Add ML Dashboards page (#2987)

* Add ML Dashboards page

Signed-off-by: Naarcha-AWS <naarcha@amazon.com>

* Add experimental ML Dashboard for 2.6

Signed-off-by: Naarcha-AWS <naarcha@amazon.com>

* Slight adjustment to picture order

Signed-off-by: Naarcha-AWS <naarcha@amazon.com>

* Add instructions to enable ML commons

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* Small tweak

Signed-off-by: Naarcha-AWS <naarcha@amazon.com>

* Update _ml-commons-plugin/ml-dashboard.md

Co-authored-by: Caroline <113052567+carolxob@users.noreply.github.com>

* Add feedback

Signed-off-by: Naarcha-AWS <naarcha@amazon.com>

* Add additonal feedback

Signed-off-by: Naarcha-AWS <naarcha@amazon.com>

* Update _ml-commons-plugin/ml-dashboard.md

Co-authored-by: Nathan Bower <nbower@amazon.com>

* Send fix through

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* Add editorial feedback

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---------

Signed-off-by: Naarcha-AWS <naarcha@amazon.com>
Co-authored-by: Caroline <113052567+carolxob@users.noreply.github.com>
Co-authored-by: Nathan Bower <nbower@amazon.com>

_ml-commons-plugin/cluster-settings.md

@@ -2,7 +2,7 @@
 layout: default
 title: ML Commons cluster settings
 has_children: false
-nav_order: 10
+nav_order: 160
 ---
 
 # ML Commons cluster settings

_ml-commons-plugin/ml-dashboard.md

@@ -0,0 +1,67 @@
+---
+layout: default
+title: Managing ML models in OpenSearch Dashboards
+nav_order: 120
+---
+
+Released in OpenSearch 2.6, the machine learning (ML) functionality in OpenSearch Dashboards is experimental and can't be used in a production environment. For updates or to leave feedback, see the [OpenSearch Forum discussion](https://forum.opensearch.org/t/feedback-ml-commons-ml-model-health-dashboard-for-admins-experimental-release/12494).
+{: .warning }
+
+Administrators of machine learning (ML) clusters can use OpenSearch Dashboards to manage and check the status of ML models running inside a cluster. This can help ML developers provision nodes to ensure their models run efficiently.
+
+As of OpenSearch 2.6, you can only upload models using the API. For more information about how to upload a model to your cluster, see [Upload model to OpenSearch]({{site.url}}{{site.baseurl}}/ml-commons-plugin/model-serving-framework#upload-model-to-opensearch).
+
+## Enabling ML in Dashboards
+
+In OpenSearch 2.6, ML functionality is disabled by default. To enable it, you need to edit the configuration in `opensearch_dashboards.yml` and then restart your cluster.
+
+To enable the feature:
+
+1. In your OpenSearch cluster, navigate to your Dashboards home directory; for example, in Docker, `/usr/share/opensearch-dashboards`.
+2. Open your local copy of the Dashboards configuration file `opensearch_dashboards.yml`. If you don't have a copy, get one from GitHub: [`opensearch_dashboards.yml`](https://github.com/opensearch-project/OpenSearch-Dashboards/blob/main/config/opensearch_dashboards.yml).
+3. Add the setting `ml_commons_dashboards.enabled:`  to `opensearch_dashboards.yml`. Then, set it to  `ml_commons_dashboards.enabled: true` and save the configuration file.
+4. Restart the Dashboards container.
+5. Verify that the feature configuration settings were created and configured properly by launching OpenSearch Dashboards. The Machine Learning section should appear under **OpenSearch plugins**.
+
+## Accessing ML functionality in Dashboards
+
+To access ML functionality in OpenSearch Dashboards,select **OpenSearch plugins** > **Machine Learning**. 
+
+<img src="{{site.url}}{{site.baseurl}}/images/ml/ml-dashboard/ml-dashboard.png" alt="Machine Learning section in OpenSearch dashboards">
+
+In the Machine Learning section, you now have access to the **Deployed models** dashboard.
+
+## Deployed models dashboard
+
+The deployed models dashboard gives admins the ability to check the status of any models stored inside your OpenSearch cluster. 
+
+<img src="{{site.url}}{{site.baseurl}}/images/ml/ml-dashboard/deployed-models.png" alt="The deployed models view.">
+
+The dashboard includes the following information about the model:
+
+- **Name**: The name of the model given upon upload.
+- **Status**: The number of nodes for which the model responds. 
+   - When all nodes are responsive, the status is **Green**.
+   - When some nodes are responsive,the status is **Yellow**.
+   - When all nodes are unresponsive,the  status is **Red**.
+- **Model ID**: The model ID.
+- **Action**: What actions you can take with the model.
+
+As of OpenSearch 2.6, the only action available is **View Status Details**, shown in the following image. 
+
+<img src="{{site.url}}{{site.baseurl}}/images/ml/ml-dashboard/view-status-details.png" alt="You can view status details under actions.">
+
+When selected, the Status Details panel appears.
+
+The panel provides the following details inside the panel:
+
+- **Model ID**
+- **Model status by node**: The number of nodes for which the model is responsive.
+
+A list of nodes gives you a view of each node the model is running on, including each node’s **Node ID** and status, as shown in the following image. This is useful if you want to use the node's **Node ID** to determine why a node is unresponsive.
+
+<img src="{{site.url}}{{site.baseurl}}/images/ml/ml-dashboard/model-node-details.png" alt="The status of each node running the model.">
+
+## Next steps
+
+For more information about how to manage ML models in OpenSearch, see [Model-serving framework]({{site.url}}{{site.baseurl}}/ml-commons-plugin/model-serving-framework/).