code: def run(self):
      logger.info("Running Tabular Training...")
      if self.args.train:
          params = TabularParams(
              data_path=self.args.data_path,
              model=self.args.model,
              username=self.args.username,
              seed=self.args.seed,
              train_split=self.args.train_split,
              valid_split=self.args.valid_split,
              project_name=self.args.project_name,
              token=self.args.token,
              push_to_hub=self.args.push_to_hub,
              id_column=self.args.id_column,
              target_columns=self.args.target_columns,
              repo_id=self.args.repo_id,
              categorical_columns=self.args.categorical_columns,
              numerical_columns=self.args.numerical_columns,
              task=self.args.task,
              num_trials=self.args.num_trials,
              time_limit=self.args.time_limit,
              categorical_imputer=self.args.categorical_imputer,
              numerical_imputer=self.args.numerical_imputer,
              numeric_scaler=self.args.numeric_scaler,
          )
  
          params = tabular_munge_data(
              params, local=self.args.backend.startswith("local")
          )
          project = AutoTrainProject(
              params=params, backend=self.args.backend
          )
          _ = project.create()
  
file_path: autotrain-advanced/src/autotrain/cli/run_tabular.py
imports: from argparse import ArgumentParser
  from autotrain import logger
  from autotrain.cli.utils import common_args, tabular_munge_data
  from autotrain.project import AutoTrainProject
  from autotrain.trainers.tabular.params import TabularParams
  from .None import BaseAutoTrainCommand
label_desc: Use image node_id 3 for calling the RunAutoTrainTabularCommand obj's underlying member method code with example usage: obj.run() without return types