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H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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datapythonista
datapythonista commented Apr 17, 2021

xref #2729

Most of the operations are defined in a registry.py file in the corresponding backend. An alternative way is to use a compiles decorator on a function, that would simply add the operation to the same registry. This makes things unnecessarily complicated and confusing. Simply using the registry makes things easier to understand. For most backends, the compiles decorator has bee

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  • Updated Apr 13, 2021
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