Implements train/test data splitting: use initial x% of original data for training, the rest for testing. 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_Holdout< INTERVALCONTAINER, IDXTYPE > |
Implements train/test data splitting: use initial x% of original data for training, the rest for testing, each (data)class split separately. More... |
Implements train/test data splitting: use initial x% of original data for training, the rest for testing.
====================================================================== Feature Selection Toolbox 3 source code ---------------------------------------