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Implement online learning #145

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georgerichardson opened this issue May 4, 2017 · 4 comments
Open

Implement online learning #145

georgerichardson opened this issue May 4, 2017 · 4 comments

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@georgerichardson
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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.

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

@georgerichardson
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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

@oskarsinger
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oskarsinger commented Mar 5, 2018

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.

@emtseng
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emtseng commented Jun 6, 2018

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.

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