-
Notifications
You must be signed in to change notification settings - Fork 0
/
testloadreg.py
51 lines (40 loc) · 1.53 KB
/
testloadreg.py
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
46
47
48
49
50
51
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Sun Nov 12 20:32:32 2017
@author: nigno
"""
from __future__ import print_function, division
import numpy as np
import torch
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
# Print iterations progress
def printProgressBar (iteration, total, prefix = '', suffix = '', decimals = 1, length = 100, fill = '█'):
"""
Call in a loop to create terminal progress bar
@params:
iteration - Required : current iteration (Int)
total - Required : total iterations (Int)
prefix - Optional : prefix string (Str)
suffix - Optional : suffix string (Str)
decimals - Optional : positive number of decimals in percent complete (Int)
length - Optional : character length of bar (Int)
fill - Optional : bar fill character (Str)
"""
percent = ("{0:." + str(decimals) + "f}").format(100 * (iteration / float(total)))
filledLength = int(length * iteration // total)
bar = fill * filledLength + '-' * (length - filledLength)
print('\r%s |%s| %s%% %s' % (prefix, bar, percent, suffix), end = '\r')
# Print New Line on Complete
if iteration == total:
print()
abserrorTrainArray = np.load("abserrorTrain.npy")
abserrorArray = np.load("abserror.npy")
print (abserrorTrainArray)
print (abserrorArray)
fig = plt.figure()
plt.plot(abserrorTrainArray, color='blue')
plt.plot(abserrorArray, color='red')
plt.show()
raw_input('Press enter to continue: ')