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  1. # Splitting 80/20
  2. index = round(len(bc)*.80)
  3. train = bc_log.iloc[:index]
  4. test = bc_log.iloc[index:]
  5.  
  6. # Fitting the model to the training set
  7. model = SARIMAX(train,
  8.                 order=(1, 0, 0),
  9.                 seasonal_order=(0,0,0,0),
  10.                 freq='D',
  11.                 enforce_stationarity=False,
  12.                 enforce_invertibility=False)
  13. output = model.fit()
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