def run_on_random(num_ts=5, n_points=70, prompt=False):
n_plots_long = 5
n_plots_wide = 1
i = 0
#timescale = (5, 'day')
timescale = None
params = {'beta_step': 1000,
'beta_d1': 0.0,
'beta_d2': 1.0
}
for seed in xrange(num_ts):
print 'seed: %s' % seed
t, y = make_random_ts(n_points, seed=seed)
model = ZaggyModel(t, y, timescale=timescale, params=params)
model.fit()
if doplot:
if i % (n_plots_long*n_plots_wide) == 0:
plt.clf()
n_plot = (i % (n_plots_long*n_plots_wide)) + 1
plt.subplot(n_plots_long, n_plots_wide, n_plot)
plt.plot(t, y)
plt.plot(t, model.solution['model'])
if prompt:
ans = raw_input('ok?:')
if ans == 'q':
return
i += 1
def test_return_values(self):
t, y = rts.make_random_ts(5)
self.assertEquals(len(t), 5)
self.assertEquals(len(y), 5)
self.assertTrue(isinstance(t, np.ndarray))
self.assertTrue(isinstance(y, np.ndarray))
self.assertTrue(isinstance(t[0], datetime.datetime))
self.assertTrue(isinstance(y[0], np.float64))