Write Random Forest booklet

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.

http://h2o.ai

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Write Random Forest booklet #9978

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

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

H2O's Distributed Random Forest algorithm does not have a booklet. Therefore, a lot of the implementation details have never been written down and should be documented for reference. Writing this booklet will require interviewing [~accountid:557058:3bc534f4-c129-4d5f-b8c1-5a69d34942ee] and others about the details of the algorithm and looking through h2ostream for information.

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

Arno Candel commented: I feel that without https://0xdata.atlassian.net/browse/PUBDEV-1226, this algo isn't finished yet...

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-3055 Assignee: Angela Bartz Reporter: Erin LeDell State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A