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docs: tweaks to navigation headings
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afgambin authored Sep 10, 2024
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32 changes: 14 additions & 18 deletions docs/index.rst
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.. _home:

Charmed MLflow Documentation
Charmed MLflow documentation
============================

Charmed MLflow is a platform for managing the end-to-end machine learning lifecycle.
Charmed MLflow is a platform for managing the end-to-end Machine Learning (ML) lifecycle.

It provides tools for tracking experiments, packaging code into reproducible runs, and sharing and deploying models. It integrates with popular machine learning frameworks.
It provides tools for tracking experiments, packaging code into reproducible runs, and sharing and deploying models.
It integrates with popular ML frameworks.

It addresses a number of common machine learning challenges: collaboration, reproducibility, maintenance, organisation and scaling.
It also addresses a number of common ML challenges including collaboration, reproducibility, maintenance, organisation and scaling.

It's ideal for data scientists, ML engineers, hobbyists and teams looking to optimise their ML workflows with charms.
It is intended for data scientists and ML engineers, looking to optimise their ML workflows with charms.

---------

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**Step-by-step guides** covering key operations and common tasks in Charmed MLflow

.. grid:: 1 1 2 2
:reverse:

.. grid-item:: :doc:`Reference <reference/index>`

**Technical information** - specifications, APIs, architecture of Charmed MLflow

.. grid-item:: :doc:`Explanation <explanation/index>`

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Charmed MLflow is an open-source project that values its community. We warmly welcome contributions, suggestions, fixes, and constructive feedback from everyone.

* `Code of conduct`_
* `Contribute`_
* `Join our online chat`_
* `Upstream Project`_
* `Discourse Forum`_
* Read our `Code of conduct`_.
* `Contribute`_ and `report bugs <https://github.com/canonical/mlflow-operator/issues/new/choose>`_.
* Join the `Discourse forum`_.
* `Talk to us`_.
* Learn more about the `upstream project`_.

.. toctree::
:hidden:
:maxdepth: 2

Home <self>
tutorial/index
how-to/index
reference/index
How to <how-to/index>
explanation/index
contributing
Contribute <contributing>
4 changes: 0 additions & 4 deletions docs/reference/index.rst

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8 changes: 4 additions & 4 deletions docs/reuse/links.txt
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.. _Example product documentation: https://canonical-example-product-documentation.readthedocs-hosted.com/

.. _Code of conduct: https://ubuntu.com/community/ethos/code-of-conduct
.. _Join our online chat: https://chat.charmhub.io/charmhub/channels/charmed-mlops
.. _Talk to us: https://chat.charmhub.io/charmhub/channels/charmed-mlops
.. _Contribute: https://github.com/canonical/mlflow-operator/blob/main/CONTRIBUTING.md
.. _Upstream Project: https://mlflow.org/
.. _Discourse Forum: https://discourse.charmhub.io/tag/mlflow
.. _Upstream project: https://mlflow.org/
.. _Discourse forum: https://discourse.charmhub.io/tag/mlflow
.. _rclone: https://snapcraft.io/rclone
.. _configured: https://rclone.org/s3/#configuration
.. _yq binary: https://snapcraft.io/yq
.. _Create a backup: https://charmhub.io/mysql-k8s/docs/h-create-and-list-backups
.. _Create a backup: https://charmhub.io/mysql-k8s/docs/h-create-backup

.. _MicroK8s: https://microk8s.io/

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Getting Started with Charmed MLflow and Kubeflow
================================================
Get started with Charmed MLflow and Kubeflow
============================================

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2 changes: 1 addition & 1 deletion docs/tutorial/mlflow.rst
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Get Started with Charmed MLflow
Get started with Charmed MLflow
==================================

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