Hi,
I am writing to seek assistance regarding an issue I am experiencing with a machine learning model I trained using UiPath AI Center. Despite completing the training process, the model does not seem to extract any data from the documents as expected.
Thank You
Regards,
Mohamed Farhan
HI @MD_Farhan1 ,
May I know which machine learning model you have used and what document type you are trying to extract the data? and also have you created the pipeline successfully and able to create the ML Skill in AI Center?
I am using the Bill of Lading machine learning model and working with exit bill documents in PDF format. My pipeline was successfully created, and I have also created the ML Skill in AI Center. However, I am still not able to extract the data.
Could you please provide some guidance on what might be going wrong or how I can troubleshoot this issue?
Thank you!
When you are using the ML skill in your code, have you clicked on the get capabilities option in configure extractors step? And also if possible can you put a screenshot of your pipeline logs
Above attached my Pipeline screenshot.
pipeline_report_3772c4ea-1644-445a-af70-500ddc4cbc19.txt (11.7 KB)
Above attached my Pipeline log
How many documents you have trained in Document manager? and also have you clicked on get capabilities option in configure extractors in data extraction scope activity in UiPath Studio
I am using 10 Documents then doing predictive lables the correct some lables manually.
Thank you
Have you clicked on the Get capabilities in configure extractors option? can you please click on configure extractors and provide the ML Skill and API key details in Get capabilities and click on it
Above attached my screeshot for your referance. Now getting some value is correct but 3 to 4 field are empty.
Regards,
Mohamed Farhan
I checked the pipeline logs and understood that few fields require more samples training,
Example: Precision port_of_loading: 0.6667, Precision destination: 0.6667 these fields require more samples training, other fields extractions scores are good.
So you need to train more samples for the fields which you are not getting data