[英]How to use Triple Exponential Smoothing to forecast into future?
I want to use Holt-Winters method to forecast into the future.我想使用 Holt-Winters 方法来预测未来。 To predict the current values for IdCount
with Exponential Smoothing I used this code:为了使用指数平滑预测IdCount
的当前值,我使用了以下代码:
df['TES_mul'] = ExponentialSmoothing(df['IdCount'],trend='add',seasonal='add',seasonal_periods=9).fit().fittedvalues
This works out fine.这很好。 Now, I want to "use" Triple Exponential Smmothing to predict future values.现在,我想“使用”Triple Exponential Smmothing 来预测未来值。
What do I have to do here?我必须在这里做什么?
"Triple Exponential Smoothing" is also known as the Hold-Winters method. “三重指数平滑”也称为 Hold-Winters 方法。 Please take a look the documentation of: from statsmodels.tsa.holtwinters import ExponentialSmoothing
请查看以下文档: from statsmodels.tsa.holtwinters import ExponentialSmoothing
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