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personal learning memo
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Parameter tuning: Basic understanding #27

Open choshin84 opened 4 years ago

choshin84 commented 4 years ago

Tweet summary

(GBM) Separate tree based parameters and Boosting parameters (XGB/LGBM/Cat) Add regularization parameters

Useful link

https://www.analyticsvidhya.com/blog/2016/02/complete-guide-parameter-tuning-gradient-boosting-gbm-python/ https://www.analyticsvidhya.com/blog/2016/03/complete-guide-parameter-tuning-xgboost-with-codes-python/

choshin84 commented 4 years ago

Try out later https://github.com/pfnet/optuna

choshin84 commented 4 years ago

Annotation 2019-08-14 135823

choshin84 commented 4 years ago

Catboost needs to use GPU acceleration for some parameters, i.e. min_data_in_leaf