Add Documentation on how Target Encoding handles unseen values

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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Add Documentation on how Target Encoding handles unseen values #8006

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

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

TODO: TE is implemented according [http://helios.mm.di.uoa.gr/~rouvas/ssi/sigkdd/sigkdd.vol3.1/barreca.pdf|http://helios.mm.di.uoa.gr/~rouvas/ssi/sigkdd/sigkdd.vol3.1/barreca.pdf]

check whether TE h2o implementation corresponds to Handling Missing Data section in barreca.pdf.

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-7633 Assignee: Sebastien Poirier Reporter: Megan Kurka State: Open Fix Version: Backlog Attachments: N/A Development PRs: N/A