# How to build a stacking regressor in Knime?

**URL:** <https://forum.knime.com/t/how-to-build-a-stacking-regressor-in-knime/46674>\
**Category:** KNIME Analytics Platform\
**Created:** [September 2, 2022, 1:32am UTC](https://forum.knime.com/t/how-to-build-a-stacking-regressor-in-knime/46674 "2022-09-02T01:32:25Z")\
**Posts on this page:** 1\
**Showing post:** 3

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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:** [September 4, 2022, 7:51am UTC](https://forum.knime.com/t/how-to-build-a-stacking-regressor-in-knime/46674/3 "2022-09-04T07:51:27Z")

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@HY_Z H2O.ai Automl would [support stacked models](https://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/stacked-ensembles.html?highlight=stacked). You can use the [KNIME node](https://kni.me/n/0gd1E7-Fne7-HB5p):

 ![image](https://forum-cdn.knime.com/uploads/default/original/3X/8/2/82928d6796e05e5b07a0417816889014225075bc.jpeg)

> **[H2O AutoML for Regression – knime](https://hub.knime.com/knime/spaces/Examples/04_Analytics/15_H2O_Machine_Learning/11_H2O_AutoML_Regression_Model~zDt85GR4CDRvyrtf/current-state)**
>
> This example shows how to build a regression model with H2O AutoML, predict new data and score the regression metrics for model evaluation. 1. Prepare: Load th…

Or you could use the packages wrapped with a R or Python node in KNIME which gives you more flexibility [concerning the settings](https://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html):

> [@H2O.ai AutoML in KNIME for regression problems](https://forum.knime.com/t/h2o-ai-automl-in-knime-for-regression-problems/20924):
>
> H2O.ai Automl - a powerful auto-machine-learning framework wrapped with KNIME It features various models like Random Forest or XGBoost along with Deep Learning. It has wrappers for R and Python but also could be used from KNIME. The results will be written to a folder and the models will be stored in MOJO format to be used in KNIME (as well as on a Big Data cluster via Sparkling Water). One major parameter to set is the running time the model has to test various models and do some hyperparam…

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