def test_segmentation_wisdm_v2(self):
Configurator(self.p).set('settings', 'log_dir', 'logs')
bhar = B_HAR(self.p)
print('%s -> %s' % ('wisdm_v2', str(datetime.fromtimestamp(datetime.timestamp(datetime.now()))).split('.')[0]))
Configurator(self.p).set('dataset', 'path', '%s%s' % (self.ds_path, 'wisdm_v2'))
Configurator(self.p).set('settings', 'data_treatment', 'segmentation')
Configurator(self.p).set('dataset', 'header_type', 'tdcp')
Configurator(self.p).set('settings', 'time', '10')
Configurator(self.p).set('settings', 'sampling_frequency', '20')
Configurator(self.p).set('settings', 'overlap', '0')
Configurator(self.p).set('cleaning', 'filter', 'no')
bhar.get_baseline(['K-NN', 'LDA', 'QDA', 'RF', 'DT'], ['m1_acc'])
self.assertEqual(True, True)
def test_features_mhealth(self):
Configurator(self.p).set('settings', 'log_dir', 'logs')
bhar = B_HAR(self.p)
print('%s -> %s' %
('mhealth',
str(datetime.fromtimestamp(datetime.timestamp(
datetime.now()))).split('.')[0]))
Configurator(self.p).set('dataset', 'path',
'%s%s' % (self.ds_path, 'mhealth'))
Configurator(self.p).set('settings', 'data_treatment',
'features_extraction')
Configurator(self.p).set('dataset', 'header_type', 'dcp')
Configurator(self.p).set('settings', 'time', '5')
Configurator(self.p).set('settings', 'sampling_frequency', '50')
Configurator(self.p).set('settings', 'overlap', '2.5')
Configurator(self.p).set('cleaning', 'low_cut', '20')
bhar.get_baseline(['K-NN', 'LDA', 'QDA', 'RF', 'DT'], ['m1_acc'])
self.assertEqual(True, True)