AutoML: build fast default GLM

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: build fast default GLM #7190

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

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

Given that the current GLM model can be expensive due to {{alpha}}+ {{lambda}} search which makes GLM behave like a small grid, the suggestion is to first build a fast default GLM very early in the process, and postpone the training of the GLM with elastic net to later after the GBM grid.

h2o-ops-ro commented 1 year ago

JIRA Issue Details

Jira Issue: PUBDEV-8472 Assignee: Sebastien Poirier Reporter: Sebastien Poirier State: In Progress Fix Version: Backlog Attachments: N/A Development PRs: Available

h2o-ops-ro commented 1 year ago

Linked PRs from JIRA

https://github.com/h2oai/h2o-3/pull/5955