rcurtin_irc changed the topic of #mlpack to: mlpack: a scalable machine learning library (https://www.mlpack.org/) -- channel logs: https://libera.irclog.whitequark.org/mlpack -- NOTE: messages sent here might not be seen by bridged users on matrix, gitter, or slack
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<EshaanAgarwal[m]> <EshaanAgarwal[m]> "almost done. actually the weight..." <- Update : I think I am able to load weights successfully now.
<EshaanAgarwal[m]> Shifting to the next set of steps.
<zoq[m]> Eshaan Agarwal: do you mind to post the link to the meeting here?
<EshaanAgarwal[m]> zoq[m]: Sure ! here it is - https://meet.google.com/pnp-rtjw-unz
<zoq[m]> EshaanAgarwal[m]: Thanks
<shrit[m]> I am really proud of the refactoring that we have done, great work everyone, it has been 2 years we are working on this, and it has never been that close. mlpack 4 is going to look really better than mlpack 3. Thanks all for your hard work. I have seen a lot of PRs that has been merged in the past months, these PRs were in the queue waiting to get completed and now all of these are coming together at the same time.
<rcurtin[m]> Little by little @shrit, we are getting there! I just made a list of things remaining before mlpack 4 and it's not long (but maybe I forgot something). Remove namespaces, update examples/models repos, clean up documentation, and I think we're ready
<shrit[m]> rcurtin[m]: please request review from me on any thing that you have, if I have time I will review it. I am more than happy to accelerate what we have left.
<rcurtin[m]> Sure, I will do that, but be prepared, it'll be a lot of very boring but very large diffs 😀
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