code: def __init__(self, params):
      super(BaselineRegressorAlgorithm, self).__init__(params)
      logger.debug("BaselineRegressorAlgorithm.__init__")
  
      self.library_version = sklearn.__version__
      self.max_iters = additional.get("max_steps", 1)
      self.model = DummyRegressor(strategy="mean")
  
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 1 to create a new BaselineRegressorAlgorithm object from inherited base classes: SklearnAlgorithm, RegressorMixin with example: obj = BaselineRegressorAlgorithm(params)