# Custom XGBoost Loss function w/ Zygote. Julia Computing blog post

**URL:** <https://discourse.julialang.org/t/custom-xgboost-loss-function-w-zygote-julia-computing-blog-post/35811>\
**Category:** Machine Learning\
**Tags:** zygote, kaggle\
**Created:** [March 10, 2020, 8:42pm UTC](https://discourse.julialang.org/t/custom-xgboost-loss-function-w-zygote-julia-computing-blog-post/35811 "2020-03-10T20:42:21Z")\
**Posts on this page:** 1\
**Showing post:** 17

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**Author:** ![ppalmes](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/ppalmes/32/6838_2.png) [@ppalmes](https://discourse.julialang.org/u/ppalmes)\
**Post date:** [April 1, 2020, 3:02am UTC](https://discourse.julialang.org/t/custom-xgboost-loss-function-w-zygote-julia-computing-blog-post/35811/17 "2020-04-01T03:02:21Z")

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i don’t store prediction type info in my model structure. the behavior of prediction type is implicit to the behavior of fit and transform functions.

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