code: def save(self, model_file_path):
      self.model.save_model(model_file_path)
      self.model_file_path = model_file_path
      logger.debug(
          "CatBoostAlgorithm save model to %s" % model_file_path
      )
  
imports: import copy
  import logging
  import os
  import time
  import numpy
  import pandas
  from sklearn.base import ClassifierMixin, RegressorMixin
  from supervised.algorithms.algorithm import BaseAlgorithm
  from supervised.algorithms.registry import BINARY_CLASSIFICATION, MULTICLASS_CLASSIFICATION, REGRESSION, AlgorithmsRegistry
  from supervised.preprocessing.preprocessing_utils import PreprocessingUtils
  from supervised.utils.config import LOG_LEVEL
  from supervised.utils.metric import CatBoostEvalMetricAveragePrecision, CatBoostEvalMetricMSE, CatBoostEvalMetricPearson, CatBoostEvalMetricSpearman, CatBoostEvalMetricUserDefined
  import catboost
  from catboost import CatBoost, CatBoostClassifier, CatBoostRegressor, Pool
label_desc: Use image node_id 7 for calling the CatBoostAlgorithm obj's underlying member method code with example usage: obj.save(model_file_path) without return types