Models ensembling¶
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¶
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.