A very useful tidbit of information that @tremblap shared with me today is that the amount of dimensions can’t be smaller than the amount of points in your fluid.dataset~.
So in my case, I have 10 points, so anything above that will give be garbage (which is where the actual “bug” happens, in that I shouldn’t be able to transformpoint at all given those restrictions, and as a result am getting garbage values back).
I’ll create a new training set with more points and get back to testing and report back my findings in the relevant thread.