Inputpointbuffer and predictionbuffer not working?

Don’t know if these are there as placeholders for now, in which case, feel free to ignore this thread.

But if I send either the inputpointbuffer or predictionbuffer to fluid.standardize~ I get back either a fluid.standardize~: DataSet does not exist or a fluid.standardize~: No buffer passed depending on whether I send a fittransform or transformpoint message.

The help and reference are pretty sparse on on info:
Screenshot 2020-07-24 at 10.30.55 pm

But given the name, I’m assuming that these @attributes are for the transformpoint message (rather than vanilla fit and fittransform).

This is obviously super useful.

What would also be great (which I imagine is also in the pipeline) is having inputpointdataset and predctiondataset or whatever the corresponding messages would be so you can use the same functionality but when doing whole fluid.dataset~s’ worth of stuff.


----------begin_max5_patcher----------
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-----------end_max5_patcher-----------

Ignore these for now in Max: they’re there to support the RT querying in SC that isn’t a thing in Max yet.

This won’t happen, unless we revist the overall design, because it won’t be practical to do a batch query on a real-time basis.

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