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/
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< travis-ci> robertohueso/mlpack#46 (mc_kde_error_bounds - 5c3dc1a : Roberto Hueso Gomez): The build was fixed.
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< ShikharJ> sakshamB: Toshal: I just took stock of what we have done until now. I feel we're on pretty good track, given what we had originally planned.
< ShikharJ> sakshamB: Toshal: I'd like to know what you guys are working on currently, and what you plan on working on in the last leg of the program? We should start discussing the GANs we wish to implement, and who implements what?
< ShikharJ> sakshamB: If I recall right, you had mentioned Spectral Norm after Padding PR and them CGAN, right? That should wrap up all the deliverables from your side.
< ShikharJ> Toshal: I assume, after working on Inception Layer, you'd be working on either LSGAN or BiGAN? Let me know what you plan on?
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< Toshal> ShikharJ: Yes I won't mind. working on LSGANs first.
< Toshal> rcurtin: Okay I will make two constructors for reverse compatibility. Can you just help me how to mark a constructor as deprecated?
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< jenkins-mlpack2> Project docker mlpack nightly build build #394: STILL UNSTABLE in 3 hr 54 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/394/
< sakshamB> ShikharJ: yes but since Toshal is working on visitor which is required for Spectral Norm I will open a PR for CGAN first and then continue working on spectral norm.
< sakshamB> ShikharJ: Also I won’t be able to attend the meet today. Have a flight back to India.
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< Toshal> ShikharJ: I am here.
< ShikharJ> sakshamB: Okay, have a nice ride :)
< ShikharJ> Toshal: Okay, is FID work complete as well?
< Toshal> No
< Toshal> For that only inception layer is required
< Toshal> It's basic implementation is over.
< ShikharJ> Toshal: Are you stuck somewhere regarding FID?
< Toshal> Yes that Inception layer quite big frankly it may need some time.
< Toshal> If you want I can implement LSGANs
< Toshal> To stay on track.
< Toshal> It's quite easy.
< Toshal> It's testing would be only somewhat tedious.
< ShikharJ> Okay, let's do that in the meantime then. Atleast try pushing a basic structure for LSGANs and BiGANs as well if you can. Though LSGANs should be enough work for the week.
< Toshal> Okay
< Toshal> Just one thing.
< Toshal> Can you just review the label smoothing PR.
< Toshal> I will need it for LSGANs.
< ShikharJ> Toshal: Sure, I'll do that.
< Toshal> Thanks then that's it for this week.
< ShikharJ> Toshal: Are you stuck on FID because of some technical reason, or just that it is taking time to implement?
< Toshal> Yes
< Toshal> Hmm frankly speaking I am somewhat confused about how the inception model is implemented with an auxillary classifier. If you could provide some insight then it would be great help.
< Toshal> https://arxiv.org/abs/1409.4842 Here's the link to the paper.
< ShikharJ> Toshal: Okay, I'll give it a read and let you know what I find.
< ShikharJ> Toshal: Is there anything else you're stuck and I can help you with?
< Toshal> No. If I get stuck I will let you know.
< Toshal> Thanks for the help.
< ShikharJ> Toshal: You got it. I'll be off for now then, but I'll be available via IRC for most part of this week :) Have a good one.
< Toshal> Yes have a good day. Bye.
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< travis-ci> robertohueso/mlpack#47 (mc_kde_error_bounds - a8ad5fb : Roberto Hueso Gomez): The build has errored.
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