Hi, Fernando, Sorry for the late reply. In the past days, I just dived into mxboard and prepared some materials to answer your questions. Unfortunately, I find that my proposal is rejected. So sad. Although the result is not what I expected, I sincerely hope that the ideas in my initial proposal is helpful for Shogun. (PS: There maybe several little problems in the idea that writing a standlone logger in C++. We may discuss it in the future)
Many thanks for your help. I look forward to working with you in the future. Best, Albert Sun 2018年4月20日星期五，Fernando J. Iglesias García <fernando.iglesi...@gmail.com> 写道： > Hi Albert, > > Thanks a lot for your e-mail. Your interest is very much appreciated. > > I think your idea is reasonable and makes sense. One of Shogun's children > projects, Tapkee, is in fact built in that way: it is a standalone > header-only library, and additionally it is included in Shogun. I am > guessing this could be the reason why tflogger is a separate repo as well. > > It would be a good idea to include Giovanni and Viktor in this > conversation. In fact, it is preferable to keep this type of discussion in > the open in the mailing list. You can of course add anybody in the senders > list directly, when you consider it appropriate. All in all, the > shogun-list should be in the CC list at least. > > A couple of follow-up questions. > - What would you like to refactor in tflogger? > - What do you find problematic in the proposal? > > Of course, feel free to open an issue and document your initiative. > > Cheers, > Fernando. > > On 19 April 2018 at 15:45, Jinquan Sun <jasonjinq...@gmail.com> wrote: > >> Hi all: >> I am Albert Sun (github url: https://github.com/sunalbert). I have >> applied the GSoC2018 project about "Inside the black box" in Shogun. >> Recently, I investigate the feasible ways to refine the TensorBoard >> integration. The following two projects may provide some ideas for us: >> 1. dmlc/tensorboard <https://github.com/dmlc/tensorboard> >> 2. awslabs/mxboard <https://github.com/awslabs/mxboard> >> Both two project aims to deliver a visualization solution for MXNet >> users. Compared to dmlc/tensorboard <https://github.com/dmlc/tensorboard>, >> the awslabs/mxboard <https://github.com/awslabs/mxboard> can support >> text, audio ,curve, embedding visualization. In my initial proposal, I >> proposed to integrate the TensorBoard APIs into a higher wrapper level. >> Thanks to the above projects, now I think we can rewrite the log toolkit in >> C++ , which can handle various data types. Besides, we can enable it >> support multiple languages with the help of SWIG. The most ideal result is >> that the toolkit does not depend on Shogun, thus we can provide the toolkit >> for various machine/deep learning toolkit. This will be very cool. As a >> start, I'd like to refactor the shogun-toolbox/tflogger >> <https://github.com/shogun-toolbox/tflogger>. >> This proposal is rough and even problematic. I look forward to your >> suggestions. If you think the proposal is feasible, I'd like to open a new >> issue in github to list the details of it. >> >> Best, >> Albert Sun >> > >
