code: def load_hdf(cls, filename, path='', name=None):
          
          store = pd.HDFStore(filename)
          try:
              samples = store['{}/samples'.format(path)]
              attrs = store.get_storer('{}/samples'.format(path)).attrs        
          except:
              store.close()
              raise
          properties = attrs.properties
          maxAV = attrs.maxAV
          max_distance = attrs.max_distance
          min_logg = attrs.min_logg
          ic_type = attrs.ic_type
          use_emcee = attrs.use_emcee
          basename = attrs._mnest_basename
          
          if name is None:
              try:
                  name = attrs.name
              except:
                  name = ''
  
          store.close()
  
          #ic = ic_type() don't need to initialize anymore
  
          mod = cls(ic_type, maxAV=maxAV, max_distance=max_distance,
                    use_emcee=use_emcee, name=name,
                    **properties)
          mod._samples = samples
          mod._mnest_basename = basename
          return mod
docs: A class method to load a saved StarModel from an HDF5 file.
  
          File must have been created by a call to :func:`StarModel.save_hdf`.
  
          :param filename:
              H5 file to load.
  
          :param path: (optional)
              Path within HDF file.
  
          :return:
              :class:`StarModel` object.