code: def fit(self, loss_function, dataset):
      model_file = get_test_output_path("model{}.bin")
      yc.execute(
          [
              CATBOOST_PATH,
              "fit",
              "--loss-function",
              loss_function,
              "-f",
              dataset.train_file,
              "--cd",
              dataset.cd_file,
              "-i",
              "10",
              "-T",
              "4",
              "-m",
              model_file,
          ]
      )
      return model_file
  
imports: import os
  import pytest
  import re
  import yatest.common
  from lib import data_file, get_limited_precision_dsv_diff_tool
label_desc: Use image node_id 1 for calling the TestModeNormalizeModel obj's underlying member method code with example usage: obj.fit(loss_function, dataset) and returns: model_file