I have a pre-trained ML model. I want to bring the same into my perspective project and do my predictions on a dataset that is generated live from the machine from a bunch of tags (either in the form of a dataset tag or a pydataset). Then I want to invoke my model on certain tag triggers on that dataset and use the inference from my model to write to certain tags. How do I achieve this? I have explored the forum and also the ML Manager from Ignition Exchange. ML manager has its own algorithms where we can train and store the model. But that does not quite fit my use-case.
Any help will be much appreciated. Thanks in advance!