code: def test_predict_no_convert(self):
      model = VW(loss_function="logistic", convert_to_vw=False)
      model.fit(["-1 | bad", "1 | good"])
      actual = model.predict(["| good"])[0]
      assert np.isclose(actual, 0.245515, atol=1e-2)
  
imports: from collections import namedtuple
  import os
  import numpy
  from packaging import version
  import pandas
  import pytest
  from scipy.sparse import csr_matrix
  from sklearn import datasets, __version__
  from sklearn.model_selection import KFold
  from sklearn.utils.estimator_checks import check_estimator
  from vowpalwabbit.sklearn import VW, VWClassifier, VWRegressor, tovw, VWMultiClassifier, VWRegressor
label_desc: Use image node_id 5 for calling the TestVW obj's underlying member method code with example usage: obj.test_predict_no_convert() without return types