docs: headings update (#186)

* docs: headings update

* no bold entries on home page

docs/how-to/dss.rst

@@ -7,8 +7,8 @@ This guide describes how to manage Data Science Stack (DSS).
 
 DSS is a Command Line Interface (CLI)-based environment and distributed as a `snap`_.
 
-Install DSS
------------
+Install
+--------
 
 .. note::
    To install DSS, ensure you have previously installed `Snap`_ and `MicroK8s`_.
@@ -25,8 +25,8 @@ Then, you can run the DSS CLI with:
 
     dss
 
-Start DSS
----------
+Initialise
+-----------
 
 You can initialise DSS through ``dss initialize``.
 This command:
@@ -60,8 +60,8 @@ You should expect an output like this:
       dss create my-notebook --image=pytorch
       dss create my-notebook --image=kubeflownotebookswg/jupyter-scipy:v1.8.0
 
-Remove DSS
-----------
+Remove
+-------
 
 You can remove DSS from your MicroK8s cluster through ``dss purge``. 
 This command purges all the DSS components, including:
@@ -90,8 +90,8 @@ You should expect an output like this:
     Waiting for namespace dss to be deleted...
     Success: All DSS components and notebooks purged successfully from the Kubernetes cluster.
 
-Get DSS status
---------------
+Get status
+-----------
 
 You can check the DSS status through ``dss status``. 
 This command provides a quick way to check the status of your DSS environment, including the MLflow status and whether a GPU is detected in your environment.
@@ -108,8 +108,8 @@ If you already have a DSS environment running and no GPU available, the expected
     MLflow URL: http://10.152.183.68:5000
     GPU acceleration: Disabled
 
-List DSS commands
------------------
+List commands
+--------------
 
 You can get the list of available commands for DSS through the ``dss`` command with the ``--help`` option:
 

docs/how-to/mlflow.rst

@@ -13,7 +13,7 @@ It includes tracking experiments, packaging code into reproducible runs, and sha
 Access MLflow
 -------------
 
-You can access the MLflow User Interface (UI) within your Data Science Stack (DSS) environment through a web browser, 
+You can access the MLflow User Interface (UI) within your DSS environment through a web browser, 
 by navigating to the URL associated with MLflow.
 This UI allows you to interact directly with your MLflow experiments and models. 
 
@@ -42,10 +42,10 @@ For example:
 Once you know the URL, open a web browser and enter the URL into the address bar. 
 This will direct you to the MLflow interface.
 
-Get MLflow logs
----------------
+Get logs
+---------
 
-You can retrieve logs for MLflow within your Data Science Stack (DSS) environment. 
+You can retrieve MLflow logs within your DSS environment. 
 Retrieving logs is a critical task for maintaining and troubleshooting MLflow.
 
 To get MLflow logs, use the ``dss logs`` command with the ``--mlflow`` option:
@@ -68,11 +68,11 @@ You should expect an output like this:
     [2024-04-30 07:57:54 +0000] [26] [INFO] Booting worker with pid: 26
 
 
-Get MLflow artefacts
---------------------
+Get artefacts
+--------------
 
 MLflow artefacts, including `models <https://mlflow.org/docs/latest/models.html>`_, `experiments <https://mlflow.org/docs/latest/tracking.html#experiments>`_ and `runs <https://mlflow.org/docs/latest/tracking.html#runs>`_ are stored within your DSS environment.
-They can be accessed and downloaded from the :ref:`MLflow UI <access_mlflow>`. 
+You can access and download them from the :ref:`MLflow UI <access_mlflow>`. 
 
 See also
 --------

docs/index.rst

@@ -24,17 +24,17 @@ In this documentation
 
    ..  grid-item:: :doc:`Tutorial <tutorial/index>`
 
-       **Get started** - a hands-on introduction to DSS for newcomers
+       Get started - a hands-on introduction to DSS for newcomers
 
    ..  grid-item:: :doc:`How-to guides <how-to/index>`
 
-      **Step-by-step guides** covering key operations and common tasks with DSS
+      Step-by-step guides covering key operations and common tasks with DSS
 
 .. grid:: 1 1 2 2
 
    .. grid-item:: :doc:`Explanation <explanation/index>`
 
-      **Discussion and clarification** of key topics
+      Discussion and clarification of key topics
 
 ---------
 

docs/tutorial/get-started.rst

@@ -18,8 +18,8 @@ Prerequisites
 
 .. _set_microk8s:
 
-Setting up MicroK8s
--------------------
+Set up MicroK8s
+---------------
 
 DSS relies on a container orchestration system, capable of exposing the host GPUs to the workloads. 
 `MicroK8s`_ is used as the orchestration system.