.. aepo documentation master file, created by
   sphinx-quickstart on Wed May 15 17:52:08 2024.
   You can adapt this file completely to your liking, but it should at least
   contain the root `toctree` directive.

AEPO
================================

`AEPO (Annotation Efficient Preference Optimization) <https://github.com/CyberAgentAILab/annotation-efficient-po>`_ is a Python package for preference dataset preparation.
It implements a set of functions to generate preference datasets from raw data.

.. image:: aepo.png
  :width: 600
  :alt: AEPO logo

Installation
------------
You can install AEPO from PyPI using pip.
Python 3.9 or higher is required.

.. code-block:: bash

    pip install aepo


.. toctree::
   :maxdepth: 1
   :caption: Introduction

   quickstart

.. toctree::
   :maxdepth: 1
   :caption: API Reference

   aepo

.. toctree::
   :maxdepth: 2
   :caption: Contents:


Contact
--------
For any questions, feel free to raise an issue or contact me at jinnai_yu@cyberagent.co.jp.


Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`