Create an interface for stacking the predictions from non-H2O models

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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Create an interface for stacking the predictions from non-H2O models #7606

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

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

This is very handy to have this -- it allows stacking of H2O models with models trained outside of H2O (e.g. LightGBM, Catboost, other AutoML frameworks, etc).

h2o-ops commented 1 year ago

JIRA Issue Details

Jira Issue: PUBDEV-8043 Assignee: UNASSIGNED Reporter: Erin LeDell State: Open Fix Version: Backlog Attachments: N/A Development PRs: N/A