- Release Notes
- Before you begin
- Getting started
- Installing AI Center
- Migration and upgrade
- Projects
- Datasets
- Data Labeling
- ML packages
- Out of the box packages
- Pipelines
- ML Skills
- About ML Skills
- Managing ML Skills
- ML Logs
- Document UnderstandingTM in AI Center
- AI Center API
- How to
- Licensing
- Basic Troubleshooting Guide
Managing ML Skills
To stop an ML Skill, use the following procedure:
- In the ML Skills page, click on the skill you want to stop.
- Click on the Stop button from the top.
The ML Skill Details page enables you to manage the package version used within the deployed skill. You can update the skill to use a specific package version, or you can perform a rollback to the previously used version.
In addition to updating a skill to a different version, a deployed skill can be kept at the same version, but modified to use a GPU or not. To do that, select Modify current deployment in the ML Skill Details page > Update skill window, as below:
Enabling GPU disables the CPU choices, from the Resources Per Replica field, and the AI Units are updated, based on your selection in the Replica Count field.
You have the possibility to make an ML Skill public. Doing so, the ML Skill will be accessible via an endpoint from outside of UiPath environment. This means that you can call it without the need to go through a robot connected to the specific tenant.
To do that, select Modify current deployment in the ML Skill Details page > Update skill window.
Note this will redeploy the ML Skill, once the ML Skill is available you will see the corresponding url in the ML Skill Details and a button will help you copying the URL. Depending of base ML Package an API Key will also be exposed to be used with this Skill in ML Skill activity.
You can download a report of ML Skill by clicking on the Download ML Skills Report button.
We recommend attaching this report when submitting an issue for faster troubleshooting.
This report gathers all the necessary information required to debug an issue, including account ID, tenant ID, AI Units, and the respective package and ML Skill information.
Check the screenshot below for an ML Skills report example.