- Release Notes
- Requirements
- Installation
- Getting Started
- Projects
- Datasets
- ML Packages
- Pipelines
- ML Skills
- About ML Skills
- Managing ML Skills
- ML Logs
- Document Understanding in AI Fabric
- Basic Troubleshooting Guide
Managing ML Skills
The model is wrapped in UiPath's serving framework and deployed within a namespace on AI Fabric's Kubernetes cluster that is only accessible by your tenant.
If the deployment is successful, the status of the skill changes from Deploying to Available.
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 or not use a GPU. To do that, select Modify current deployment in the ML Skill Details page > Update skill window, as below:
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, as below. 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.