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Copyright 2017-2022 - Swiss Data Science Center (SDSC) | ||
A partnership between École Polytechnique Fédérale de Lausanne (EPFL) and | ||
Eidgenössische Technische Hochschule Zürich (ETHZ). | ||
Licensed under the Apache License, Version 2.0 (the "License"); | ||
you may not use this file except in compliance with the License. | ||
You may obtain a copy of the License at | ||
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http://www.apache.org/licenses/LICENSE-2.0 | ||
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Unless required by applicable law or agreed to in writing, software | ||
distributed under the License is distributed on an "AS IS" BASIS, | ||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. | ||
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Renku CLI Plugins | ||
================= | ||
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renku-mls | ||
--------- | ||
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`renku-mls <https://pypi.org/project/renku-mls/>`_ is a plugin for machine | ||
learning models. Using Renku MLS one can expose the machine learning models | ||
used in Renku projects (e.g. hyper-parameters and evaluation metrics). | ||
It currently supports tracking metadata for ``scikit-learn``, ``keras`` and | ||
``xgboost``. It adds custom metadata to the metadata tracked in renku workflows | ||
about models used, hyper-parameters and metrics and adds a ``renku mls leaderboard`` | ||
command to the renku CLI that allows comparing different executions of your | ||
data science pipeline. | ||
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`Documentation <https://github.com/ratschlab/renku-mls/blob/master/docs/gettingstarted.rst>`_ | ||
`Example Project <https://renkulab.io/projects/learn-renku/plugins/renku-mls-plugin>`_ | ||
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Developing a plugin? | ||
-------------------- | ||
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For more information on developing a plugin, please refer to :ref:`develop-plugins-reference`. | ||
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If you are working on a Renku plugin and would like to have it listed here, | ||
please create a pull request modifying this document in the | ||
`renku-python repository <https://github.com/SwissDataScienceCenter/renku-python>`_. |
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