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Documentation if it is possible to use Accelerated Failure Time model in boost_tree engine xgboost #162

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brunocarlin opened this issue Mar 10, 2022 · 3 comments

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@brunocarlin
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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.

@topepo
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topepo commented Mar 10, 2022

We are keeping all of the survival work in the censored package so I'll transfer this issue to that repo.

@topepo topepo transferred this issue from tidymodels/parsnip Mar 10, 2022
@hfrick
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hfrick commented Mar 14, 2022

closing this in favour of #161

@hfrick hfrick closed this as completed Mar 14, 2022
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This issue has been automatically locked. If you believe you have found a related problem, please file a new issue (with a reprex: https://reprex.tidyverse.org) and link to this issue.

@github-actions github-actions bot locked and limited conversation to collaborators Mar 29, 2022
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3 participants