Provides parsnip model wrappers for H2O machine learning algorithms, enabling integration with the tidymodels ecosystem.
Model Wrappers for H2O models
Forecast the US demand for electricity
A repository for deploying an AWS EMR cluster and submiting spark jobs on it. Boostrapping by default does inclues pysparkling so one can easily use h2o with python and spark.
Evaporate is a tool that converts H2O POJO (Plain Old Java Object) model files into JavaScript, enabling them to run directly in web browsers. It leverages JSweet for Java-to-JavaScript transpilation and browserify for bundling, making machine learning models accessible in client-side applications without server-side dependencies. ## Key Features - **POJO to JavaScript Transpilation** — Uses JSweet to convert H2O model POJOs into executable JavaScript code. - **Browser Compatibility** — Bundles transpiled code with browserify for cross-browser compatibility. - **Customizable Transpilation** — Supports configuration of JSweet options via pom.xml, including bundling settings. - **Rapid Prototyping** — Provides a quick starting point for integrating H2O models into web interfaces. ## Philosophy Evaporate is designed as a pragmatic starting point rather than a final solution, focusing on simplicity and flexibility to help developers quickly deploy H2O models in browser environments.
Splashing a User Interface onto h2o MOJO Files
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