Consider the following code:
from statsmodels.tsa.holtwinters import ExponentialSmoothing
model = ExponentialSmoothing( train, trend=None, seasonal=None ).fit(optimized=True)
prediction = model.forecast(5) Which statement best describes this model?

Question

Consider the following code: 
 from statsmodels.tsa.holtwinters import ExponentialSmoothing 
 model = ExponentialSmoothing(     train,     trend=None,     seasonal=None ).fit(optimized=True) 
 prediction = model.forecast(5) Which statement best describes this model?

Accepted Answer

It implements SES, with smoothing parameters estimated automatically.

Answer

It implements a moving average model whose window size is five.

Answer

It implements Holt-Winters because forecasting multiple periods requires seasonality.

Answer

It implements Holt's trend model because  optimized=True  estimates a trend automatically.

Crowdly

Consider the following code: from statsmodels.tsa.holtwinters import Exponenti...

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