|
a |
|
b/tests.py |
|
|
1 |
import unittest |
|
|
2 |
from utils import Feats |
|
|
3 |
from utils import SimulateRaw |
|
|
4 |
from utils import PreProcess |
|
|
5 |
from utils import CreateModel |
|
|
6 |
from utils import TrainTestVal |
|
|
7 |
from utils import LoadMuseData |
|
|
8 |
from utils import FeatureEngineer |
|
|
9 |
|
|
|
10 |
|
|
|
11 |
class ExampleTest(unittest.TestCase): |
|
|
12 |
""" |
|
|
13 |
Our basic test class |
|
|
14 |
""" |
|
|
15 |
|
|
|
16 |
def test_addition(self): |
|
|
17 |
""" |
|
|
18 |
The actual test. |
|
|
19 |
Any method which starts with ``test_`` will considered as a test case. |
|
|
20 |
""" |
|
|
21 |
res = 2 + 2 |
|
|
22 |
self.assertEqual(res, 4) |
|
|
23 |
|
|
|
24 |
def test_feats(self): |
|
|
25 |
""" |
|
|
26 |
Testing utils import. |
|
|
27 |
""" |
|
|
28 |
feats = Feats() |
|
|
29 |
self.assertEqual(feats.num_classes, 2) |
|
|
30 |
|
|
|
31 |
def test_example_muse(self): |
|
|
32 |
""" |
|
|
33 |
Testing example Muse code. |
|
|
34 |
""" |
|
|
35 |
|
|
|
36 |
# Load Data |
|
|
37 |
raw = LoadMuseData(subs=[101, 102], nsesh=2, data_dir='visual/cueing') |
|
|
38 |
|
|
|
39 |
# Pre-Process EEG Data |
|
|
40 |
epochs = PreProcess(raw=raw, event_id={'LeftCue': 1, 'RightCue': 2}) |
|
|
41 |
|
|
|
42 |
# Engineer Features for Model |
|
|
43 |
feats = FeatureEngineer(epochs=epochs) |
|
|
44 |
|
|
|
45 |
# Create Model |
|
|
46 |
model, _ = CreateModel(feats=feats) |
|
|
47 |
|
|
|
48 |
# Train with validation, then Test |
|
|
49 |
model, data = TrainTestVal(model=model, |
|
|
50 |
feats=feats, |
|
|
51 |
train_epochs=1, |
|
|
52 |
show_plots=False) |
|
|
53 |
|
|
|
54 |
self.assertLess(data['acc'], 1) |
|
|
55 |
|
|
|
56 |
|
|
|
57 |
def test_simulate_raw(self): |
|
|
58 |
""" |
|
|
59 |
Testing simulated data pipeline. |
|
|
60 |
""" |
|
|
61 |
# Simulate Data |
|
|
62 |
raw,event_id = SimulateRaw(amp1=50, amp2=60, freq=1.) |
|
|
63 |
|
|
|
64 |
# Pre-Process EEG Data |
|
|
65 |
epochs = PreProcess(raw,event_id) |
|
|
66 |
|
|
|
67 |
# Engineer Features for Model |
|
|
68 |
feats = FeatureEngineer(epochs) |
|
|
69 |
|
|
|
70 |
# Create Model |
|
|
71 |
model, _ = CreateModel(feats, units=[16,16]) |
|
|
72 |
|
|
|
73 |
# Train with validation, then Test |
|
|
74 |
model, data = TrainTestVal(model,feats, |
|
|
75 |
train_epochs=1,show_plots=False) |
|
|
76 |
|
|
|
77 |
self.assertLess(data['acc'], 1) |
|
|
78 |
|
|
|
79 |
def test_frequencydomain_complex(self): |
|
|
80 |
""" |
|
|
81 |
Testing simulated data pipeline. |
|
|
82 |
""" |
|
|
83 |
# Simulate Data |
|
|
84 |
raw,event_id = SimulateRaw(amp1=50, amp2=60, freq=1.) |
|
|
85 |
|
|
|
86 |
# Pre-Process EEG Data |
|
|
87 |
epochs = PreProcess(raw,event_id) |
|
|
88 |
|
|
|
89 |
# Engineer Features for Model |
|
|
90 |
feats = FeatureEngineer(epochs,frequency_domain=True, |
|
|
91 |
include_phase=True) |
|
|
92 |
|
|
|
93 |
# Create Model |
|
|
94 |
model, _ = CreateModel(feats, units=[16,16]) |
|
|
95 |
|
|
|
96 |
# Train with validation, then Test |
|
|
97 |
model, data = TrainTestVal(model,feats, |
|
|
98 |
train_epochs=1,show_plots=False) |
|
|
99 |
|
|
|
100 |
self.assertLess(data['acc'], 1) |
|
|
101 |
|
|
|
102 |
if __name__ == '__main__': |
|
|
103 |
unittest.main() |
Datasets
Models
