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Ugh. Yet another visual ML programming tool. They look great for demos. And are a complete disaster when you try to do real work. At any real-world level of
by oofbey 5y ago
Ugh. Yet another visual ML programming tool. They look great for demos. And are a complete disaster when you try to do real work. At any real-world level of complexity, managing boxes and arrows is totally untenable, and you need code. All the world's coding tools are great for code. Doing git diffs or code reviews on boxes and arrows just doesn't work.
This will join a crowded graveyard of visual ML tools along with the likes of ML.Net or Azure ML Studio Whatever, KNIME, CreateML, PyCaret, Teachable Machine, etc etc etc.
The pattern is very predictable. Nice demo. Excitement hits real-world problem. Complexity. Implosion.
- Jeff_Brown 5y agoIt looks like the graphical part is optional. You could just have one big node that was a Python program. Hopefully that means you could use the arrows and boxes only where they are natural. They'll at least be natural to impose at the top level of your program. They might also be useful at lower levels, if it's possible to make a functional abstraction out of a signal diagram. Diffs will still be a problem though. I wouldn't touch this stuff with a ten foot pole.
- disconcision 5y ago> you need code. there's code. did you click through?
- eyeball 5y agopycaret is not really a visual tool is it?
- whoevercares 5y agoCitizen data scientists are real in big enterprise, and now comes citizen “developers”. Low-code / no-code is big for a reason