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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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Implement HGLM as its own toolbox for family = gaussian #8487

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

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

Support ticket here: https://support.h2o.ai/a/tickets/108551.

For this one, we will first only support family = gaussian. Support for other GLM families can be found in other issues: https://github.com/h2oai/h2o-3/issues/8758

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

Wendy commented: !image-20191216-222602.png|width=427,height=487!

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-7152 Assignee: Wendy Reporter: Wendy State: Open Fix Version: N/A Attachments: Available (Count: 1) Development PRs: N/A

Attachments From Jira

Attachment Name: image-20191216-222602.png Attached By: Wendy File Link:https://h2o-3-jira-github-migration.s3.amazonaws.com/PUBDEV-7152/image-20191216-222602.png

wendycwong commented 1 month ago

@arunaryasomayajula @tomkraljevic:

I have finished preliminary reading on HGLM and want to give you an update on the time frame for implementing HGLM for family = "Gaussian" which is what the customer is testing it for.

I estimate it probably will take me about 4 weeks to finish the implementation. Then time needs to be taken for code review and getting a release out. The whole process will take about 6 weeks to complete.