class_docstr: Warning used to notify there are missing values in the exogenous data.
  This warning occurs when the input data passed to the `exog` arguments contains
  missing values. Most machine learning models do not accept missing values, therefore
  the forecaster `fit` and `predict` may fail.
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code: def __str__(self):
      extra_message = (
          "\n You can suppress this warning using: "
          "warnings.simplefilter('ignore', category=MissingValuesExogWarning)"
      )
      return self.message + " " + extra_message
  
label_desc: Use image node_id 2 for calling the MissingValuesExogWarning obj's underlying member method code with example usage: obj.__str__() and returns: unknown