code: def __init__(self, params):
      super(SklearnTreesEnsembleRegressorAlgorithm, self).__init__(
          params
      )
      self.log_metric = Metric(
          {"name": self.params.get("eval_metric_name", "rmse")}
      )
      self.predict_function = predict_function
  
imports: import copy
  import logging
  import time
  import warnings
  import joblib
  import numpy
  import pandas
  from supervised.algorithms.algorithm import BaseAlgorithm
  from supervised.algorithms.registry import BINARY_CLASSIFICATION, MULTICLASS_CLASSIFICATION, REGRESSION
  from supervised.utils.config import LOG_LEVEL
  from supervised.utils.metric import Metric
label_desc: Use image node_id 1 to create a new SklearnTreesEnsembleRegressorAlgorithm object from inherited base classes: SklearnTreesEnsembleClassifierAlgorithm with example: obj = SklearnTreesEnsembleRegressorAlgorithm(params)