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RTD 2.0.0 #708
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detlefarend committed Feb 21, 2025
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10 changes: 0 additions & 10 deletions doc/rtd/content/99_appendices/appendix2/sub/01_core.rst.off

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10 changes: 0 additions & 10 deletions doc/rtd/content/99_appendices/appendix2/sub/02_pool.rst.off

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.. _target_api_pool_bf:
MLPro-BF - Basic Functions
==========================
Pool objects
============

.. toctree::
:maxdepth: 3
:glob:

mlpro_bf/*
pool/*
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.. _target_api_pool_gt:
MLPro-GT - Game Theory
======================
Pool objects
============

.. toctree::
:maxdepth: 3
:glob:

mlpro_gt/*
pool/*

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.. _target_api_rl_env_ada:
RL-ENV-ADA - Environment Models
RL-ENV-ADA - Environment models
===============================

.. image:: images/01_environments/MLPro-RL-Env-Ada_class_diagram.drawio.png
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.. _target_api_rl_run_train:
RL-TRAIN - Scenarios, Training and Tuning
RL-TRAIN - Scenarios, training and tuning
=========================================

.. image:: images/03_run_and_train/MLPro-RL-Train_class_diagram.drawio.png
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.. _target_api_pool_rl:
Pool objects
============

.. toctree::
:maxdepth: 3
:glob:

pool/*

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.. _target_api_pool_sl:
Pool objects
============

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:maxdepth: 3
:glob:

pool/*

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10 changes: 0 additions & 10 deletions doc/rtd/content/99_appendices/appendix2/sub/pool/40_mlpro.rl.rst

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39 changes: 23 additions & 16 deletions doc/rtd/index.rst
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MLPro - Elevate Your Machine Learning Journey
#############################################

Welcome to MLPro - the integrative middleware framework for standardized machine learning in Python!
**Welcome to MLPro - the integrative middleware framework for standardized machine learning in Python!**

MLPro
- enables hybrid ML applications in just one framework
- provides complete process landscapes and powerful ML templates on a scientific level
- integrates a growing number of :ref:`proven ML packages <target_wrappers>`
- enables comparable and reproducible results in publications
- is open source and even commercially usable (`Apache License 2.0 <https://github.com/fhswf/MLPro/blob/main/LICENSE>`_)
.. raw:: html

<div style="max-width: 840px; text-align: justify; margin: 0;">
💡 Machine learning frameworks often focus on specific algorithms or isolated tasks, leaving you to bridge
the gaps between tools, workflows, and real-world applications. MLPro takes a different approach: Instead
of just another toolbox, it provides a structured foundation with powerful processes and reusable templates
designed to bring standardization and productivity to your ML development.<br><br>

📐 Whether you're a researcher exploring new methods, a developer building intelligent systems, or a student
discovering the world of machine learning, MLPro gives you the structure and flexibility to elevate your ML projects to the
next level.<br><br>

🔓 MLPro is fully open source and licensed under <a href="https://github.com/fhswf/MLPro?tab=Apache-2.0-1-ov-file#readme" target="_blank">Apache 2.0</a>, giving you the freedom to innovate, customize, and contribute.<br><br>

✨ Start exploring MLPro and take your machine learning journey further! <br><br>
</div>


.. |welcome| image:: content/00_start_page/images/welcome.png
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.. |mlpro_anaconda| image:: content/00_start_page/images/anaconda.png
:target: https://anaconda.org/mlpro/mlpro
:scale: 11 %
:scale: 10 %

.. |mlpro_github| image:: content/00_start_page/images/github.png
:target: https://github.com/fhswf/MLPro
:scale: 2 %

.. |mlpro_rg| image:: content/00_start_page/images/researchgate.jpeg
:target: https://www.researchgate.net/project/MLPro-A-Synoptic-Framework-for-Standardized-Machine-Learning-Tasks-in-Python
:scale: 6 %


MLPro is also present on...
🌐 MLPro is available on...

.. list-table::
:widths: 33 33 33

* - |mlpro_pypi| `Python Package Index <https://pypi.org/project/mlpro>`_
- |mlpro_anaconda| `Anaconda.org <https://anaconda.org/mlpro/mlpro>`_
- |mlpro_github| `GitHub <https://github.com/fhswf/MLPro>`_
* - |mlpro_pypi| `PyPI <https://pypi.org/project/mlpro>`_
- |mlpro_anaconda| `Anaconda <https://anaconda.org/mlpro/mlpro>`_
- |mlpro_github| `GitHub <https://github.com/fhswf/MLPro>`_



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