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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.
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Survival Models in H2O (R & Python) for new versions? #10861

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

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

I see lot of models/algorithms H2O like GBM, RandomForests, DeepLearning etc., Is there any scope h2o is planning to add Survival models like Cox Proportional hazard in the coming versions. Is there any work around in using these? Thanks!

Regards cud155

Reference: https://community.h2o.ai/questions/1553/survival-models-in-h2o-r-python-for-new-versions.html

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

Gregory Kanevsky commented: see PUBDEV-5019

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-3968 Assignee: New H2O Bugs Reporter: Avkash Chauhan State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A