Top MLJ.jl issues

Can't use @load inside a package

CameronBieganek picture CameronBieganek·23 Jul 2020·25 Comments

`XGBoostClassifier` can't be serialised. Add custom serialisation?

aviatesk picture aviatesk·1 May 2020·7 Comments

Visualizing hyperparameter tuning results for arbitrary numbers of parameters

MLJTuning
ablaom picture ablaom·3 Jan 2020·11 Comments
👍2

Logistic Regression

Sinansi picture Sinansi·22 Oct 2019·6 Comments

Related efforts in the Julia ecosystem. PP, autoML, formulae, visualization, and others.

datnamer picture datnamer·23 Jan 2019·15 Comments
❤1

Check number of levels of y_train before calling fit

api
tlienart picture tlienart·20 May 2020·4 Comments
👍2

Should some if any "classic" ML algorithms accepts matrix input in addition to table input?

design discussion
juliohm picture juliohm·16 Aug 2019·22 Comments

Model wrapper for controlling iterative models.

enhancement
ablaom picture ablaom·23 May 2019·18 Comments
👍1

Adopt and update XGBoost.jl wrappers

ChrisRackauckas picture ChrisRackauckas·18 Apr 2019·7 Comments

Add DAG scheduling (e.g. Dagger.jl) to training of learning networks

enhancement
ablaom picture ablaom·5 Feb 2019·14 Comments
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