Help with SVM algorithm (under optimization loop)

[mlauber71]

@Daniel_Weikert

Have you used KNIME H2o or other ML nodes in production at work? If so any issues?

Indeed I have you can hear about the experience here in this video:

H2O.ai AutoML in KNIME for classification problems

If you want to see this approach in action in a big data environment you could check out this collection of workflows demonstrating the development and deployment of H2O.ai auto-machine-learning models on a big data environment with the help of the Sparkling Water node. There also is a presentation on YouTube showing how it is done: (the presentation is in German, the slides are in english)

As always you have to think about your data and your use case and how to set up the training files. Nice thing with H2O.ai and MOJO files is you can train them in one environment and transfer it to another (R, Python, Spark/BigData) and KNIME will coordinate it or even handle them itself.

A slightly newer collection about how to integrate H2O.ai with Big Data systems can be found here - “The poor man’s ML Ops”:

mlauber71/Public – kn_example_bigdata_h2o_automl_spark_46

s_618 - H2O.ai AutoML (generic KNIME nodes) in KNIME for classification...