xgboost

[Carlos Crosetti]

Hi, FYA loaded latest Rettle version on R 3.4.1 and noticed XGBoost is available now, cool!

Thanks so much!

Carlos

[Graham Williams]

Thanks Carlos - yes xgboost has been incorporated. A little refinement to do still. Bug reports are most welcome :-)

An announcement has just appeared on the revolutions blog: http://blog.revolutionanalytics.com/2017/07/xgboost-support-added-to-rattle.html

Regards,
Graham

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[Carlos Crosetti]

Thanks Graham. I am aware of the Revolutions blog, but I do not visit it often.

Kind regards, Carlos

[Eugene Dubossarsky]

This is terrific news !

glmnet to follow, then KerasR please !

best regards,

Dr. Eugene Dubossarsky
Principal Trainer
Presciient
http://presciient.com/
0414573322

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[Graham Williams]

Thanks for the encouragement Eugene :-)

With the new glmnetUtils package, glmnet should be a breeze. Stay tuned.

Currently exploring keras too.

This will bring Rattle up to the current state-of-the-art in open source for each of the different types on models.

Regards,
Graham

[Eugene Dubossarsky]

That all sounds great !

kth-nearest neighbour would be a nice addition too.

Also, adding ranger and randomUnifromForest to the random forest section would be great.

ranger is super-fast, while RUF has fantastic partial variable importance measures and visualisations.

Also ranger provides the new extraTrees functionality - randomising split points as well as candidate splitting variables,

and RUF allows quantile regression.

best regards,

Dr. Eugene Dubossarsky
Principal Trainer
Presciient
http://presciient.com/
0414573322

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