class_docstr: Extract model data and port a MLPRegressor regressor.
code: def __init__(self, estimator: MLPRegressorClass):
      try:
          estimator.coefs_
      except AttributeError:
          estimator_name = estimator.__class__.__qualname__
          raise exception.NotFittedEstimatorError(estimator_name)
  
      super().__init__(estimator)
  
file_path: sklearn-porter/sklearn_porter/estimator/MLPRegressor/__init__.py
imports: from sklearn.neural_network.multilayer_perceptron import MLPRegressor
  from sklearn_porter import enums
  from sklearn_porter import exceptions
  from sklearn_porter.estimator.EstimatorBase import EstimatorBase
  from sklearn_porter.estimator.MLPClassifier import MLPClassifier
label_desc: Use image node_id 1 to create a new MLPRegressor object from inherited base classes: MLPClassifier, EstimatorBase with example: obj = MLPRegressor(estimator)