class_docstr: Base class for density estimation and regression KDE classes.
class_docstr_tok: ["Base","class","for","density","estimation","and","regression","KDE","classes","."]
docstr: Helper method to be able to pass needed vars to _compute_subset.
  
  Needs to be implemented by subclasses.
docstr_tok: ["Helper","method","to","be","able","to","pass","needed","vars","to","_compute_subset",".","Needs","to","be","implemented","by","subclasses","."]
code: def _get_class_vars_type(self):
      """Helper method to be able to pass needed vars to _compute_subset.
  
      Needs to be implemented by subclasses."""
      pass
  
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 3 for calling the GenericKDE obj's underlying member method code with example usage: obj._get_class_vars_type() without return types