ChanServ changed the topic of #mlpack to: "mlpack: a fast, flexible machine learning library :: We don't always respond instantly, but we will respond; please be patient :: Logs at http://www.mlpack.org/irc/
< jenkins-mlpack2> Yippee, build fixed!
< jenkins-mlpack2> Project docker mlpack nightly build build #330: FIXED in 3 hr 55 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/330/
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< Suryo> zoq: I've been looking at the test cases for PSO (and other optimizers)
< Suryo> From the set of test cases that I mentioned in my PDF document to you earlier, 10 out of the 20 cases have not been implemented within ensmallen.
< Suryo> They are the following functions: ackley, beale, goldstein-price, levi, himmelblau, three-hump camel, cross-in-tray, holder table, schaffer n.2, schaffer n.6
< Suryo> zoq, would you want me to implement these within ensmallen first? Or would you like me to focus on my implementation of PSO right away? I had wanted to build up a large test suite before starting, but I'll do whatever you recommend.
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< zoq> Suryo: Let's implement the functions that are missing first, good to have a 'complete' test suite.
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< Suryo> zoq: thanks! I'll try to make some progress with this over the next couple of days!
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< jenkins-mlpack2> Project docker mlpack nightly build build #331: UNSTABLE in 3 hr 54 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/331/
< zoq> Suryo: Sounds good.
< ShikharJ> Toshal: Can you share your schedule for the rest of the month? Maybe we can plan accordingly?
< ShikharJ> saksham189: Toshal: Also let's have a brief chat today, and plan from then.
< ShikharJ> I'd recommend you guys to set up an IRC bouncer (I personally use HexChat + EliteBNC). You'll find tutorials to setup an IRC bouncer online, and plenty on Medium or so.
< ShikharJ> That way, the messages wouldn't be lost in case of non-reception :)
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< KimSangYeon-DGU> sumedhghaisas_: Sorry for late response, actually, I'm currently occupied with my exam... I'm trying to plot the probabilities of QGMM and GMM using matplotlib whenever I get a chance.
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< travis-ci> coatless/ensmallen#5 (fix-warnings - a13eb42 : James Balamuta): The build passed.
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< travis-ci> coatless/ensmallen#8 (code-style-warnings - 02903a5 : James Balamuta): The build has errored.
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< travis-ci> coatless/ensmallen#9 (code-style-warnings - 67fd378 : James Balamuta): The build has errored.
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< Suryo> rcurtin, zoq: I have some doubts regarding the test functions in ensmallen_bits/problems
< Suryo> 1. Some of the functions have a GetInitialPoint() method. Why is it that some functions don't have this method?
< Suryo> 2. In some of the functions, I can see a GetInitialPoint method and some have just an InitialPoint method. I understand that InitialPoint() can be used to set the initial point, but again, why isn't there an InitialPoint() method in all the test functions?
< zoq> We just missed to add one.
< Suryo> Oh okay...
< Suryo> Alright. That clears the doubts that I had. I'll begin programming the new functions. Thanks.
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< zoq> Some of the functions you see there, are implemented for specific methods in mlpack, not necessary to be used by a range or all optimizers.
< zoq> Ideally, they should provide the same function set.
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< jeffin143> Lozhnikov : so we are providing an endpoint to users , in such a way that Everytime they call dictencode function they must provide a tokenization rule* ?
< jeffin143> If that is the case , I should just scrap down the tokenizer class since it would be just handled by users.
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