I developed a project to extract data from Invoices. I used machine learning extractor and machine learning extractor trainer. I want to train the data based on human feedback. I built a project in AI Center and create a ML Package, ML skills using Out-of-the-box > Invoices model. And then I labelled a dataset using schema. And I create a pipeline with enabling auto retraining.
Then I need to know , when human validate some data , how it trained? Can we re -trained the pre - trained model with our new data?
What happened in data labelling ,if i add a new regular field which is not in the schema ? Can I add a new regular filed?
With our new human validated data , will it retrain the full model or will it retain only the dataset we gave?
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