SHAP contributions for non-tree based models and ensemble models

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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SHAP contributions for non-tree based models and ensemble models #7512

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

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

a) Compute and provide SHAP contribs for non- tree based models. b) Compute and provide SHAP contribs for ensemble models.

h2o-ops commented 1 year ago

JIRA Issue Details

Jira Issue: PUBDEV-8138 Assignee: New H2O Bugs Reporter: Arun Aryasomayajula State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A