code: def test_predict_proba(self, data):
      model = VWClassifier()
      model.fit(data.x, data.y)
      actual = model.predict_proba(data.x)
      assert actual.shape[0] == 100
      assert np.allclose(actual[0], [0.3997, 0.6003], 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 2 for calling the TestVWClassifier obj's underlying member method code with example usage: obj.test_predict_proba(data) without return types