-
Notifications
You must be signed in to change notification settings - Fork 1
/
evaluate.py
80 lines (67 loc) · 1.91 KB
/
evaluate.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
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
import json
from models.User import User
from controller.UserController import UserController
import os
from os import listdir
from os.path import isfile, join
from Sample import Sample
import random
random.seed(32425)
class Dummy:
def __init__(self):
pass
def predict(self, data):
type = [0, 0, 0, 0]
for i in range(4):
if random.random() > 0.5:
type[i] = 1
return type
def loadML():
return Dummy()
def decodeType(type):
decoded = ""
if(type[0] == 0):
decoded += "E"
else:
decoded += "I"
if(type[1] == 0):
decoded += "N"
else:
decoded += "S"
if(type[2] == 0):
decoded += "T"
else:
decoded += "F"
if(type[3] == 0):
decoded += "J"
else:
decoded += "P"
return decoded
def main(eval_name, ml):
uc = UserController()
followers = uc.getFollowers(eval_name)
directory = "followers_{}".format(eval_name)
full_directory = "data/{}".format(directory)
if not os.path.exists(full_directory):
os.makedirs(full_directory)
for name in followers:
user = User(name, "{}/unknown".format(directory, name))
if user.valid:
user.writeFile()
path = "data/followers_{}".format(eval_name)
follower_files = [ f for f in listdir(path) if isfile(join(path,f)) ]
result = {}
for i in range(2):
for j in range(2):
for k in range(2):
for l in range(2):
type = [i, j, k, l]
result[decodeType(type)] = []
for file in follower_files:
follower = Sample("{}/{}".format(path, file))
type = ml.predict(follower.data)
result[decodeType(type)].append(follower.twitName)
with open("evaluated/follower_types_{}.json".format(eval_name), "w") as f:
json.dump(result, f)
if __name__ == '__main__':
main("bmw", loadML())