class_docstr: Inverse Wishart Distribution
  ----
  This class contains methods relating to the inverse wishart distribution for time series.
class_docstr_tok: ["Inverse","Wishart","Distribution","--","--","This","class","contains","methods","relating","to","the","inverse","wishart","distribution","for","time","series","."]
docstr: PDF for Inverse Wishart prior
  
  Parameters
  ----------
  x : float
      Covariance matrix for which the prior is being formed over
  
  Returns
  ----------
  - p(x)
docstr_tok: ["PDF","for","Inverse","Wishart","prior","Parameters","--","--","--","--","--","x",":","float","Covariance","matrix","for","which","the","prior","is","being","formed","over","Returns","--","--","--","--","--","-","p","(","x",")"]
code: def pdf(self, X):
      """
      PDF for Inverse Wishart prior
  
      Parameters
      ----------
      x : float
          Covariance matrix for which the prior is being formed over
  
      Returns
      ----------
      - p(x)
      """
      return invwishart.pdf(X, df=self.v, scale=self.Psi)
  
file_path: pyflux/pyflux/families/inverse_wishart.py
imports: import numpy
  import scipy.stats
  import scipy.special
  from ..None import inference
  from .family import Family
  from scipy.stats import invwishart
label_desc: Use image node_id 3 for calling the InverseWishart obj's underlying member method code with example usage: obj.pdf(X) and returns: invwishart