The PMML Ensemble Predictor node takes a pmml document containing an ensemble of other models and executes all of them on the given data. The results from all models are then aggregated using a method specified in the ensemble model. The output contains a column for each prediction of the single models (if set in the settings) and one column with the combined result. Note that ensembles of ensembles are not supported with the exception of Gradient Boosted Trees which are treated base model. It's on the other hand not possible to predict Gradient Boosted Trees models with this predictor, please use the PMML Predictor node or the Gradient Boosted Trees Predictor (PMML) nodes for this task.
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
A zipped version of the software site can be downloaded here.
Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.Try NodePit Runner!
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to firstname.lastname@example.org, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.