code: def test_regression_labels(self):
      Nsamples = 10
      X, y = load_driftbif(Nsamples, 100, classification=False)
      self.assertEqual(
          y.size,
          np.unique(y).size,
          "For regression the target vector is expected to not contain any dublicated labels.",
      )
  
imports: import unittest
  import dask.dataframe
  import numpy
  import pandas
  from tsfresh import extract_features, extract_relevant_features
  from tsfresh.examples.driftbif_simulation import load_driftbif, sample_tau, velocity
  from tsfresh.feature_extraction import MinimalFCParameters
label_desc: Use image node_id 3 for calling the LoadDriftBifTestCase obj's underlying member method code with example usage: obj.test_regression_labels() without return types