code: def test_get_intercept(self, data):
      model = VW()
      model.fit(data.x, data.y)
      intercept = model.get_intercept()
      assert isinstance(intercept, float)
  
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 8 for calling the TestVW obj's underlying member method code with example usage: obj.test_get_intercept(data) without return types