MultiBoost Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

AdaBoostLearner	The AdaBoost learner
Args	Handle the command line arguments
Args::Argument	Holds the informations of a single argument
BaseLearner	Generic base learner
BaseLearner::LearnersRegs	Holds the information about the registered learners
Classifier	Classify a dataset
Classifier::ExampleResults	Holds the results per example
ClassMappings	An static class with the class mappings
InputData	Handles the data
InputData::Example	Holds the data of the single example
MultiStumpLearner	A multi threshold decision stump learner
OutputInfo	Format and output step-by-step information
Serialization	The serialization (saving) of the weak learners found
SingleStumpLearner	A single threshold decision stump learner
SortedData	Overloading of the InputData class to support sorting of the column
StreamTokenizer	Can tokenize a stream
StumpLearner	A generic decision stump learner
StumpLearner::sRates	The per class rates
UnSerialization	The un-serialization (loading) of the weak learners found
white_tab	Set the whitespace to tabs and newlines only

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