def test_prophet_kwargs_set_params(self):
prophet_original_pars = {'n_changepoints': 10}
m = SkProphet(prophet_kwargs=prophet_original_pars)
prophet_new_pars = {
'prophet_kwargs': {
'yearly_seasonality': 4
},
'n_changepoints': 2,
}
m.set_params(**prophet_new_pars)
expected_prophet_kwargs = {
'yearly_seasonality': 4,
'n_changepoints': 2
}
self.assertEqual(m.prophet_kwargs, expected_prophet_kwargs)
self.assertEqual(m.yearly_seasonality, 4)
self.assertEqual(m.n_changepoints, 2)
def test_set_params(self):
sk_date_column = 'ds'
sk_yhat_only = True
sk_extra_regressors = [dict(name='x', mode='multiplicative')]
prophet_kwargs = {'daily_seasonality': True}
p = SkProphet(sk_date_column, sk_yhat_only, sk_extra_regressors,
prophet_kwargs)
# Alternative params
alternative_params = {
'sk_date_column': 'date',
'sk_extra_regressors': [dict(name='z')],
}
new_params = p.get_params(deep=True)
new_params.update(alternative_params)
# Assert params
p.set_params(**new_params)
params = p.get_params(deep=False)
self.assertEqual(new_params, params)
self.assertEqual(p.sk_date_column, 'date')
self.assertEqual(len(p.sk_extra_regressors), 1)
self.assertEqual(p.sk_extra_regressors[0]['name'], 'z')
