class_docstr: Univariate density estimation by orthonormal series expansion
  
  
  Uses an orthonormal polynomial basis to approximate a univariate density.
  
  
  currently all arguments can be given to fit, I might change it to requiring
  arguments in __init__ instead.
class_docstr_tok: ["Univariate","density","estimation","by","orthonormal","series","expansion","Uses","an","orthonormal","polynomial","basis","to","approximate","a","univariate","density",".","currently","all","arguments","can","be","given","to","fit",",","I","might","change","it","to","requiring","arguments","in","__init__","instead","."]
docstr: alias for evaluate, except no order argument
docstr_tok: ["alias","for","evaluate",",","except","no","order","argument"]
code: def __call__(self, xeval):
      """alias for evaluate, except no order argument"""
      return self.evaluate(xeval)
  
imports: from scipy import stats, integrate, special
  import numpy
label_desc: Use image node_id 4 for calling the DensityOrthoPoly obj's underlying member method code with example usage: obj.__call__(xeval) and returns: self