def test_save_and_load_breakdown(self):
m = HNodeSimple(self.data)
m.sample(500, dbname='test.db', db='pickle')
m.save('test.model')
m_load = kabuki.utils.load('test.model')
os.remove('test.db')
os.remove('test.model')
def test_concat(self):
n_subj = 5
data, params = kabuki.generate.gen_rand_data(gen_func_df, {'A':{'loc':0, 'scale':1}, 'B': {'loc':0, 'scale':1}}, subjs=n_subj)
data = pd.DataFrame(data)
models = []
for i in range(4):
m = HNodeSimple(data)
m.sample(100, burn=0, db='pickle', dbname='test_%d'%i)
models.append(m)
super_model = kabuki.utils.concat_models(models)
stochs = super_model.get_stochastics()
for stoch in stochs.node:
self.assertEqual(len(stoch.trace[:]), 100*4)
for i in range(4):
os.remove('test_%d'%i)
