# Models ensembling[¶](https://doc.dataiku.com/dss/latest/machine_learning/ensembles.html#models-ensembling "Permalink to this headline")

You can ensemble prediction models in DSS using various ensembling methods.

In the analysis results page, select several models, and click Actions > Create ensemble model.

## Limitations[¶](https://doc.dataiku.com/dss/latest/machine_learning/ensembles.html#limitations "Permalink to this headline")

* Only models trained with the same preprocessing settings can be ensembled.

* It is not possible to ensemble models with different time ordering or weight parameters.

* It is not possible to ensemble models trained using K-Fold cross-test.

* It is not possible to ensemble models trained with vector or image features.

* It is not possible to ensemble partitioned models.

* It is not possible to ensemble computer vision models.

* After deployment as a saved model, it is not possible to retrain an ensemble model on the automation node.

* After deployment as a saved model, it is not possible to retrain an ensemble model if the original models have been removed from the analysis screen.
