class_docstr: from Anne Archibald in mailinglist:
  http://www.nabble.com/Width-of-the-gaussian-in-stats.kde.gaussian_kde---td19558924.html#a19558924
class_docstr_tok: ["from","Anne","Archibald","in","mailinglist",":","http",":","\/\/www.nabble.com\/Width-of-the-gaussian-in-stats.kde.gaussian_kde","--","-td19558924.html","#","a19558924"]
code: def _compute_covariance(self):
      self.inv_cov = np.linalg.inv(self.covariance)
      self._norm_factor = (
          np.sqrt(np.linalg.det(2 * np.pi * self.covariance)) * self.n
      )
  
file_path: statsmodels/statsmodels/sandbox/nonparametric/kdecovclass.py
imports: import numpy
  from numpy.testing import assert_almost_equal, assert_
  import scipy
  from scipy import stats
  import matplotlib.pylab
label_desc: Use image node_id 2 for calling the gaussian_kde_set_covariance obj's underlying member method code with example usage: obj._compute_covariance() without return types