data_splitter_randrand.hpp File Reference

Implements train/test data splitting: use randomly chosen x% of data samples for training and another y% of data for testing, without overlaps. More...

#include <boost/smart_ptr.hpp>
#include <iostream>
#include <cstdlib>
#include <ctime>
#include <vector>
#include "error.hpp"
#include "global.hpp"
#include "data_splitter.hpp"

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Classes
class	FST::Data_Splitter_RandomRandom< INTERVALCONTAINER, IDXTYPE, BINTYPE >
	Implements train/test data splitting: use randomly chosen x% of data samples for training and another y% of data for testing, without overlaps, separately in each class. More...

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Detailed Description

Implements train/test data splitting: use randomly chosen x% of data samples for training and another y% of data for testing, without overlaps.

====================================================================== Feature Selection Toolbox 3 source code ---------------------------------------

Author:

Petr Somol (somol@utia.cas.cz) with collaborators, see Contacts at http://fst.utia.cz

Date:

March 2011

Version:

3.1.0.beta

Note:

FST3 was developed using gcc 4.3 and requires

• Boost library (http://www.boost.org/, tested with versions 1.33.1 and 1.44),

• (optionally) LibSVM (http://www.csie.ntu.edu.tw/~cjlin/libsvm/, tested with version 3.00)

Note that LibSVM is required for SVM related tools only, as demonstrated in demo12t.cpp, demo23.cpp, demo25t.cpp, demo32t.cpp, etc.