MultiBoost Namespace Reference

Classes
class	AdaBoostLearner
	The AdaBoost learner. More...
class	Classifier
	Classify a dataset. More...
class	ClassMappings
	An static class with the class mappings. More...
class	InputData
	Handles the data. More...
class	OutputInfo
	Format and output step-by-step information. More...
class	Serialization
	The serialization (saving) of the weak learners found. More...
class	UnSerialization
	The un-serialization (loading) of the weak learners found. More...
class	SortedData
	Overloading of the InputData class to support sorting of the column. More...
class	BaseLearner
	Generic base learner. More...
class	MultiStumpLearner
	A multi threshold decision stump learner. More...
class	SingleStumpLearner
	A single threshold decision stump learner. More...
class	StumpLearner
	A generic decision stump learner. More...
Typedefs
typedef vector< pair< int, double > >::iterator	vpIterator
	Iterator on pair.
typedef vector< pair< int, double > >::const_iterator	cvpIterator
	Const iterator on pair.
Enumerations
enum	eInputType { IT_TRAIN, IT_TEST }
	Defines the type of input. More...

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Enumeration Type Documentation

enum eInputType

Defines the type of input. Used in case train and test differs in any way. Date: 21/11/2005 Enumerator: IT_TRAIN  If the input is train-type. IT_TEST  If the input is test-type. Definition at line 55 of file InputData.h.

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