When you are done with the service instance, you can terminate it by clicking on *Terminate_Job_and_Service* button as shown in the image below.
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@@ -848,8 +848,6 @@ Open the `predict` operation and set the provided token, and the data that you n
image::MAS_Predict_Swagger.png[align=center]
=== Deployment Pipeline Examples
You can connect the different tasks in a single workflow to get the full pipeline from the model training step to the model deployment and consumption steps. Each task will propagate the acquired variables to its children tasks.
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@@ -1038,13 +1036,13 @@ Open the link:https://try.activeeon.com/automation-dashboard/#/portal/workflow-e
Click on the *Submit a Job* button and then search for *MaaS_DL_Service* workflow as described in the image below.
image::MAAS_DL_Search.png[align=center]
image::MaaS_DL_Search.png[align=center]
Check the service parameters and click on the *Submit* button to start a MaaS_DL service instance.
To get more information about the service parameters, please check the section <<MaaS_DL Via Service Automation Portal>>.
image::MAAS_DL_Submit.png[align=center]
image::MaaS_DL_Submit.png[align=center]
You can now monitor the service status, access its endpoint and execute its different actions:
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@@ -1053,7 +1051,7 @@ You can now monitor the service status, access its endpoint and execute its diff
- Redeploy_DL_Model : enables you to redeploy a DL model which was already redeployed.
- Undeploy_ML_Model : enables you to undeploy an already deployed model.