Created
March 23, 2020 04:06
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| from statsmodels.tsa.api import ExponentialSmoothing | |
| fit1 = ExponentialSmoothing(np.asarray(train['Spend']) ,seasonal_periods=7 ,trend='add', seasonal='add').fit(use_boxcox=True) | |
| test['Holt_Winter'] = fit1.forecast(len(test)) | |
| plt.figure(figsize=(16,8)) | |
| plt.plot( train['Spend'], label='Train') | |
| plt.plot(test['Spend'], label='Test') | |
| plt.plot(test['Holt_Winter'], label='Holt_Winter') | |
| plt.legend(loc='best') | |
| plt.show() |
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