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()
plot_and_save(X_orig, y_orig, title='ORIGINAL', filename='images/ORIG_' + dataset + '.png')
# creating prototype generation object
for mode in range(1,3):
title = ""
if mode == 1:
rps = ReductionBySpacePartitioning1(b=30)
title = "ReductionBySpacePartitioning 1 - b =30"
elif mode == 2:
rps = ReductionBySpacePartitioning2(b=30)
title = "ReductionBySpacePartitioning 2 - b =30"
elif mode == 3:
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)
