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Machine learning
Home Page: http://rikemen.lolipop.jp/public_html/e-test2.html
This project forked from masayaohgushi/adaboost
Machine learning
Home Page: http://rikemen.lolipop.jp/public_html/e-test2.html
####Adaboost##### This Directory is AdaboostModule adaboost_v2 is better than adaboost because adaboost_v2 is organized than adaboost How to Use 1:Learning adaboost arugument is a data data format is 2 dimension data and label ###For example### x y label 0.21 0.51 1 0.31 0.11 -1 ################# #command sh learn.sh $1 Datanumber+1 ################# 2:Recognition Compile #command gcc Evaluation2.c w_func.c -lm -o eval ./eval smpl e_test2 ################# smple is a test data e_test2 is a learning data Output the recognition data class_p_2 class_m_2 If you use cygwin,you want to show figure please enter the following command #command startxwin.exe ################ After you can look at the another display You enter the command #command plot "class_p_2","class_m_2" ###############
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