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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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Definition of categorical_encoding values different in algo vs generic page #8887

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

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

The definitions of the values for categorical_encoding differs on the algo pages (GBM, XGBoost, maybe others) vs on the [http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/algo-params/categorical_encoding.html?highlight=categorical_encoding|http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/algo-params/categorical_encoding.html?highlight=categorical_encoding)] page.

vs

[http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/gbm.html|http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/gbm.html]

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-6746 Assignee: Angela Bartz Reporter: Erin LeDell State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A