Im working on checks i want to know which are the best ml endpoints to use in ml extractor for checks specifically , im have used the Checks public endpoint provided by UiPath which is good but not much accurate for my data , i want to know what are some other third part ml endpoints for checks compatible with UiPath ml data extraction activity
hi @indiedev91
You can try to retrain the Checks model if you want to increase the accuracy.
As far as I know 3rd party Check ML Model, I haven’t seen any.
Happy Automation!
can you tell me how can i retrain a model??, i have slected the ml pakge for cheks in
MLPakge/DocumentUnderstanding/Checks
submit the ml pakage and named it , now it is showin me in the ml pakge list with my given name to the pakage , but how could i retrain it , i dont see any option there for provideing my own data
Hi @indiedev91
Create the ML skill in the AI center and train the documents to extract the data properly.
→ Create a dataset
→ Create a data labelling Choose document understanding and import the schema that you download.
→ Create a new ML package with the Out of the box packages.
→ Create a pipeline
→ Create one ML skill
Train the documents in the document manager by importing the documents. You can create the Custom fields in the document manager.
You can get that Created ML skill in Machine learning extractor.
Hope it helps!!
so the labeling is a strict one or just a refrence , i mean is it like the form extractor?
and schema ? how can i get the schema i dont undertand i mean do i need to provide an aditional file that contains schem for eg the lables and the column and then add the traing data ? if yes can you show me how could i create a new schema how is the format of the file and how can i make the schema in general
Hi @indiedev91
You would have to go to AI Center,
Create a Data Set, give anyname.
Create a Data Labelling Session.
Inside it click on import, import the model file attached.
model.json (3.1 KB)
IT will import the schema of checks, Add new fields if you want to.
At the top right corner you’ll see a settings icon: in prelabelling URL enter: https://du.uipath.com/ie/checks with your DU API key.
Click on Save.
Now click on import and select your documents and give a Batch Name.
Once the documents are imported, go to each document click on predict to see fields if they are correctly mapped. Correct by selecting data on the document and mark them respectively to the field.
Once you have marked the fields in the documents
Click on export button, select all, give a name for it, and click on Export to AI Center.
Run Train Pipeline: with providing details and selecting the dataset>export>the name entered in export step.> click on select.
Let the pipeline run, your ML skill should be visible to you under ML skills which you can use now, which would be more accurate then before.
This video can help you in setting up as well.
Thanks
Happy Automation!
@indiedev91 schema is the predefined one which is developed by the UiPath. You can get those schemas from the links provided by the UiPath. Find the below link where you can get download the schemas.
https://docs.uipath.com/document-understanding/standalone/2022.4/user-guide/data-manager-use-a-predefined-schema
When you open the Document manager first from Data labelling the page is empty with out fields. When you import the schema then the predefined fields are visible. If you want to add custom fields you can add there.
Hope it helps!!
thank you for the json file and the endpoint , just one more thing if you can help me with , im also working with the IdCards Endpoint or say the ml pakage , can you tell me where i can get the json file for that and the endpoint too ? or u can just tell me where are you gettng this info i will find it there , and once again thanks a lot
Hi @indiedev91
You can get the schema files from here:
https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages
and Endpoints from:
https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/public-endpoints
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