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 __init__(self, p0=None, gamma=None):
      self.p0 = p0
      self.gamma = gamma
  
imports: import numpy
  from astroML.utils import deprecated
  from astroML.utils.exceptions import AstroMLDeprecationWarning
label_desc: Use image node_id 1 to create a new PointMeasures object from inherited base classes: FitnessFunc with example: obj = PointMeasures(p0, gamma)