Implements train/test data splitting: use initial x% of original data for training, the rest for testing, each (data)class split separately. More...
#include <data_splitter_holdout.hpp>
Public Member Functions | |
Data_Splitter_Holdout (const IDXTYPE _perctrain) | |
Data_Splitter_Holdout (const Data_Splitter_Holdout &dsp) | |
virtual IDXTYPE | getNoOfSplits () const |
virtual bool | makeFirstSplit () |
virtual bool | makeNextSplit () |
Data_Splitter_Holdout * | stateless_clone () const |
virtual std::ostream & | print (std::ostream &os) const |
Private Types | |
typedef Data_Splitter < INTERVALCONTAINER, IDXTYPE > | TCC |
Private Attributes | |
const IDXTYPE | perctrain |
Implements train/test data splitting: use initial x% of original data for training, the rest for testing, each (data)class split separately.
Data_Splitter_Holdout* FST::Data_Splitter_Holdout< INTERVALCONTAINER, IDXTYPE >::stateless_clone | ( | ) | const [inline, virtual] |
create clone of the current object, ignoring internal temporary structures to save speed. Does not replicate exact object state. The clone must be used carefully in a way that ensures internal structure re-initialization Use example: Data_Splitter cloning or Classifier_SVM cloning due to inability to clone external structures defined in LibSVM
Implements FST::Clonable.