Random Forest Classifier executed in 3 nodes, 1 master and 2 workers, with a generated dataset, using 1 Million rows x 100 features
Version 1

Workflow Type: COMPSs

Name: Random Forest Contact Person: support-compss@bsc.es
Access Level: public
License Agreement: Apache2
Platform: COMPSs
Machine: MareNostrum4
This is an example of Random Forest algorithm from dislib. To show the usage, the code generates a synthetical input matrix. The results are printed by screen. This application used dislib-0.9.0

Click and drag the diagram to pan, double click or use the controls to zoom.

Version History

Version 1 (earliest) Created 14th Feb 2024 at 14:05 by Fernando Vázquez-Novoa

No revision comments

Frozen Version-1 c310c2c
help Creators and Submitter
Creator
  • Fernando Vázquez-Novoa
Submitter
Citation
Vázquez-Novoa, F. (2024). Random Forest executed in 3 worker nodes, with a generated dataset, using 1 Million rows x 100 features. WorkflowHub. https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.748.1
Activity

Views: 783   Downloads: 172

Created: 14th Feb 2024 at 14:05

Last updated: 9th Aug 2024 at 08:14

Annotated Properties
help Attributions

None

Total size: 208 KB
Powered by
(v.1.16.0-main)
Copyright © 2008 - 2024 The University of Manchester and HITS gGmbH