.skip_if_not_developer

<p>Collected here are the various methods used by the h2o-R package to communicate with the H2O
backend. There are methods for checking cluster health, polling, and inspecting objects in
the H2O store.</p>

R interface for 'H2O', the scalable open source machine learning
platform that offers parallelized implementations of many supervised and
unsupervised machine learning algorithms such as Generalized Linear
Models, Gradient Boosting Machines (including XGBoost), Random Forests,
Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox
Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic
machine learning algorithm (AutoML).

Erin LeDell

R Interface for the 'H2O' Scalable Machine Learning Platform

Navdeep Gill

Spencer Aiello

Anqi Fu

Arno Candel

Cliff Click

Tom Kraljevic

Tomas Nykodym

Patrick Aboyoun

Michal Kurka

Michal Malohlava

Ludi Rehak

Eric Eckstrand

Brandon Hill

Sebastian Vidrio

Surekha Jadhawani

Amy Wang

Raymond Peck

Wendy Wong

Jan Gorecki

Matt Dowle

Yuan Tang

Lauren DiPerna

H2O.ai 

.skip_if_not_developer function

H2O &lt;-&gt; R Communication and Utility Methods — .skip_if_not_developer

H2O &lt;-&gt; R Communication and Utility Methods

.skip_if_not_developer: H2O <-> R Communication and Utility Methods

Description

Usage

Arguments