class_docstr: Flat Distribution
  ----
  This class contains methods relating to the flat prior distribution for time series.
docstr: Parameters
  ----------
  transform : str
      Whether to apply a transformation - e.g. 'exp' or 'logit'
docstr_tok: ["Parameters","--","--","--","--","--","transform",":","str","Whether","to","apply","a","transformation","-","e.g",".","'exp","'","or","'logit","'"]
code: def __init__(self, transform=None, **kwargs):
      """
      Parameters
      ----------
      transform : str
          Whether to apply a transformation - e.g. 'exp' or 'logit'
      """
      super(Flat, self).__init__(transform)
      self.covariance_prior = False
  
imports: import numpy
  import scipy.stats
  import scipy.special
  from .family import Family
label_desc: Use image node_id 1 to create a new Flat object from inherited base classes: Family with example: obj = Flat(transform)