# N\_adapt in NUTS()

**URL:** <https://discourse.julialang.org/t/n-adapt-in-nuts/100967>\
**Category:** New to Julia\
**Tags:** question, turing\
**Created:** [June 29, 2023, 9:01am UTC](https://discourse.julialang.org/t/n-adapt-in-nuts/100967 "2023-06-29T09:01:49Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![Sahil\_Khan](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/sahil_khan/32/47573_2.png) [@Sahil\_Khan](https://discourse.julialang.org/u/Sahil_Khan)\
**Post date:** [June 29, 2023, 9:01am UTC](https://discourse.julialang.org/t/n-adapt-in-nuts/100967/1 "2023-06-29T09:01:49Z")

</div>

What happens if we keep n\_adapts = 0?  
Does it has any bad effect on whole inference or its just not giving initial burnin which you can give later manually after obtaining chain or is it something else?
