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Fix spelling error on upgrade page (#3910) 

* Fix spelling error on upgrade page

Signed-off-by: Naarcha-AWS <97990722+Naarcha-AWS@users.noreply.github.com>

* Fix links

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

* Fix links

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

* Add line to make build go again

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

---------

Signed-off-by: Naarcha-AWS <97990722+Naarcha-AWS@users.noreply.github.com>
Signed-off-by: Naarcha-AWS <naarcha@amazon.com>
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Naarcha-AWS 2023-05-02 08:50:27 -05:00 committed by GitHub
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4
_install-and-configure/upgrade-opensearch/index.md
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@ -32,7 +32,7 @@ At a minimum, you should be:
- [Reviewing the OpenSearch tools compatibility matrices](#reviewing-the-opensearch-tools-compatibility-matrices). - [Reviewing the OpenSearch tools compatibility matrices](#reviewing-the-opensearch-tools-compatibility-matrices).
- [Reviewing plugin compatibility](#reviewing-plugin-compatibility). - [Reviewing plugin compatibility](#reviewing-plugin-compatibility).
- [Backing up configuration files](#backing-up-configuration-files). - [Backing up configuration files](#backing-up-configuration-files).
- [Ceating a snapshot](#creating-a-snapshot). - [Creating a snapshot](#creating-a-snapshot).
Stop any nonessential indexing before you begin the upgrade procedure to eliminate unnecessary resource demands on the cluster while you perform the upgrade. Stop any nonessential indexing before you begin the upgrade procedure to eliminate unnecessary resource demands on the cluster while you perform the upgrade.
{: .tip} {: .tip}
@ -242,4 +242,4 @@ td {
<td>6.8</td> <td>6.8</td>
</tr> </tr>
</table> </table>
<p style="text-align:right"><sub><em>A dash (&#8212;) indicates that there is no product version containing the specified version of Apache Lucene.</em></sub></p> <p style="text-align:right"><sub><em>A dash (&#8212;) indicates that there is no product version containing the specified version of Apache Lucene.</em></sub></p>

7
_ml-commons-plugin/api.md
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@ -24,9 +24,10 @@ In order to train tasks through the API, three inputs are required.
- Model hyper parameters: Adjust these parameters to make the model train better. - Model hyper parameters: Adjust these parameters to make the model train better.
- Input data: The data input that trains the ML model, or applies the ML models to predictions. You can input data in two ways, query against your index or use data frame. - Input data: The data input that trains the ML model, or applies the ML models to predictions. You can input data in two ways, query against your index or use data frame.
## Training a model
Training can occur both synchronously and asynchronously. ## Train model
The train operation trains a model based on a selected algorithm. Training can occur both synchronously and asynchronously.
### Request ### Request
@ -414,7 +415,7 @@ The API returns the following:
} }
``` ```
## Returning model profile information ## Profile
The profile operation returns runtime information on ML tasks and models. The profile operation can help debug issues with models at runtime. The profile operation returns runtime information on ML tasks and models. The profile operation can help debug issues with models at runtime.

2
_ml-commons-plugin/model-serving-framework.md
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@ -108,7 +108,7 @@ OpenSearch responds with the `task_id` and task `status`:
} }
``` ```
To see the status of your model upload, pass the `task_id` into the [task API]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api#get-task-information). To see the status of your model upload, pass the `task_id` into the [task API]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api#getting-task-information).
## Load the model ## Load the model