# H2O AutoML Numeric Scorer and evaluation in python

**URL:** <https://forum.knime.com/t/h2o-automl-numeric-scorer-and-evaluation-in-python/83602>\
**Category:** KNIME Extensions\
**Tags:** reporting\
**Created:** [October 2, 2024, 8:44am UTC](https://forum.knime.com/t/h2o-automl-numeric-scorer-and-evaluation-in-python/83602 "2024-10-02T08:44:13Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![mlauber71](https://forum-cdn.knime.com/user_avatar/forum.knime.com/mlauber71/32/73590_2.png) [@mlauber71](https://forum.knime.com/u/mlauber71)\
**Post date:** [October 2, 2024, 8:36pm UTC](https://forum.knime.com/t/h2o-automl-numeric-scorer-and-evaluation-in-python/83602/2 "2024-10-02T20:36:01Z")

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> [@inirem](#):
>
> export my model and predictions and then use them in python code to manually assert more/other metrics

You can export your H2O model as mojo file and then extract more information via a Python node:

> [@H2O Generalized Linear Model Learner (Regression) - H2O Model Port to variable or table](https://forum.knime.com/t/h2o-generalized-linear-model-learner-regression-h2o-model-port-to-variable-or-table/66079/5):
>
> @jichaohe @jichaohe @elliegreib @kevweath well actually there is a way to do this. One could employ a Python node and H2O.ai in the background to extract a buch of parameters and also the summary from the MOJO model file. Though admittedly not the most elegant way you could have the information in a file slight_smile[kn\_example\_ml\_regression\_h2o\_glm\_parameter.knwf](https://forum.knime.com/uploads/short-url/hqgHTMrxn7Zs7acIt22CqEFaGgW.knwf) (222.2 KB) If you are interested you might also check out these article and workflows (I plan on having a walkthroug…

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