Implements train/test data splitting: use initial x% of original data for training, the rest for testing. More...
#include <memory>#include <cassert>#include <iostream>#include <cstdlib>#include <ctime>#include <vector>#include "error.hpp"#include "global.hpp"#include "data_splitter.hpp"Go to the source code of this file.
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... | |
Namespaces | |
| namespace | FST |
| The Feature Selection Toolbox 4 library: every library component – data access, criteria and classifiers, search algorithms, result trackers and the global infrastructure – lives in this namespace. | |
Implements train/test data splitting: use initial x% of original data for training, the rest for testing.
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