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< swaingotnochill4> zoq can you give a short example on how to use that script to call matplotlib python visualizations into the c++ notebook?
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< jonpsy[m]> zoq: say4n jjb Could you guys confirm 5:00 UTC, usual spot? I have some interesting results :D
< zoq> jonpsy[m]: I have the meeting for UTC-9, at least that is what James send out, which sounds about right, because I have another meeting at 5 UTC.
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< shrit[m]> heisenbuug (Gopi M Tatiraju): Let me know if you are available at 16:00 UTC so we can have our meeting?
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< jonpsy[m]> > jonpsy: I have the meeting for UTC-9, at least that is what James send out, which sounds about right, because I have another meeting at 5 UTC.
< jonpsy[m]> mb, I should've confirmed it. 9UTC converts to 2:30 AM here...anyway, I'll make it. See you there
< zoq> jonpsy[m] That is late, I could do half an hour earlier, but we should see if we can find another slot for the next meeting.
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< jonpsy[m]> zoq:
< jonpsy[m]> * If we could do 7UTC that'd be great.
< jonpsy[m]> * If we could do 7UTC that'd be great. jjb say4n zoq are you guys free at that time today?
< swaingotnochill4> <swaingotnochill4 "zoq can you give a short example"> zoq when you have free time, help me out here plz..
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< jonpsy[m]> swaingotnochill: I might be able to lend a hand here, are you trying to create a util c++ script to call Python functions on backend?
< DavidportlouisDa> I'm trying to do the same any suggestions / examples would be helpful
< jonpsy[m]> Okay so,
< jonpsy[m]> you start with creating a ```.hpp``` file inside utils folder
< jonpsy[m]> and you create a ```.py``` file with the same name.
< jonpsy[m]> basically you call Python C API from your ```.hpp``` file. The code for calling the PyInterpreter in ```.hpp``` is same in all the files in ```utils``` folder. Have a read and you'll figure it out
< DavidportlouisDa> ok i'll try it, thanks
< jonpsy[m]> You can see this [PR](https://github.com/mlpack/examples/pull/152) for how I used pandas API
< zoq> jonpsy[m]: I would be free right now.
< jonpsy[m]> allright!
< zoq> jonpsy[m]: Not sure, if you like we can do it now, and update the other ones over mail?
< jonpsy[m]> yeah that's the problem ... ;(
< jonpsy[m]> > jonpsy: Not sure, if you like we can do it now, and update the other ones over mail?
< jonpsy[m]> I'm all in, but who knows if they get time to read the mail
< zoq> I mean, we can summarize the call from today and send that out?
< zoq> So you don't have to stay up super late.
< jonpsy[m]> Yeah works
< jonpsy[m]> Let me write an email for that
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< jonpsy[m]> zoq: Im inside
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< DavidportlouisDa> @freenode_zoq:matrix.org any suggestions / examples on handling datetime and categorical data
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< zoq> DavidportlouisDa: Just some additions, so the basic idea is to use python to generate the plot, save that one as image and display that image in the C++ notebook.
< zoq> So you can basically, take the python code you have put it into a python script and save the plot as png at the end.
< zoq> The 3D plot you see in the contact tracing using dbscan example is one example.
< zoq> is the python script which saves the plot as an png at the end.
< zoq> THe only thing we have to handle is to provide some interface so we can call the Python script from within C++
< zoq> For that one we use the Python C API, for that one you bascially just write a simple function that takes all the parameters you need to generate the plot and pass that to the python script.
< zoq> is a simple example
< zoq> DavidportlouisDa: For the Datetime I would just convert it to second since 1970 - https://en.cppreference.com/w/cpp/chrono/c/time
< zoq> About the categorical data part, about what data are we talking, that isn't covered by the exsisting data::Load interface
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< jonpsy[m]> zoq: Reg the mathematical proof
< DavidportlouisDa> i'll look into it
< zoq> jonpsy[m]: Nice, thanks!
< zoq> DavidportlouisDa: Sure, let me know if there is anything I can clarify.
< jonpsy[m]> I'll include it into the doc so others can have a look
< jonpsy[m]> or maybe in the PR for policy based MOEAD itself, I guess that'll b better
< zoq> jonpsy[m]: Yeah, you can always take a look at the PR to get some more infos.
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< jonpsy[m]> zoq: So, I had a little read of Ries-Z Energy.
< zoq> jonpsy[m]: I was also glancing over https://arxiv.org/abs/math-ph/0311024
< jonpsy[m]> the basic idea is, since physical bodies stabilzie to minimum potential energy (P.E.) naturally
< jonpsy[m]> they're trying similar, they defne P.E. as inverse of distance b/w 2 reference direction
< jonpsy[m]> then use gradient descent to minimize the distance, finally project it to unit simplex
< jonpsy[m]> ......kinda "heavy", but weights are inited only once...so thats that.
< zoq> Right, the "Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization" paper has a simple overview about the steps involved.
< zoq> Also, the results are quite nice.
< jonpsy[m]> indeed
< jonpsy[m]> Have a look at [this](http://blog.geomblog.org/2005/10/sampling-from-simplex.html) blog as well. They've mentioned numerous methods for our cause.
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< zoq> Thanks for the link to the blog post, I guess Dirichlet first, but reading the paper I mentioned above, Ries-Z would be great to have.
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< jonpsy[m]> I'm adding the plots for the simplex for all the weight inits, in my diary then for 300 population. Have a look later?
< jonpsy[m]> * I'm adding the plots for the simplex for all the weight inits, in my diary then for 300 points. Have a look later?
< zoq> jonpsy[m]: Sure, once you open the policy PR, I think it makes sense to include the plots there as well.
< jonpsy[m]> hmm, makes sense.
< zoq> Since not everyone might look at the gdoc.
< jonpsy[m]> > Thanks for the link to the blog post, I guess Dirichlet first, but reading the paper I mentioned above, Ries-Z would be great to have.
< jonpsy[m]> have a look at pymoo code, its not very inviting :D
< jonpsy[m]> its late here, catch you later then.
< zoq> Hm, the steps from the paper are somewhat easy, but on the other side they left some things for simplicity.
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