code: def __init__(
      self,
      operator,
      regression=False,
      classification=False,
      transformer=False,
      anomaly_detection=False,
      **kwargs,
  ):
      """
      Args:
          regression: Whether operator is a regression model.
          classification: Whether the operator is a classification model.
          transformer: Whether the operator is a feature transformer.
          anomaly_detection: Whether the operator is an anomaly detection model.
          kwargs: Other keyword arguments.
      """
  
      super().__init__()
      # Get the base information from the operator.
      self.name = operator.full_name
      self.inputs = [input_.full_name for input_ in operator.inputs]
      self.outputs = [output_.full_name for output_ in operator.outputs]
      # An operator can be either a model or a transformer. In the latter case, self.transformer must be set to True.
      # In the former case, if a model is doing regression, then self.regression must be set to True.
      # Otherwise classification must be True.
      self.regression = regression
      self.classification = classification
      self.transformer = transformer
      self.anomaly_detection = anomaly_detection
  
label_desc: Use image node_id 1 to create a new PhysicalOperator object from inherited base classes: ABC with example: obj = PhysicalOperator(operator, regression, classification, transformer, anomaly_detection)