code: def save(self, model_file_path):
      logger.debug(
          "SklearnAlgorithm save to {0}".format(model_file_path)
      )
      joblib.dump(self.model, model_file_path, compress=True)
      self.model_file_path = model_file_path
  
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 4 for calling the SklearnAlgorithm obj's underlying member method code with example usage: obj.save(model_file_path) without return types