Quasi Binomial support into GBM

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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Quasi Binomial support into GBM #11256

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

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

GLM has support for the "quasi binomial" family. When will that be available for GBM? That's needed for a feature in our software I'm working on.

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

Michal Malohlava commented: @arno is it feasible with actual GBM implementation?

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

Arno Candel commented: yes, it's doable, just a matter of prioritization

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-4367 Assignee: Arno Candel Reporter: Avkash Chauhan State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A