class_docstr: Base class for density estimation and regression KDE classes.
class_docstr_tok: ["Base","class","for","density","estimation","and","regression","KDE","classes","."]
code: def loo_likelihood(self):
      raise NotImplementedError
  
imports: import copy
  import numpy
  from scipy import optimize
  from scipy.stats.mstats import mquantiles
  from .None import kernels
label_desc: Use image node_id 10 for calling the GenericKDE obj's underlying member method code with example usage: obj.loo_likelihood() without return types