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
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Only models trained with the same preprocessing settings can be ensembled.
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It is not possible to ensemble models with different time ordering or weight parameters.
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It is not possible to ensemble models trained using K-Fold cross-test.
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It is not possible to ensemble models trained with vector or image features.
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It is not possible to ensemble partitioned models.
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It is not possible to ensemble computer vision models.
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After deployment as a saved model, it is not possible to retrain an ensemble model on the automation node.
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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.