class_docstr: Fitness for point measures
  
  Parameters
  ----------
  gamma : float
      specifies the prior on the number of bins: p ~ gamma^N
      if gamma is not specified, then a prior based on simulations
      will be used (see sec 3.3 of Scargle 2012)
class_docstr_tok: ["Fitness","for","point","measures","Parameters","--","--","--","--","--","gamma",":","float","specifies","the","prior","on","the","number","of","bins",":","p","~","gamma^N","if","gamma","is","not","specified",",","then","a","prior","based","on","simulations","will","be","used","(","see","sec","3.3","of","Scargle","2012",")"]
code: def fitness(self, a_k, b_k):
      # eq. 41 from Scargle 2012
      return (b_k * b_k) / (4 * a_k)
  
imports: import numpy
  from astroML.utils import deprecated
  from astroML.utils.exceptions import AstroMLDeprecationWarning
label_desc: Use image node_id 2 for calling the PointMeasures obj's underlying member method code with example usage: obj.fitness(a_k, b_k) and returns: unknown