1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
|
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sbn
sbn.set_style("white")
def three():
with open("gibbs_2.txt") as fh:
values = [map(float, line.strip().split()) for line in fh]
a, b, c = zip(*values)
plt.figure(figsize=(8, 6))
plt.plot(a, -np.array(b), label="train")
plt.plot(a, -np.array(c), label="test")
plt.legend(loc="lower right")
plt.xlabel("Epoch")
plt.ylabel("Likelihood")
plt.savefig("2.pdf")
def four():
plt.figure(figsize=(8, 6))
for i in xrange(1, 11):
with open("gibbs_" + str(i) + ".txt") as fh:
values = [map(float, line.strip().split()) for line in fh]
a, b, c = zip(*values)
plt.plot(a, np.array(b), label="K=" + str(i))
plt.legend(loc="upper right")
plt.xlabel("Epoch")
plt.ylabel("MSE")
plt.axes().set_yscale("log")
plt.savefig("train.pdf")
plt.figure(figsize=(8, 6))
for i in xrange(1, 11):
with open("gibbs_" + str(i) + ".txt") as fh:
values = [map(float, line.strip().split()) for line in fh]
a, b, c = zip(*values)
plt.plot(a, np.array(c), label="K=" + str(i))
plt.legend(loc="upper right")
plt.xlabel("Epoch")
plt.ylabel("MSE")
plt.axes().set_yscale("log")
plt.savefig("test.pdf")
four()
|
