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Published 20 hours ago • verified publisher icon Data4Democracy

Implement online learning

Open georgerichardson opened this issue 7 years ago • 4 comments

As more articles are gathered, analysed and verified by a human, it would be nice for the ML models to self update. Open to discussion on tools and best practices for this.

georgerichardson avatar May 04 '17 18:05 georgerichardson

What are the ML models used for? I must have lost track in the slack convo...

domingohui avatar May 05 '17 00:05 domingohui

The ML I'm thinking of for this particular issue are to tag the articles as about displacement/not about displacement and then as disaster/conflict/other as the reason for displacement

georgerichardson avatar May 18 '17 21:05 georgerichardson

I have an extensive online learning background. Would be interested in details of the problem. Sounds like it may be better to just retrain periodically because this sounds like a supervised learning problem, but it depends on more specifics.

oskarsinger avatar Mar 05 '18 20:03 oskarsinger

Agreed @oskarsinger. Details pending, of course, but I imagine it may be useful to investigate and then set a threshold for the number of new articles tagged to trigger a retraining.

emtseng avatar Jun 06 '18 20:06 emtseng