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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.
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Implement loss functions and summary statistics #10107

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

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

Andisheh.Mahdavi@capitalone.com (Andy Mahdavi) Capital One

Implement loss functions and summary statistics that COF uses: for example, Somer's D, Gini C

More details to be added after further conversation with CapitalOne

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

Bill Gallmeister commented: Venkatesh, let's get more detail on this request, thanks!

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

Venkatesh Yadav commented: Had an email conversation with Andy and he has mentioned that this capability is no longer needed. We will have to make a decision on whether to keep this issue open or closed.

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-3187 Assignee: Venkatesh Yadav Reporter: Venkatesh Yadav State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A