Aakash-kaushik/mlpack/accuracy_8hpp_source.html

 #ifndef MLPACK_CORE_CV_METRICS_ACCURACY_HPP
 #define MLPACK_CORE_CV_METRICS_ACCURACY_HPP

 #include <mlpack/core.hpp>
 #include <mlpack/prereqs.hpp>

 namespace mlpack {
 namespace cv {

 class Accuracy
 {
  public:
   template<typename MLAlgorithm, typename DataType>
   static double Evaluate(MLAlgorithm& model,
                          const DataType& data,
                          const arma::Row<size_t>& labels);

   static const bool NeedsMinimization = false;
 };

 } // namespace cv
 } // namespace mlpack

 // Include implementation.
 #include "accuracy_impl.hpp"

 #endif
mlpack::cv::Accuracy::NeedsMinimization
static const bool NeedsMinimization
Information for hyper-parameter tuning code.
Definition: accuracy.hpp:45

data

mlpack
Linear algebra utility functions, generally performed on matrices or vectors.
Definition: cv.hpp:1

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

accuracy_impl.hpp

mlpack::cv::Accuracy::Evaluate
static double Evaluate(MLAlgorithm &model, const DataType &data, const arma::Row< size_t > &labels)
Run classification and calculate accuracy.
Definition: accuracy_impl.hpp:19

core.hpp
Include all of the base components required to write mlpack methods, and the main mlpack Doxygen docu...