code: def is_fitted(self):
      return (
          hasattr(self.model, "n_outputs_")
          and self.model.n_outputs_ is not None
          and self.model.n_outputs_ > 0
      )
  
file_path: mljar-supervised/supervised/algorithms/baseline.py
imports: import logging
  import os
  import sklearn
  from sklearn.base import ClassifierMixin, RegressorMixin
  from sklearn.dummy import DummyClassifier, DummyRegressor
  from supervised.algorithms.registry import BINARY_CLASSIFICATION, MULTICLASS_CLASSIFICATION, REGRESSION, AlgorithmsRegistry
  from supervised.algorithms.sklearn import SklearnAlgorithm
  from supervised.utils.config import LOG_LEVEL
label_desc: Use image node_id 3 for calling the BaselineRegressorAlgorithm obj's underlying member method code with example usage: obj.is_fitted() and returns: unknown