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 >
