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"
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... |
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 ---------------------------------------