code: def test_init_train_no_num(self, backbone, tmpdir):
      no_num_sample = {
          DataKeys.INPUT: (
              torch.randint(0, 10, size=(4,)),
              torch.empty(0),
          ),
          DataKeys.TARGET: 1,
      }
      dataset = StaticDataset(no_num_sample, 4)
  
      args = self.task_args
      kwargs = dict(**self.task_kwargs)
      kwargs.update(num_features=4)
      model = self.task(*args, **kwargs)
  
      trainer = flash.Trainer(
          default_root_dir=tmpdir, fast_dev_run=True
      )
      trainer.fit(
          model, model.process_train_dataset(dataset, batch_size=4)
      )
  
imports: from typing import Any
  from unittest.mock import patch
  import flash
  import pandas
  import pytest
  import torch
  from flash.core.data.io.input import DataKeys
  from flash.core.utilities.imports import _TOPIC_SERVE_AVAILABLE, _TOPIC_TABULAR_AVAILABLE
  from flash.tabular.classification.data import TabularClassificationData
  from flash.tabular.classification.model import TabularClassifier
  from torch import Tensor
  from tests.helpers.task_tester import StaticDataset, TaskTester
label_desc: Use image node_id 6 for calling the TestTabularClassifier obj's underlying member method code with example usage: obj.test_init_train_no_num(backbone, tmpdir) without return types