# for i in range(20):
# z1 = 2.5 + i * 0.1
# for j in range(20):
# z2 = 0.1 + j * 0.1
# y1, y2 = fsolve(equations, (1.0, 1.0))
# out.write('{0:f}\t{1:f}\t{2:f}\n'.format(z1, z2, objective(y1, y2)))
# out.write('\n')
# out.close()
for i in range(4):
z1 = 0. + i * 0.8
z1s = '{:1.1f}'.format(z1)
for j in range(4):
z2 = 0. + j * 0.8
z2s = '{:1.1f}'.format(z2)
for k in range(4):
y2 = 0. + k * 0.8
y2s = '{:1.1f}'.format(y2)
filename = 'sens_y2x1_dis1_z1_' + z1s + '_z2_' + z2s + '_y2_' + y2s + '.dat'
out2 = open(filename, 'w')
x1 = []
ans = []
for l in range(10):
x1.append(0. + l * 0.8)
ans.append(dis1(z1, z2, x1[-1], y2))
out2.write('{0:f}\t{1:f}\n'.format(x1[-1], ans[-1]))
# print(y2, ans)
print('{0:f}\t{1:f}\t{2:f}\t{3:f}\t{4:s}\n'.format(
z1, z2, y2, x1[-1], fit(x1, ans, 1)))
out2.close()
def _transfer_x(self, x):
# 遍历每个元素，利用转换字典进行数值化
for j, char in enumerate(x):
x[j] = self._feat_dics[j][char]
return x
if __name__ == '__main__':
#导入标准库time以计时，导入DataUtil类以获取数据
import time
from Util import DataUtil
#遍历1.0,1.5两个版本的气球数据集
for dataset in ("balloon1.0", "balloon1.5"):
# 读入数据
_x, _y = DataUtil.get_dataset(dataset,
"../../_Data/{}.txt".format(dataset))
#实例化模型并进行训练、同时记录整个过程花费的时间
learning_time = time.time()
nb = MultinomialNB()
np.fit(_x, _y)
learning_time = time.time() - learning_time
#评估模型的表现，同时记录评估过程花费的时间
estimation_time = time.time()
nb.evaluate(_x, _y)
estimation_time = time.time() - estimation_time
#将记录下来的耗时输出
print("Model building : {:12.6} s\n"
"Estimation : {:12.6} s\n"
"Total : {:12.6} s".format(learning_time, estimation_time,
learning_time + estimation_time))
# z1 = 2.5 + i * 0.1
# for j in range(20):
# z2 = 0.1 + j * 0.1
# y1, y2 = fsolve(equations, (1.0, 1.0))
# out.write('{0:f}\t{1:f}\t{2:f}\n'.format(z1, z2, objective(y1, y2)))
# out.write('\n')
# out.close()
for i in range(4):
z1 = 0. + i * 0.8
z1s = '{:1.1f}'.format(z1)
for j in range(4):
z2 = 0. + j * 0.8
z2s = '{:1.1f}'.format(z2)
for k in range(4):
y2 = 0. + k * 0.8
y2s = '{:1.1f}'.format(y2)
filename = 'sens_y2x1_dis1_z1_' + z1s + '_z2_' + z2s + '_y2_' + y2s + '.dat'
out2 = open(filename, 'w')
x1 = []
ans = []
for l in range(10):
x1.append(0. + l * 0.8)
ans.append(dis1(z1, z2, x1[-1], y2))
out2.write('{0:f}\t{1:f}\n'.format(x1[-1], ans[-1]))
# print(y2, ans)
print('{0:f}\t{1:f}\t{2:f}\t{3:f}\t{4:s}\n'.format(z1, z2, y2, x1[-1], fit(x1, ans, 1)))
out2.close()
def Handler(ss):
global A, R, x
data = ss.recv(100)
Id, u, w = loads(b64decode(data))
ss.send("OK\n")
ss.close()
A.append(u)
R.append(w)
x.append(Id + 1)
s = socket()
s.setsockopt(SOL_SOCKET, SO_REUSEADDR, 0)
s.bind((MAINSERVER, MAINPORT))
s.listen(100)
global A, R, x
A = []
R = []
x = []
for i in xrange(T + 1):
ss = s.accept()[0]
t = Thread(target=Handler, args=(ss, ))
t.setDaemon(True)
t.start()
sleep(5)
print A, R, x
Ax = poly(fit(x, A, T))
print Ax
print Ax(0)
