Perceptron Learning rules (pocket algorithm with ratchet)

Budget $30 - $250 USD
Bids 8
Average Bid $91

I need a small program for Perceptron Learning rules (pocket algorithm with ratchet)
#Saves the best weight vector
#If find better than replace the best
#Before replacing w with w1 new, test w old , a w1 new on every input pattern
#Apply the rachet pocket algorithm to linearly separate input patterns
#Can be done in C/C++/JAVA

Must Use follwing dataset

Data for Pocket Algorithm with ratchet

([url removed, login to view] ,0.5,[url removed, login to view],[url removed, login to view],[url removed, login to view],0.3,[url removed, login to view],[url removed, login to view],[url removed, login to view],[url removed, login to view],[url removed, login to view],
[url removed, login to view],[url removed, login to view],0.2,0.2,0.6,0.4,0.7,0.1,0.8,[url removed, login to view],0.9,[url removed, login to view],[url removed, login to view],[url removed, login to view],[url removed, login to view],[url removed, login to view],[url removed, login to view])

#Programe should be able linealy separate all pattern classes

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