Evaluate GAM: Scalable Interpretability via Polynomials

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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Evaluate GAM: Scalable Interpretability via Polynomials #6565

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

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

Wendy Wong commented: There are claims that this can beat deeplearning. That is a big claim.

[https://arxiv.org/abs/2205.14108|https://arxiv.org/abs/2205.14108]

h2o-ops commented 1 year ago

JIRA Issue Details

Jira Issue: PUBDEV-8782 Assignee: New H2O Bugs Reporter: Wendy Wong State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A