XGBoost and LightGBM implementations
Hello,
while the h20 gbm definitely is a performing model, I often find myself using the XGBoost or lightgbm model from either R or python instead. Given this is one of the most commonly used gbm models, any chance we could have them added to RapidMiner.
while the h20 gbm definitely is a performing model, I often find myself using the XGBoost or lightgbm model from either R or python instead. Given this is one of the most commonly used gbm models, any chance we could have them added to RapidMiner.
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Scott
Is there any news about this? I would also be interested in trying a RapidMiner XGBoost implementation and see how it compares with an existing model based on H2O Gradient Boosted Trees.
Thanks
Dortmund, Germany
Dortmund, Germany
Dortmund, Germany
- https://github.com/criteo-forks/xgboost-jars/.
It is becoming a sort of second-hand development and I am not sure if GPU would be supported in this project.Dortmund, Germany