# MLJ Tuning and Hyperparameters , Regression

**URL:** <https://discourse.julialang.org/t/mlj-tuning-and-hyperparameters-regression/90546>\
**Category:** Performance\
**Tags:** optimization, machine-learning, mlj\
**Created:** [November 20, 2022, 4:16pm UTC](https://discourse.julialang.org/t/mlj-tuning-and-hyperparameters-regression/90546 "2022-11-20T16:16:01Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Mr.Benz](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/mr.benz/32/44494_2.png) [@Mr.Benz](https://discourse.julialang.org/u/Mr.Benz)\
**Post date:** [November 20, 2022, 4:16pm UTC](https://discourse.julialang.org/t/mlj-tuning-and-hyperparameters-regression/90546/1 "2022-11-20T16:16:01Z")

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I started with julia , new to data science. i have a quetion on MLJ tuning ang iteratied model. in a loop , Do we need to do TunedModel + IteratedModel +evaluate or IteratedModel +TunedModel +evaluate which is best way and efficient way of doing regres