docs: def probabilities(items, params):
      """Compute the comparison outcome probabilities given a subset of items.
  
      This function computes, for each item in ``items``, the probability that it
      would win (i.e., be chosen) in a comparison involving the items, given
      model parameters.
  
      Parameters
      ----------
      items : list
          Subset of items to compare.
      params : array_like
          Model parameters.
  
      Returns
      -------
      probs : numpy.ndarray
          A probability distribution over ``items``.
      """
      params = np.asarray(params)
      return softmax(params.take(items))