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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.
http://h2o.ai
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Revise H2O architecture documentation #8797

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

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

[http://docs.h2o.ai/h2o/latest-stable/h2o-docs/architecture.html|http://docs.h2o.ai/h2o/latest-stable/h2o-docs/architecture.html]

Some parts of this page are obsolete:

Eg.:

{quote}Python Python scripts currently must use the REST API directly. An H2O client API for python is planned.{quote}

or

{quote}The language layer consists of an expression evaluation engine for R and the Shalala Scala layer. The R evaluation layer is a slave to the R REST client front-end. The Scala layer, however, is a first-class citizen in which you can write native programs and algorithms that use H2O.{quote}

We need to revise the architecture description to reflect the current state.

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

Angela Bartz commented: Is the image on the h2o.ai product site more appropriate? (to use as a starting point) https://www.h2o.ai/products/h2o/

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-6836 Assignee: New H2O Bugs Reporter: Michal Kurka State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A