code: def test_ModelHuber_threshold(self):
      np.random.seed(12)
      n_samples, n_features = 5000, 10
      w0 = np.random.randn(n_features)
      c0 = np.random.randn()
      # First check with intercept
      X, y = SimuLinReg(
          w0, c0, n_samples=n_samples, verbose=False
      ).simulate()
  
      model = ModelHuber(threshold=1.541).fit(X, y)
      self.assertEqual(model._model.get_threshold(), 1.541)
      model.threshold = 3.14
      self.assertEqual(model._model.get_threshold(), 3.14)
  
      msg = "^threshold must be > 0$"
      with self.assertRaisesRegex(RuntimeError, msg):
          model = ModelHuber(threshold=-1).fit(X, y)
      with self.assertRaisesRegex(RuntimeError, msg):
          model.threshold = 0.0
  
file_path: tick/tick/robust/tests/model_huber_test.py
imports: import unittest
  import numpy
  from scipy.sparse import csr_matrix
  from tick.robust import ModelHuber
  from tick.base_model.tests.generalized_linear_model import TestGLM
  from tick.linear_model import SimuLinReg
label_desc: Use image node_id 2 for calling the Test obj's underlying member method code with example usage: obj.test_ModelHuber_threshold() without return types