FST::Data_Splitter_RandomRandom< INTERVALCONTAINER, IDXTYPE, BINTYPE > Class Template Reference

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...

#include <data_splitter_randrand.hpp>

Inheritance diagram for FST::Data_Splitter_RandomRandom< INTERVALCONTAINER, IDXTYPE, BINTYPE >:

[legend]

Collaboration diagram for FST::Data_Splitter_RandomRandom< INTERVALCONTAINER, IDXTYPE, BINTYPE >:

[legend]

List of all members.

Public Member Functions
	Data_Splitter_RandomRandom (const IDXTYPE _splits, const IDXTYPE _perctrain, const IDXTYPE _perctest, const bool randomize=false)
	Data_Splitter_RandomRandom (const Data_Splitter_RandomRandom &dsp)
virtual IDXTYPE	getNoOfSplits () const
virtual bool	makeFirstSplit ()
virtual bool	makeNextSplit ()
Data_Splitter_RandomRandom *	stateless_clone () const
virtual std::ostream &	print (std::ostream &os) const
Protected Types
typedef Data_Splitter < INTERVALCONTAINER, IDXTYPE >	TCC
Protected Member Functions
virtual void	makeRandomSplit (const IDXTYPE n, const boost::shared_ptr< INTERVALCONTAINER > list_train, const boost::shared_ptr< INTERVALCONTAINER > list_test)
void	fill_randomly (const IDXTYPE n, const BINTYPE id_empty, const BINTYPE id_fill, const IDXTYPE count, const IDXTYPE minidx, const IDXTYPE maxidx)
void	fill (const IDXTYPE n, const BINTYPE id_empty, const BINTYPE id_fill, const IDXTYPE minidx, const IDXTYPE maxidx)
void	translate (const IDXTYPE n, const BINTYPE id_fill, const boost::shared_ptr< INTERVALCONTAINER > lst)
Protected Attributes
IDXTYPE	_n_max
boost::scoped_array< BINTYPE >	_data
const IDXTYPE	perctrain
const IDXTYPE	perctest
const IDXTYPE	splits
const bool	_randomize
IDXTYPE	current_split

---

Detailed Description

template<class INTERVALCONTAINER, typename IDXTYPE, typename BINTYPE>
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.

Examples:

demo22.cpp, demo23.cpp, demo30.cpp, demo31.cpp, demo32t.cpp, demo33.cpp, demo33t.cpp, demo35t.cpp, demo53.cpp, demo54.cpp, demo55.cpp, and demo62.cpp.

---

Member Function Documentation

template<class INTERVALCONTAINER , typename IDXTYPE , typename BINTYPE >

Data_Splitter_RandomRandom* FST::Data_Splitter_RandomRandom< INTERVALCONTAINER, IDXTYPE, BINTYPE >::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.

Reimplemented in FST::Data_Splitter_TrainRandom_TestFixed< INTERVALCONTAINER, IDXTYPE, BINTYPE >.

---

The documentation for this class was generated from the following file:

• data_splitter_randrand.hpp