
87  typename = std::enable_if_t<_AS == Micro>,
88  typename = void>
89  static double Evaluate(MLAlgorithm& model,
90  const DataType& data,
91  const arma::Row<size_t>& labels);
92 
96  template<AverageStrategy _AS,
97  typename MLAlgorithm,
98  typename DataType,
99  typename = std::enable_if_t<_AS == Macro>,
100  typename = void,
101  typename = void>
102  static double Evaluate(MLAlgorithm& model,
103  const DataType& data,
104  const arma::Row<size_t>& labels);
105 };
106 
107 } // namespace cv
108 } // namespace mlpack
109 
110 // Include implementation.
111 #include "precision_impl.hpp"
112 
113 #endif
mlpack::cv::Precision::NeedsMinimization
static const bool NeedsMinimization
Information for hyper-parameter tuning code.
Definition: precision.hpp:67
mlpack::cv::AverageStrategy
AverageStrategy
This enum declares possible strategies for averaging that can be used in some metrics like precision,...
Definition: average_strategy.hpp:26
mlpack
Linear algebra utility functions, generally performed on matrices or vectors.
Definition: add_to_cli11.hpp:21
mlpack::cv::Precision::Evaluate
static double Evaluate(MLAlgorithm &model, const DataType &data, const arma::Row< size_t > &labels)
Run classification and calculate precision.
std::enable_if_t
typename enable_if< B, T >::type enable_if_t
Definition: prereqs.hpp:70
mlpack::cv::Precision
Precision is a metric of performance for classification algorithms that for binary classification is ...
Definition: precision.hpp:49
average_strategy.hpp
core.hpp
Include all of the base components required to write mlpack methods, and the main mlpack Doxygen docu...
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