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.../content/04_appendices/appendix1/main.rst → .../content/02_appendices/appendix1/main.rst
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.. _target_appendix1: | ||
A1 - Custom Appendix | ||
A1 - Example Pool | ||
==================== | ||
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.. toctree:: | ||
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doc/rtd/content/02_appendices/appendix1/sub/03_howto.rl.rst
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.. _target_appendix1_Hyperopt: | ||
MLPro - Hyperparameter Optimization using Hyperopt | ||
================================= | ||
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The following examples demonstrate functionalities of the integration of Hyperopt into MLPro: | ||
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.. toctree:: | ||
:maxdepth: 2 | ||
:glob: | ||
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sub/* |
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doc/rtd/content/02_appendices/appendix1/sub/howto.rl.ht.001.rst
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.. _Howto RL HT 001: | ||
Howto RL-HT-001: Hyperparameter Tuning using Hyperopt | ||
===================================================== | ||
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**Prerequisites** | ||
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Please install the following packages to run this examples properly: | ||
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- `Hyperopt <https://pypi.org/project/hyperopt/>`_ | ||
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**Executable code** | ||
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.. literalinclude:: ../../../../../../../../test/howtos/rl/howto_rl_ht_001_hyperopt.py | ||
:language: python | ||
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**Results** | ||
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.. code-block:: bashh | ||
2023-02-12 16:44:58.495569 I HyperParam Tuner "Hyperopt": Instantiated | ||
2023-02-12 16:44:58.496565 I HyperParam Tuner "Hyperopt": Wrapped package hyperopt installed in version 0.2.7 | ||
2023-02-12 16:44:58.496565 I HyperParam Tuner "Hyperopt": Hyperopt configuration is successful | ||
2023-02-12 16:44:58.496565 I Training "RL": Instantiated | ||
2023-02-12 16:44:58.497574 I Training "RL": Training started (with hyperparameter tuning) | ||
2023-02-12 16:44:58.503565 I HyperParam Tuner "Hyperopt": Spaces for hyperopt is ready | ||
2023-02-12 16:44:58.503565 I HyperParam Tuner "Hyperopt": ------------------------------------------------------------------------------ | ||
2023-02-12 16:44:58.536565 | ||
I HyperParam Tuner "Hyperopt": | ||
Trial number 0 has started | ||
2023-02-12 16:44:58.537565 | ||
I HyperParam Tuner "Hyperopt": | ||
------------------------------------------------------------------------------ | ||
2023-02-12 16:45:00.336566 | ||
I HyperParam Tuner "Hyperopt": | ||
Trial number 1 has finished | ||
2023-02-12 16:45:00.337566 | ||
I HyperParam Tuner "Hyperopt": | ||
------------------------------------------------------------------------------ | ||
2023-02-12 16:45:00.353564 | ||
I HyperParam Tuner "Hyperopt": | ||
Trial number 1 has started | ||
2023-02-12 16:45:00.353564 | ||
I HyperParam Tuner "Hyperopt": | ||
------------------------------------------------------------------------------ | ||
2023-02-12 16:45:02.055567 | ||
I HyperParam Tuner "Hyperopt": | ||
Trial number 2 has finished | ||
2023-02-12 16:45:02.056566 | ||
I HyperParam Tuner "Hyperopt": | ||
------------------------------------------------------------------------------ | ||
**Cross Reference** | ||
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- :ref:`API Reference - RL Agent <target_api_rl_agents>` | ||
- :ref:`API Reference - RL Environments <target_api_rl_env>` | ||
- :ref:`API Reference - RL Scenario and Training <target_api_rl_run_train>` | ||
- :ref:`API Reference - Machine Learning <target_api_bf_ml>` |
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doc/rtd/content/02_appendices/appendix1/sub/sub/howto.rl.ht.001.rst
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.. _Howto RL HT 001: | ||
Howto RL-HT-001: Hyperparameter Tuning using Hyperopt | ||
===================================================== | ||
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**Prerequisites** | ||
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Please install the following packages to run this examples properly: | ||
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- `Hyperopt <https://pypi.org/project/hyperopt/>`_ | ||
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**Executable code** | ||
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.. literalinclude:: ../../../../../../../../test/howtos/rl/howto_rl_ht_001_hyperopt.py | ||
:language: python | ||
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**Results** | ||
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.. code-block:: bashh | ||
2023-02-12 16:44:58.495569 I HyperParam Tuner "Hyperopt": Instantiated | ||
2023-02-12 16:44:58.496565 I HyperParam Tuner "Hyperopt": Wrapped package hyperopt installed in version 0.2.7 | ||
2023-02-12 16:44:58.496565 I HyperParam Tuner "Hyperopt": Hyperopt configuration is successful | ||
2023-02-12 16:44:58.496565 I Training "RL": Instantiated | ||
2023-02-12 16:44:58.497574 I Training "RL": Training started (with hyperparameter tuning) | ||
2023-02-12 16:44:58.503565 I HyperParam Tuner "Hyperopt": Spaces for hyperopt is ready | ||
2023-02-12 16:44:58.503565 I HyperParam Tuner "Hyperopt": ------------------------------------------------------------------------------ | ||
2023-02-12 16:44:58.536565 | ||
I HyperParam Tuner "Hyperopt": | ||
Trial number 0 has started | ||
2023-02-12 16:44:58.537565 | ||
I HyperParam Tuner "Hyperopt": | ||
------------------------------------------------------------------------------ | ||
2023-02-12 16:45:00.336566 | ||
I HyperParam Tuner "Hyperopt": | ||
Trial number 1 has finished | ||
2023-02-12 16:45:00.337566 | ||
I HyperParam Tuner "Hyperopt": | ||
------------------------------------------------------------------------------ | ||
2023-02-12 16:45:00.353564 | ||
I HyperParam Tuner "Hyperopt": | ||
Trial number 1 has started | ||
2023-02-12 16:45:00.353564 | ||
I HyperParam Tuner "Hyperopt": | ||
------------------------------------------------------------------------------ | ||
2023-02-12 16:45:02.055567 | ||
I HyperParam Tuner "Hyperopt": | ||
Trial number 2 has finished | ||
2023-02-12 16:45:02.056566 | ||
I HyperParam Tuner "Hyperopt": | ||
------------------------------------------------------------------------------ | ||
**Cross Reference** | ||
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- :ref:`API Reference - RL Agent <target_api_rl_agents>` | ||
- :ref:`API Reference - RL Environments <target_api_rl_env>` | ||
- :ref:`API Reference - RL Scenario and Training <target_api_rl_run_train>` | ||
- :ref:`API Reference - Machine Learning <target_api_bf_ml>` |
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doc/rtd/content/02_custom_part/custom_section1/sub/01_overview.rst
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doc/rtd/content/04_appendices/appendix2/sub/wrappers/gymnasium.rst
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