H2O GBM parameter optimization

This workflow shows how to use Parameter Optimization in combination with H2O. In the example we train multiple GBM models using brute force grid search and use the optimal parameters to train the final model.

H2O GBM parameter optimization

 

Resources

EXAMPLES Server: 04_Analytics/15_H2O_Machine_Learning/06_H2O_GBM_parameter_optimization04_Analytics/15_H2O_Machine_Learning/06_H2O_GBM_parameter_optimization*
Download a zip-archive

References:

 

 


* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually