def __init__(self, config_file, data_file):
vote_parser = Parser(config_file, data_file)
vote_parser.parse_config()
self.D = vote_parser.parse_data()
data = self.data["testing"]["data"][i].T
labels = self.data["testing"]["labels"][i].T
else:
data = np.append(data, self.data["testing"]["data"][i].T, axis=0)
labels = np.append(labels, self.data["testing"]["labels"][i].T, axis=0)
return data, labels
def testing(self, c=20):
k = c/(100/self.k)
data, labels = None, None
for i in range(self.k-1, self.k-k-1, -1):
if data is None and labels is None:
data = self.data["testing"]["data"][i].T
labels = self.data["testing"]["labels"][i].T
else:
data = np.append(data, self.data["testing"]["data"][i].T, axis=0)
labels = np.append(labels, self.data["testing"]["labels"][i].T, axis=0)
return data, labels
if __name__=="__main__":
vote_parser = Parser('../data/vote/vote.config', '../data/vote/vote.data')
vote_parser.parse_config()
D = vote_parser.parse_data()
print D.shape
ucifolder = UCIFolder(D, normalize=False, shuffle=False)
for c in [5,10,15,20,30,50,80]:
train_data, train_labels = ucifolder.training(c)
test_data, test_labels = ucifolder.testing()
print train_data.shape, test_data.shape