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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
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AutoML: for testing purpose, implement Dummy modelling step, especially for use in time-constrained tests. #8349

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

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

Current AutoML tests can fail intermittently, especially when testing time-constraints.

Now that we can plug custom steps, suggestion is to implement a configurable dummy step (for example the algo type could be configurable so that we have different kind of models) that is trained in specified time.

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

Tomas Fryda commented: This was put on hold. Details in [https://github.com/h2oai/h2o-3/pull/4413|https://github.com/h2oai/h2o-3/pull/4413|smart-link]

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-7288 Assignee: Tomas Fryda Reporter: Sebastien Poirier State: Open Fix Version: N/A Attachments: N/A Development PRs: Available

Linked PRs from JIRA

https://github.com/h2oai/h2o-3/pull/4413 https://github.com/h2oai/h2o-3/pull/4306