H2O.ai AutoML (wrapped with R) in KNIME for classification problems

H2O.ai AutoML (wrapped with R) in KNIME for classification problems - a powerful auto-machine-learning framework

https://hub.knime.com/mlauber71/spaces/Public/latest/automl/
kn_automl_h2o_classification_r

H2O.ai AutoML in KNIME for classification problems
https://forum.knime.com/t/h2o-ai-automl-in-knime-for-classification-problems/20923

It features various models like Random Forest or XGBoost along with Deep Learning. It has warppers 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 hyper parameter optimization as well. The best model of each round is stored and some graphics are produced to see the results.

To run this workflow you have to install R and H2O.ai with several packages. Please refer to the green box on the right.

The results may be used also on Big Data clusters with the help of H2O.ai Sparkling Water (https://hub.knime.com/mlauber71/spaces/Public/latest/kn_example_h2o_sparkling_water)

External resources

• Kaggle - House Prices: Advanced Regression Techniques
• Downloading & Installing H2O
• 11 Important Model Evaluation Metrics for Machine Learning Everyone should know
• Profile mlauber71
• A Deep dive into H2O’s AutoML
• Combine Big Data, Spark and H2O.ai Sparkling Water
• H2O.ai AutoML in KNIME for classification problems