code: def _get_clf(
      self, num_classes=2, early_stopping=5, early_stopping_acc=-1
  ):
      embedding_matrix = torch.rand(10, 20)
      return KimCNNClassifier(
          num_classes,
          embedding_matrix=embedding_matrix,
          num_epochs=2,
          out_channels=15,
          max_seq_len=20,
          kernel_heights=[2, 3],
          device="cpu",
          early_stopping=early_stopping,
          early_stopping_acc=early_stopping_acc,
      )
  
imports: import unittest
  import pytest
  import numpy
  from unittest.mock import patch
  from small_text.base import LABEL_UNLABELED
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
  from small_text.training.metrics import Metric
  from small_text.training.early_stopping import EarlyStopping, EarlyStoppingOrCondition
label_desc: Use image node_id 1 for calling the KimCNNTest obj's underlying member method code with example usage: obj._get_clf(num_classes, early_stopping, early_stopping_acc) and returns: KimCNNClassifier