def _generate_holts_es_forecast(self):
demand = (list(self.__orders.get("demand")))
orders = [int(i) for i in demand]
htces = holts_trend_corrected_exponential_smoothing_forecast(demand=orders, alpha=0.5, gamma=0.5, optimise=True)
return htces
def _generate_holts_es_forecast(self):
demand = (list(self.__orders.get("demand")))
orders = [int(i) for i in demand]
htces = holts_trend_corrected_exponential_smoothing_forecast(
demand=orders, alpha=0.5, gamma=0.5, optimise=True)
return htces
def test_holts_trend_corrected_exponential_smoothing(self):
holts_trend_corrected_esf = holts_trend_corrected_exponential_smoothing_forecast(demand=self._orders,
alpha=0.5,
gamma=0.5,
forecast_length=6,
initial_period=18)
self.assertEqual(281, round(holts_trend_corrected_esf.get('forecast')[0]))
self.assertEqual(308, round(holts_trend_corrected_esf.get('forecast')[1]))
self.assertEqual(334, round(holts_trend_corrected_esf.get('forecast')[2]))
def test_holts_trend_corrected_exponential_smoothing(self):
holts_trend_corrected_esf = holts_trend_corrected_exponential_smoothing_forecast(
demand=self._orders,
alpha=0.5,
gamma=0.5,
forecast_length=6,
initial_period=18,
optimise=False)
self.assertEqual(281,
round(holts_trend_corrected_esf.get('forecast')[0]))
self.assertEqual(308,
round(holts_trend_corrected_esf.get('forecast')[1]))
self.assertEqual(334,
round(holts_trend_corrected_esf.get('forecast')[2]))
def test_holts_trend_corrected_exponential_smoothing(self):
self.htces_forecast = [
i for i in
holts_trend_corrected_exponential_smoothing_forecast_from_file(
file_path=ABS_FILE_PATH['COMPLETE_CSV_XSM'],
file_type='csv',
length=12,
alpha=0.5,
gamma=0.5,
smoothing_level_constant=0.5,
optimise=True)
]
holts_trend_corrected_esf = holts_trend_corrected_exponential_smoothing_forecast(
demand=self._orders,
alpha=0.5,
gamma=0.5,
forecast_length=6,
initial_period=18,
optimise=False)
self.assertEqual(281,
round(holts_trend_corrected_esf.get('forecast')[0]))
self.assertEqual(308,
round(holts_trend_corrected_esf.get('forecast')[1]))
self.assertEqual(334,
round(holts_trend_corrected_esf.get('forecast')[2]))
self.keys = [list(i.keys()) for i in self.htces_forecast]
self.unpack_keys_htces = [i[0] for i in self.keys]
for key in self.sku_id:
self.assertIn(key, self.unpack_keys_htces)
for i in self.htces_forecast:
for k in i.values():
self.assertGreater(k.get('original_standard_error'),
k.get('standard_error'))
