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docs/posts/configuration.rst

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We developed `ApproxBias <https://github.com/eustomaqua/ApproxBias>`_, `FairML <https://github.com/eustomaqua/FairML>`_, and `PyFairness <https://github.com/eustomaqua/PyFairness>`_ with ``Python 3.8`` and released the code to help you reproduce our work. Note that the experimental parts must be run on the ``Ubuntu`` operating system due to FairGBM (one baseline method that we used for comparison).
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We developed `ApproxBias <https://github.com/eustomaqua/ApproxBias>`_, `FairML <https://github.com/eustomaqua/FairML>`_, `PyFairness <https://github.com/eustomaqua/PyFairness>`_, and `AssessBias <https://github.com/eustomaqua/AssessBias>`_ with ``Python 3.8`` and released the code to help you reproduce our work. Note that the experimental parts must be run on the ``Ubuntu`` operating system due to FairGBM (one baseline method that we used for comparison).
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Initialization
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.. code-block:: console
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$ exit
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$
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$ docker ps -a # docker container ps|list
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$ docker rm <container-id>
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$ docker image rm <image-name> # docker rmi <image-id>

requirements.txt

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openpyxl==3.1.5
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lightgbm==4.6.0
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fairgbm==0.9.14
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torch==2.3.1
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torch==2.4.1
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carbontracker==2.3.1

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