# Missing values in a model?

**URL:** <https://discourse.pymc.io/t/missing-values-in-a-model/2157>\
**Category:** Questions\
**Created:** [November 7, 2018, 12:15am UTC](https://discourse.pymc.io/t/missing-values-in-a-model/2157 "2018-11-07T00:15:40Z")\
**Posts on this page:** 1\
**Showing post:** 12

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**Author:** ![rpgoldman](https://yyz2.discourse-cdn.com/flex036/user_avatar/discourse.pymc.io/rpgoldman/32/1800_2.png) [@rpgoldman](https://discourse.pymc.io/u/rpgoldman)\
**Post date:** [November 7, 2018, 7:37pm UTC](https://discourse.pymc.io/t/missing-values-in-a-model/2157/12 "2018-11-07T19:37:37Z")

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I’m not sure, either. I’ll have to go back and “unfix” it so that I can test.

I guess my general feeling is that data imputation should be the “marked” (non-default) mode of operation, instead of the unmarked (default).

If you expect there to be no missing data, then your model fails in very hard-to-track ways when imputation happens (or doesn’t happen, which seems to be my case) instead of getting a warning about missing data.

I don’t _think_ that I’m wrong in this – I suspect most users don’t expect imputation, but I could be wrong.

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