Benchmark the different GLM solvers

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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Benchmark the different GLM solvers #10788

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

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

Benchmark the accuracy and speed of the four different GLM solvers on a variety of datasets, including some datasets with highly correlated features (such as what you would find in the metalarning step of stacking).

There are some expectations outlined in this ticket: https://0xdata.atlassian.net/browse/PUBDEV-3890 We should check that these assumptions are consistent with our benchmarks.

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-3892 Assignee: Nikhil Shekhar Reporter: Erin LeDell State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A