# Continual learning in xgboost

**URL:** https://discourse.julialang.org/t/continual-learning-in-xgboost/78163
**Category:** Machine Learning
**Created:** [March 20, 2022, 2:17pm UTC](https://discourse.julialang.org/t/continual-learning-in-xgboost/78163 "2022-03-20T14:17:53Z")
**Posts on this page:** 1
**Page:** 1

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### Author: ![roh\_codeur](https://avatars.discourse-cdn.com/v4/letter/r/ce73a5/32.png) [@roh\_codeur](https://discourse.julialang.org/u/roh_codeur)
#### Post date: [March 20, 2022, 2:17pm UTC](https://discourse.julialang.org/t/continual-learning-in-xgboost/78163/1 "2022-03-20T14:17:53Z")

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Hi

I am planning on using continual learning in XGboost. In python, it would work as below:

[https://xgboost.readthedocs.io/en/latest/python/python\_api.html#xgboost.XGBRegressor.fit](https://xgboost.readthedocs.io/en/latest/python/python_api.html#xgboost.XGBRegressor.fit)  
[https://stackoverflow.com/questions/38079853/how-can-i-implement-incremental-training-for-xgboost](https://stackoverflow.com/questions/38079853/how-can-i-implement-incremental-training-for-xgboost)

Can anyone please point me how to pass the saved model or how to use the xgb\_model in Julia implementation please

thanks!