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'))