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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Implement HGLM with family = Binomial; rand_family=["gaussisan"]. Ideally with a SUBJECT field (Responses from different subjects are assumed to be statistically independent, and responses within subjects are assumed to be correlated). #7215

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

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

Implement HGLM with family = Binomial; rand_family=["gaussisan"]. Ideally with a SUBJECT field (Responses from different subjects are assumed to be statistically independent, and responses within subjects are assumed to be correlated).

R lme4: http://bbolker.github.io/mixedmodels-misc/glmmFAQ.html

SAS GENMOD: https://documentation.sas.com/doc/en/statug/15.2/statug_genmod_syntax26.htm

h2o-ops-ro commented 1 year ago

JIRA Issue Details

Jira Issue: PUBDEV-8446 Assignee: New H2O Bugs Reporter: N/A State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A