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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Cannot pull details for models built using h2o.xgboost() with gblinear as the booster #7760

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

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

When I built a model using h2o.xgboost() with gblinear as the booster, it seems that there is no way to pull the details (such as variable importance) of the model. Neither h2o.coef() nor h2o.varimp() worked.

Could anyone look into this issue, please? Thank you!

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

Yu Cao commented: Is anyone working on this issue, please?

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-7885 Assignee: New H2O Bugs Reporter: Yu Cao State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A