def get_prototypes(self, X, y):
if self.mode == 1:
rps = ReductionBySpacePartitioning1(b=self.b)
elif self.mode == 2:
rps = ReductionBySpacePartitioning2(b=self.b)
elif self.mode == 3:
rps = ReductionBySpacePartitioning3()
elif self.mode == 4:
rps = CNN()
elif self.mode == 5:
rps = ENN()
elif self.mode == 6:
rps = RENN()
elif self.mode == 7:
rps = SGP()
else:
rps = TomekLinks()
r = rps.fit(X, y)
if (self.mode < 4):
r.reduce_data()
#print rps.get_prototypes()
return rps.get_prototypes()
rps = ReductionBySpacePartitioning3()
title = "ReductionBySpacePartitioning 3"
elif mode == 4:
rps = CNN()
title = "CNN"
elif mode == 5:
rps = ENN()
title = "ENN"
elif mode == 6:
rps = RENN()
title = "RENN"
elif mode == 7:
rps = SGP()
title = "SGP"
else:
rps = TomekLinks()
title = "Tomek Links"
r = rps.fit(X_orig, y_orig)
if (mode < 4):
r.reduce_data()
X, y = rps.get_prototypes()
print "Algoritmo ", mode, dataset + '\treduction: %.2f' % (1.0 - float(y.shape[0])/len(y_orig))
plot_and_save(X, y, title=title, filename='images/RSP_b=30' + dataset + "Algoritmo " + str(mode) + '.png')