Update/clarify error messages when XGBoost fails to load

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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Update/clarify error messages when XGBoost fails to load #7915

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

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

It currently prints out

07-28 14:02:38.516 127.0.0.1:54321 18034 main INFO: Cannot initialize XGBoost backend! Xgboost (enabled GPUs) needs:
07-28 14:02:38.516 127.0.0.1:54321 18034 main INFO: - CUDA 8.0
07-28 14:02:38.516 127.0.0.1:54321 18034 main INFO: XGboost (minimal version) needs:
07-28 14:02:38.516 127.0.0.1:54321 18034 main INFO: - GCC 4.7+

This is confusing because it mentions CUDA (not needed in OpenMP) mode and we also need to check the minimum requirement on GCC 4.7.

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-7724 Assignee: New H2O Bugs Reporter: Michal Kurka State: Open Fix Version: Backlog Attachments: N/A Development PRs: N/A