What are your targets?
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Replying to @fchollet
then you ask the network given this user, what AD to show...
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Replying to @antirez
looks like it would sometimes be a classification problem and sometime a regression problem. You need support for multiple losses.
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Replying to @fchollet
in theory Redis could guess after a few tries in most cases? If the “teachers” outputs always look like all 0s but a single 1…
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Replying to @antirez
black box ML is a very difficult problem. One size fits all is impossible, you need to constrain the problem upstream.
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Things you need to take into account: 1) number of samples available 2) type of problem 3) class imbalance 4) overfitting ...etc
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here's an example of a (still very imperfect) system that attempts to do black box ML: https://github.com/rhiever/tpot
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Replying to @antirez
there is. But making it work even just a little requires *some* prior understanding of the inputs and targets. And that's difficult
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Replying to @fchollet
yep… about that, my best bet maybe is pre-cooked “profiles” that are trivial to understand / choose. I hope…
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if you need ML advice of any kind in the future, feel free to shoot me an email anytime. fchollet@ google .com
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