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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.
http://h2o.ai
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Adding XGBoost option to algorithm parameter of Rulefit #7211

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

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

Currently, there are two options “DRF”, or “GBM” as possible values to assign to the algorithm parameter for Rulefit. Adding XGBoost as another option to the algorithm parameter would be great.

h2o-ops-ro commented 1 year ago

JIRA Issue Details

Jira Issue: PUBDEV-8450 Assignee: Zuzana Olajcová Reporter: N/A State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A