-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathmain.py
215 lines (178 loc) · 7.59 KB
/
main.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
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
from datset_utils import *
from probability_calc import *
from time_slice import *
# CREO TRAIN E TEST SET PER DATASET A
def create_set_A(mergedDataset, days):
# test da 2 giorni
if days == 1:
trainIndex = range(0, 367)
testIndex = range(368, len(mergedDataset.index))
train = mergedDataset.loc[trainIndex, :]
test = mergedDataset.loc[testIndex, :]
elif days == 2:
trainIndex = range(68, len(mergedDataset.index))
testIndex = range(0, 67)
train = mergedDataset.loc[trainIndex, :]
test = mergedDataset.loc[testIndex, :]
elif days == 3:
trainIndex = range(0, 247)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(319,len(mergedDataset.index)),:])
testIndex = range(248, 318)
test = mergedDataset.loc[testIndex, :]
elif days == 4:
trainIndex = range(0, 318)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(367, len(mergedDataset.index)), :])
testIndex = range(319, 366)
test = mergedDataset.loc[testIndex, :]
elif days == 5:
trainIndex = range(0, 105)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(159, len(mergedDataset.index)), :])
testIndex = range(106, 158)
test = mergedDataset.loc[testIndex, :]
# test da 3 giorni
elif days == 6:
trainIndex = range(0, 339)
testIndex = range(340, len(mergedDataset.index))
train = mergedDataset.loc[trainIndex, :]
test = mergedDataset.loc[testIndex, :]
elif days == 7:
trainIndex = range(106, len(mergedDataset.index))
testIndex = range(0, 105)
train = mergedDataset.loc[trainIndex, :]
test = mergedDataset.loc[testIndex, :]
elif days == 8:
trainIndex = range(0, 205)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(319,len(mergedDataset.index)),:])
testIndex = range(206, 318)
test = mergedDataset.loc[testIndex, :]
elif days == 9:
trainIndex = range(0, 278)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(367, len(mergedDataset.index)), :])
testIndex = range(279, 366)
test = mergedDataset.loc[testIndex, :]
elif days == 10:
trainIndex = range(0, 67)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(159, len(mergedDataset.index)), :])
testIndex = range(68, 158)
test = mergedDataset.loc[testIndex, :]
return train, test
def create_set_B(mergedDataset, days):
# test da 2 giorni
if days == 1:
trainIndex = range(0, 580)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(808, len(mergedDataset.index)), :])
testIndex = range(581, 807)
test = mergedDataset.loc[testIndex, :]
elif days == 2:
trainIndex = range(0, 1827)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(2079, len(mergedDataset.index)), :])
testIndex = range(1828, 2078)
test = mergedDataset.loc[testIndex, :]
elif days == 3:
trainIndex = range(0, 15)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(275, len(mergedDataset.index)), :])
testIndex = range(16, 274)
test = mergedDataset.loc[testIndex, :]
elif days == 4:
trainIndex = range(0, 1706)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(1963, len(mergedDataset.index)), :])
testIndex = range(1707, 1962)
test = mergedDataset.loc[testIndex, :]
elif days == 5:
trainIndex = range(0, 1105)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(1302, len(mergedDataset.index)), :])
testIndex = range(1106, 1301)
test = mergedDataset.loc[testIndex, :]
# test da 7 giorni
elif days == 6:
trainIndex = range(0, 580)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(1425, len(mergedDataset.index)), :])
testIndex = range(581, 1424)
test = mergedDataset.loc[testIndex, :]
elif days == 7:
trainIndex = range(0, 1206)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(1964, len(mergedDataset.index)), :])
testIndex = range(1207, 1963)
test = mergedDataset.loc[testIndex, :]
elif days == 8:
trainIndex = range(0, 15)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(809, len(mergedDataset.index)), :])
testIndex = range(16, 808)
test = mergedDataset.loc[testIndex, :]
elif days == 9:
trainIndex = range(0, 1004)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(1708, len(mergedDataset.index)), :])
testIndex = range(1005, 1707)
test = mergedDataset.loc[testIndex, :]
elif days == 10:
trainIndex = range(0, 1105)
train = mergedDataset.loc[trainIndex, :]
train = train.append(mergedDataset.loc[range(1825, len(mergedDataset.index)), :])
testIndex = range(1106, 1824)
test = mergedDataset.loc[testIndex, :]
return train,test
# predizione sul dataset dt
def calculate(dt, days, method):
if method==1:
# NO TIME SLICE
if dt == 1:
dataset = 'Dataset/OrdonezA_ADLs.txt'
sensor = 'Dataset/OrdonezA_Sensors.txt'
else:
dataset = 'Dataset/OrdonezB_ADLs.txt'
sensor = 'Dataset/OrdonezB_Sensors.txt'
mergedDataset = merge_dataset(dataset, sensor)
# CREO TRAIN E TEST SET
if dataset == 'Dataset/OrdonezA_ADLs.txt':
train, test = create_set_A(mergedDataset, days)
else:
train, test = create_set_B(mergedDataset, days)
startProb = get_start_prob(train)
transProb = get_trans_prob(train, dt)
obsProb = get_obs_prob(train, dt)
# CONVERTO OSSERVAZIONI IN NUMERI
evidences = mergedDataset['Evidence'].unique().tolist()
emissions = test['Evidence'].values.flatten()
for idx, val in enumerate(emissions):
emissions[idx] = evidences.index(val)
# CONVERTO GLI STATI IN NUMERI
states = mergedDataset['Activity'].unique().tolist()
giusti = test['Activity'].values.flatten()
for idx, val in enumerate(giusti):
giusti[idx] = states.index(val)
# VITERBI
viterbi_result, b, c = hmm.viterbi(emissions, transProb.values, obsProb.values, startProb.values.flatten())
# CONTO QUANTI STATI HO INDOVINATO
result = 0
for ind, val in enumerate(viterbi_result):
if val == giusti[ind]:
result = result + 1
print("DATASET: {}".format(dataset))
print("Stati effettivi: {}".format(giusti))
print("Stati predetti: {}".format(viterbi_result))
print("Stati corretti: {} su {}".format(result, len(test)))
accuracy = (result * 100) / len(test)
print("Accuratezza: {}".format(accuracy))
else:
# TIME SLICE
giusti, viterbi_result, accuracy = slice_prob(dt, days)
return viterbi_result, giusti, accuracy
if __name__ == '__main__':
# 1=dataset A, 2=dataset B
# datset, days, method(1=no Time Slice)
calculate(1, 2, 2)