code: def test_pdf_mixeddata_CV_ML(self):
      # Test ML cross-validation
      dens_ml = nparam.KDEMultivariate(
          data=[self.c1, self.o, self.c2], var_type="coc", bw="cv_ml"
      )
      R_bw = [1.021563, 2.806409e-14, 0.5142077]
      npt.assert_allclose(dens_ml.bw, R_bw, atol=0.1, rtol=0.1)
  
imports: import numpy
  import numpy.testing
  import pytest
  from numpy.testing import assert_allclose, assert_equal
  import statsmodels.api
label_desc: Use image node_id 3 for calling the TestKDEMultivariate obj's underlying member method code with example usage: obj.test_pdf_mixeddata_CV_ML() without return types