mlpack
accuracy.hpp
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1 
12 #ifndef MLPACK_CORE_CV_METRICS_ACCURACY_HPP
13 #define MLPACK_CORE_CV_METRICS_ACCURACY_HPP
14 
15 #include <mlpack/core.hpp>
16 #include <mlpack/prereqs.hpp>
17 
18 namespace mlpack {
19 namespace cv {
20 
26 class Accuracy
27 {
28  public:
36  template<typename MLAlgorithm, typename DataType>
37  static double Evaluate(MLAlgorithm& model,
38  const DataType& data,
39  const arma::Row<size_t>& labels);
40 
45  static const bool NeedsMinimization = false;
46 };
47 
48 } // namespace cv
49 } // namespace mlpack
50 
51 // Include implementation.
52 #include "accuracy_impl.hpp"
53 
54 #endif
mlpack::cv::Accuracy::Evaluate
static double Evaluate(MLAlgorithm &model, const DataType &data, const arma::Row< size_t > &labels)
Run classification and calculate accuracy.
mlpack
Linear algebra utility functions, generally performed on matrices or vectors.
Definition: add_to_cli11.hpp:21
prereqs.hpp
The core includes that mlpack expects; standard C++ includes and Armadillo.
mlpack::cv::Accuracy
The Accuracy is a metric of performance for classification algorithms that is equal to a proportion o...
Definition: accuracy.hpp:26
core.hpp
Include all of the base components required to write mlpack methods, and the main mlpack Doxygen docu...
mlpack::cv::Accuracy::NeedsMinimization
static const bool NeedsMinimization
Information for hyper-parameter tuning code.
Definition: accuracy.hpp:45