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README.txt

#------------------------------------------------
# Author : Emmanuel FERREIRA
# Brief : Petites infos supp concernant icsiboost
#------------------------------------------------

Pour plus d'informations voir le tutoriel : http://code.google.com/p/icsiboost/wiki/Tutorial

Sinon : 

Training database :
*******************

TRAIN.names : fichier contenant la description des differentes classes et parametres
TRAIN.data : exemples pour l'apprentissage
TRAIN.test : exemples pour le test

Training a classifier :
***********************
	`icsiboost -S <stem> -n <nb_it>`
	=> Resultat de l'apprentissage : modele = TRAIN.shyp

	Remarque: en faisant `icsiboost -S <stem> -n <nb_it> | tee <stem>.iter`
		  on peut avoir la courbe d'apprentissage via gnuplot
		 
		gnuplot
		plot '<stem>.iter' using 2:12 with lines title 'training error', '' using 2:10 with lines title 'test error'  
	
Testing the performance :
*************************
	`icsiboost -S <stem> -C <stem>.test`
	Exemple : supposons 2 classes A et B
	(ligne n)	0 1 -0.32... 0.32... // l'entree a la ligne n appartient a la classe B avec un score de 0.32...