class_docstr: Inverse Gamma Distribution
  ----
  This class contains methods relating to the inverse gamma distribution for time series.
docstr: Parameters
  ----------
  alpha : float
      Alpha parameter for the Inverse Gamma distribution
  
  beta : float
      Beta parameter for the Inverse Gamma distribution
  
  transform : str
      Whether to apply a transformation - e.g. 'exp' or 'logit'
code: def __init__(self, alpha, beta, transform=None, **kwargs):
      """
      Parameters
      ----------
      alpha : float
          Alpha parameter for the Inverse Gamma distribution
  
      beta : float
          Beta parameter for the Inverse Gamma distribution
  
      transform : str
          Whether to apply a transformation - e.g. 'exp' or 'logit'
      """
      super(InverseGamma, self).__init__(transform)
      self.covariance_prior = False
      self.alpha = alpha
      self.beta = beta
  
file_path: pyflux/pyflux/families/inverse_gamma.py
imports: import numpy
  import scipy.stats
  import scipy.special
  from .family import Family
label_desc: Use image node_id 1 to create a new InverseGamma object from inherited base classes: Family with example: obj = InverseGamma(alpha, beta, transform)