@leinmi that is a very good idea since H2O.ai does provide such a list, You can access that when using the models thru R or Python. I wrote an article how to do that with KNIME as a wrapper:
H2O.ai Automl - a powerful auto-machine-learning framework wrapped with KNIME
It features various models like Random Forest or XGBoost along with Deep Learning. It has wrappers for R and Python but also could be used from KNIME. The results will be written to a folder and the models will be stored in MOJO format to be used in KNIME (as well as on a Big Data cluster via Sparkling Water).
One major parameter to set is the running time the model has to test various models and do some hyperparam…
H2O.ai Automl - a powerful auto-machine-learning framework wrapped with KNIME
It features various models like Random Forest or XGBoost along with Deep Learning. It has wrappers for R and Python but also could be used from KNIME. The results will be written to a folder and the models will be stored in MOJO format to be used in KNIME (as well as on a Big Data cluster via Sparkling Water).
One major parameter to set is the running time the model has to test various models and do some hyperparam…
2 Likes