Icon

20210629 Pikairos Saving all models when using X-Partitioner

20210628 Pikairos Saving all models when using X-Partitioner

There has been no description set for this workflow's metadata.

Load irisdataPartitionyour Data Setfor a 10-CVTrain oncurrent iterationPredict on currenti-Test setStore the currenti model into a cellCalculateScorings oncurrenti-Test SetSet new columnwith RowIDcontentSet new columnwith RowIDcontentSet RowIDcolumn firstSet RowIDcolumn firstLoop overthe K-fold resultsand gather them+ ModelsSave all Modelsat OnceSave current modelin fileknime://knime.workflow/_LOCAL_DATA/iris_model_(i) This is controlled by a variable Generate anew name for everymodel at everyiterationSet a columnwith the local path tothe current model fileTable Reader X-Partitioner XGBoost TreeEnsemble Learner XGBoost Predictor Model to Cell Scorer RowID RowID Column Resorter Column Resorter Loop End (Upto4 ports) Table Writer Model Writer Java EditVariable (simple) Variable toTable Row Column Appender Load irisdataPartitionyour Data Setfor a 10-CVTrain oncurrent iterationPredict on currenti-Test setStore the currenti model into a cellCalculateScorings oncurrenti-Test SetSet new columnwith RowIDcontentSet new columnwith RowIDcontentSet RowIDcolumn firstSet RowIDcolumn firstLoop overthe K-fold resultsand gather them+ ModelsSave all Modelsat OnceSave current modelin fileknime://knime.workflow/_LOCAL_DATA/iris_model_(i) This is controlled by a variable Generate anew name for everymodel at everyiterationSet a columnwith the local path tothe current model fileTable Reader X-Partitioner XGBoost TreeEnsemble Learner XGBoost Predictor Model to Cell Scorer RowID RowID Column Resorter Column Resorter Loop End (Upto4 ports) Table Writer Model Writer Java EditVariable (simple) Variable toTable Row Column Appender

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: Molina
Created at: 2021-06-28
On NodePit since: 2022-02-06
Last update: 2024-04-25
Created with KNIME version: v4.2.4

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!