5 ms·

Very unlikely. Incanter is basically dead, so I don't think Clojure is one of the go-to numerical computing platforms. Therefore I just don't see it getting the

by thom 9y ago

Very unlikely. Incanter is basically dead, so I don't think Clojure is one of the go-to numerical computing platforms. Therefore I just don't see it getting the mind-share required to thrive for these sorts of applications. Besides, at the technical level AI in the age of Lisp was a very different beast than AI today. If you take Eurisko to be the apex of Lisp-based AI, it benefited from code-as-data, dynamism, creating and mutating more or less human digestible heuristics on the fly. AI today is linear algebra. Clojure/Java have perfectly good linear algebra libraries but there's nothing about the language that specifically lends itself to solving these problems. I'd certainly love to see a nicely done deep learning library in Clojure using lots of macros to give a succinct, and it probably even exists, but there are no fundamental advantages over Python. I've always felt some sadness that Clojure presented an extremely sensible way of programming in a multicore world, just as distributed and GPU computing began to take over for really heavy workloads. Personally I love the immutability anyway, and there's no denying those extra cores are _there_. Anyway, I love Clojure and it'd be great not to have to use Python (and especially R), but it's just not realistic.

dragandj 9y ago
Incanter is not the only game in town, FYI.
- iak8god 9y ago
  For example? Not being snarky, just want to know what you'd recommend.
  - thom 9y ago
    Dragan has an excellent platform for Bayesian Data Analysis: https://github.com/uncomplicate/bayadera https://github.com/uncomplicate/bayadera I first learned about it while moaning about Incanter in previous Clojure threads! But I don't think it's broad enough (I realise it doesn't aim to be) to usefully capture enough mindshare that Clojure is a first-class citizen in the numerical computing space.
  - dragandj 9y ago
    There is no direct replacement, because there are different libraries tackling different aspects of what you may need: high performance computations, data munging, distribution, probability stuff, ML, deep learning etc. Most are on github, some have websites and lists/communities. Google is your friend there. Most of them are still in heavy development, but other than cutting edginess, they do their things much better than incanter would do it (but I never found Incanter useful for beyond helloworld-ish programs even in its glory days so that's not a particularly high bar).
- deleted 9y ago
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by thom 9y ago

dragandj 9y ago

Incanter is not the only game in town, FYI.

iak8god 9y ago
For example? Not being snarky, just want to know what you'd recommend.
- thom 9y ago
  Dragan has an excellent platform for Bayesian Data Analysis: https://github.com/uncomplicate/bayadera https://github.com/uncomplicate/bayadera I first learned about it while moaning about Incanter in previous Clojure threads! But I don't think it's broad enough (I realise it doesn't aim to be) to usefully capture enough mindshare that Clojure is a first-class citizen in the numerical computing space.
- dragandj 9y ago
  There is no direct replacement, because there are different libraries tackling different aspects of what you may need: high performance computations, data munging, distribution, probability stuff, ML, deep learning etc. Most are on github, some have websites and lists/communities. Google is your friend there. Most of them are still in heavy development, but other than cutting edginess, they do their things much better than incanter would do it (but I never found Incanter useful for beyond helloworld-ish programs even in its glory days so that's not a particularly high bar).
deleted 9y ago
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