I have committed into pdf automation projects. I want some clarity about the AI Center Process.
If possible share the link for step by step procedure to built the automation
Totally I have 50 pdf files, First labelled the twenty documents that time I create the Datasets, train Pipelines, and ML Skills. At the same projects, I have added the another 30 documents and imported, Create the new train pipeline and ML Packages but not create a ML Skills due to enable the auto update options.
If I tried the full pipeline, It shows the error logs as ML Package Issue and failed the full pipeline but the train pipeline was successful.
I need help for successfully complete the full pipeline. Kindly guide me. How to resolve the conflict.
No, I have used the same dataset for Train path and evaluation path. guide me what should I mentioned in the train dataset and what should I mentioned in the evaluation dataset
Attached the screenshot of error logs, while using the full pipeline.
Create one more dataset similar to train dataset and you will have a check box for selecting evaluation dataset in it…upload all or few documents in it and use that as evaluation dataset when running full pipeline
From this reply, I shared my understanding. kindly correct if it was anything wrong.
In dataset option, need to create the another dataset like Datasets–> create new → New dataset creation–>upload files(some raw pdf documents must be uploaded here).
I have shared the screenshots for full pipeline creation as well as evaluation dataset upload files details. Could you please verify and correct the flows and could you please guide me how I select the check box in a dataset using the screenshot