def _compute_covariance_(self):
    'not used'
    self.inv_cov = np.linalg.inv(self.covariance)
    self._norm_factor = (np.sqrt(np.linalg.det(((2 * np.pi) * self.covariance))) * self.n)
not used
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)