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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
Apache License 2.0
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add monotone constraints for random forest #8930

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

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

Currently the monotone constraints is available for xgboost and gbm. It would be great if this feature can be added to DRF to ensure local monotonicity. Currently there is no R package can achieve this.

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-6702 Assignee: Michal Kurka Reporter: Yu Cao State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A