iyarlin / survxgboost Goto Github PK
View Code? Open in Web Editor NEWA small wrapper package that enables full survival curve estimation using xgboost
A small wrapper package that enables full survival curve estimation using xgboost
Hi,
Can you provide some documentation explaining how XGBoost makes changes to the survival analysis, such as what the loss function is and what the evaluation metrics is (cox-nloglik)?
Does the package still no longer handle missing values and if so what exactly about it breaks?
There is this line in the example which if I comment out still runs without warning or error
"lung <- lung[complete.cases(lung), ] # doesn't handle missing values at the moment"
Hello, recently I used your package for survival analysis, but there are two problems that have not been solved. The first one is how to output the best parameter combination; The second is how to output the feature importance of the best model. Looking forward to your answers
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