code: def load(self, model_file_path):
      logger.debug(
          "SklearnAlgorithm loading model from {0}".format(
              model_file_path
          )
      )
      self.model = joblib.load(model_file_path)
      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 5 for calling the SklearnAlgorithm obj's underlying member method code with example usage: obj.load(model_file_path) without return types