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 __init__(self, message):
      self.message = message
  
label_desc: Use image node_id 1 to create a new MissingValuesExogWarning object from inherited base classes: UserWarning with example: obj = MissingValuesExogWarning(message)