Add warning if any model is being trained that is not reproducible

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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Add warning if any model is being trained that is not reproducible #9374

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

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

Add a warning if a model is being trained that is not reproducible. For example, if a GBM model is trained with sampling turned on and no seed, then a warning would be outputted that this model cannot be reproduced.

This should be added for both supervised and unsupervised algorithms.

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-6247 Assignee: New H2O Bugs Reporter: Megan Kurka State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A