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Currently the documentation on https://xgboost.readthedocs.io/en/stable/tutorials/aft_survival_analysis.html shows how to implement aft models with xgboost, the problem is that to set up setinfo(dtrain, 'label_lower_bound', y_lower_bound) I haven't found a way yet using parsnip, it would be cool if the Surv formula interface worked, I know that the package censored tries to incorporate Survival Models, but this would not nescessarily have to live in that package since I am only interested in the output from the xgboost estimation itself, I will later try to stack it with a Cox or AFT model to get a survival model, and then I could use censor as the finishing layer.
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Currently the documentation on https://xgboost.readthedocs.io/en/stable/tutorials/aft_survival_analysis.html shows how to implement aft models with xgboost, the problem is that to set up
setinfo(dtrain, 'label_lower_bound', y_lower_bound)
I haven't found a way yet using parsnip, it would be cool if the Surv formula interface worked, I know that the package censored tries to incorporate Survival Models, but this would not nescessarily have to live in that package since I am only interested in the output from the xgboost estimation itself, I will later try to stack it with a Cox or AFT model to get a survival model, and then I could use censor as the finishing layer.The text was updated successfully, but these errors were encountered: