demo63.cpp File Reference

Example 63: Classification of new data samples on the selected subspace. More...

#include <boost/smart_ptr.hpp>
#include <exception>
#include <iostream>
#include <cstdlib>
#include <string>
#include <vector>
#include "error.hpp"
#include "global.hpp"
#include "subset.hpp"
#include "data_intervaller.hpp"
#include "data_splitter.hpp"
#include "data_splitter_5050.hpp"
#include "data_splitter_cv.hpp"
#include "data_scaler.hpp"
#include "data_scaler_void.hpp"
#include "data_accessor_splitting_memTRN.hpp"
#include "data_accessor_splitting_memARFF.hpp"
#include "criterion_wrapper.hpp"
#include "distance_euclid.hpp"
#include "classifier_knn.hpp"
#include "seq_step_straight.hpp"
#include "search_seq_sffs.hpp"

Include dependency graph for demo63.cpp:

Functions
int	main ()

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Detailed Description

Example 63: Classification of new data samples on the selected subspace.

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Function Documentation

int main

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Example 63: Classification of new data samples on the selected subspace

This is merely a technical demo showing how to call Classifier::classify() method to classify a new data sample, doing so on the selected feature subspace.

Note:

This is an extension of Example 11: Wrapper-based feature selection with Floating Search..

References FST::Search_SFFS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >::search(), FST::Search< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >::set_output_detail(), and FST::Search_SFFS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >::set_search_direction().