I’m a total noob about the inner workings of the cloud compute platforms. I’m just beginning to read articles on this. I’m curious if the case below is possible.
I have workflows that implement a typical ML pipeline: Load-and-prep data, train-test split, train model, test model, etc.
It’s a mixture of built-in KNIME nodes and Python/R integration nodes (learners, predictors, views, etc.)
Would it be possible for the Python/R integration nodes be executed in the Google Cloud Platform? And the results of those nodes returned to the workflow to continue?
(Hopefully the workarounds to make this work, be not that complex that I have to redo my workflows all over again) (>___<)