code: def __init__(self, params):
      super(LinearRegressorAlgorithm, self).__init__(params)
      logger.debug("LinearRegressorAlgorithm.__init__")
      self.max_iters = 1
      self.library_version = sklearn.__version__
      self.model = LinearRegression(
          n_jobs=self.params.get("n_jobs", -1)
      )
  
imports: import logging
  import os
  import warnings
  import numpy
  import pandas
  import sklearn
  from sklearn.base import ClassifierMixin, RegressorMixin
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.linear_model import LinearRegression, LogisticRegression
  from supervised.algorithms.algorithm import BaseAlgorithm
  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 LinearRegressorAlgorithm object from inherited base classes: SklearnAlgorithm, RegressorMixin with example: obj = LinearRegressorAlgorithm(params)