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Statfactory / JuML.jl

Machine Learning in Julia
MIT License
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Integration with MLJ #2

Open datnamer opened 5 years ago

datnamer commented 5 years ago

MLJ could use a good Xgboost implementation IIRC, and you have some cool functional programming concepts used here. Have you thought about combining forces?

@ablaom might be interested.

https://github.com/alan-turing-institute/MLJ.jl

amlocek commented 5 years ago

I'm open to a discussion. Who do I talk to?

Adam

ablaom commented 5 years ago

We are certainly interested in pure-Julia gradient boosting algorithms and would be happy to help the JuML authors implement the MLJ model interface for their XGBoost implementation.

amlocek commented 5 years ago

Are you in Auckland in May? I’m in Sydney for a month and I was going to visit a friend in Auckland so maybe we could meet in person and discuss.

Adam

ablaom commented 5 years ago

Yes, I will be in Auckland in May and very happy to meet with you.

ablaom commented 5 years ago

https://github.com/alan-turing-institute/MLJ.jl/issues/122