scorio.rank
===========

.. automodule:: scorio.rank
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Notation
--------

All ranking methods use response tensors :math:`R \in \{0,1\}^{L \times M \times N}`,
with :math:`L` models, :math:`M` questions, and :math:`N` trials per question.
Methods compute raw scores :math:`s_l` and then convert scores to ranks with
``scorio.utils.rank_scores``.

Prior Classes
-------------

.. automodule:: scorio.rank.priors
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Evaluation-based Ranking Methods
--------------------------------

.. automodule:: scorio.rank.eval_ranking
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Pointwise Methods
-----------------

.. automodule:: scorio.rank.pointwise
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Rank Centrality Methods
-----------------------

.. automodule:: scorio.rank.rank_centrality
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HodgeRank
---------

.. automodule:: scorio.rank.hodge_rank
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Serial Rank
-----------

.. automodule:: scorio.rank.serial_rank
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Graph-based Methods
-------------------

.. automodule:: scorio.rank.graph
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Pairwise Methods
----------------

.. automodule:: scorio.rank.pairwise
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Paired-Comparison Probabilistic Models
--------------------------------------

.. automodule:: scorio.rank.bradley_terry
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Bayesian Ranking Methods
------------------------

.. automodule:: scorio.rank.bayesian
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Item Response Theory Methods
----------------------------

.. automodule:: scorio.rank.irt
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Voting Methods
--------------

.. automodule:: scorio.rank.voting
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Listwise and Setwise Choice Models
----------------------------------

.. automodule:: scorio.rank.listwise
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