AutoML should be handled as core extension for consistency

h2oai / h2o-3

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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AutoML should be handled as core extension for consistency #11588

Open exalate-issue-sync[bot] opened 1 year ago

exalate-issue-sync[bot] commented 1 year ago

If AutoML will be extra JAR of part of H2O, it all cases it should be handled as core extension.

The AutoML Rest API should depend on the AutoML core extension.

Example code for this can be XGBoostExtension and RestApiExtension

hasithjp commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-4709 Assignee: New H2O Bugs Reporter: Jakub Hava State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A