05:54 < Toshal> sakshamB: Can you just elaborate why you need dimension of weights? I am asking this because it would be somewhat difficult to get dimension of weights in the layers which have a network/Model() in it. This is because their non-bias wieghts would not be continous. So that's why getting it's dimension would be slightly difficult. Just let me know what you think

07:35 < jenkins-mlpack2> Project mlpack - git commit test build #202: UNSTABLE in 47 min: http://ci.mlpack.org/job/mlpack%20-%20git%20commit%20test/202/

07:51 < travis-ci> mlpack/mlpack#7572 (master - 324d196 : Shikhar Jaiswal): The build was broken.

07:51 < travis-ci> Change view : https://github.com/mlpack/mlpack/compare/092023e9ef1b...324d1964b767

07:51 < travis-ci> Build details : https://travis-ci.org/mlpack/mlpack/builds/560340423

08:03 < sakshamB> Toshal:

08:05 < sakshamB> in layers that have Model() I believe the bias weights would also not be continuous?

08:07 < jenkins-mlpack2> Project docker mlpack nightly build build #390: STILL UNSTABLE in 3 hr 53 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/390/

08:18 < Toshal> Yes you are correct. That's why I am adding a visitor for bias not for it's dimensions.

08:18 < Toshal> SakshamB: please read the above message

08:20 < sakshamB> Toshal: I am not sure if I understand. But the visitor that you are implementing would it also work for the layers that have a network/Model()?

13:02 < favre49> zoq: unfortunately, I've come down with something once again. I'll try to do as much work as I can, I should be back in full action in a couple days or so

13:06 < favre49> I think I ate something I shouldn't have :/ I think I'll still be able to finish NEAT before the second coding period ends though

13:08 < rcurtin> favre49: sorry to hear that, I hope you feel better soon :(

13:09 < zoq> favre49: No worries, hopefully, you feel better soon; the current NEAT state looks pretty good, so I don't think we have to worry about the schedule.

14:55 < Toshal> SakshamB: Yes may be I am not sure of it. But I think I can. I am not sure that my visitor would give you the dimensions.

14:57 < sakshamB> Toshal: Also I am not sure how getting the bias would help to normalize the weight without bias.

15:00 < Toshal> sakshamB: Okay fine let me just finish working on it. Then let's have a discussion regarding it's pros and cons.

15:01 < Toshal> I will open a PR soon.

15:01 < sakshamB> Toshal: maybe you’d want to have that discussion before doing the work.

15:03 < Toshal> No it's fine. Let's jusr work. If I face any difficulty then we will discuss.