I have the below Process Scenario. I have trained many documents in
AI Center Using the document understanding Model, which is working fine.
I need someone’s help proving the logic of the below scenario.
I have to move documents to
Action Center, which fails to extract data or has low accuracy.
Action Center, I need to recapture again the fields like How we do it in Data Manager in AI Center
Later, If I run a manual pipeline or an Automated pipeline, It needs to update my ML skill whatever the documents I trained in Action Center.
Any Solution here on this Logic?
I really appreciate any help you can provide.
Have you Checked the below post :
The wait is over! The ability to automatically retrain ML models with data from Validation Station in an RPA workflow is finally here!
However, let us first make sure we understand what this feature is, and what it is not. There are two major phases in the lifecycle of any Machine Learning model: build phase, and maintenance phase.
In the build phase you use Data Manager to prepare the training dataset and the evaluation dataset and try to get the best performance poss…
After the Data Extraction, we could Check the Confidence of each field and determine whether we need to route it to Validation Station/Action Center or directly Export the data.
The Activity to be used for this is
Create Document Validation Action
Thanks Superman. Let me check!
@SrenivasanKanna Have you checked the Document Understanding Process Template? It’s built by UiPath and has all the logic you have there already built in. You only need to add a little bit of custom code on the validation logic and change/tweak the extractors and potential classifiers to your specific needs.