h2o.logAndEcho

This is helpful when running several pieces of work one after the other on a single H2O
cluster and you want to make a notation in the H2O server side log where one piece of
work ends and the next piece of work begins.

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 (GLM), Gradient Boosting Machines (including XGBoost), Random Forests,
Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes,
Generalized Additive Models (GAM), ANOVA GLM, Cox Proportional Hazards, K-Means, PCA, ModelSelection,
Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).

Tomas Fryda

R Interface for the 'H2O' Scalable Machine Learning Platform

Erin LeDell

Navdeep Gill

Spencer Aiello

Anqi Fu

Arno Candel

Cliff Click

Tom Kraljevic

Tomas Nykodym

Patrick Aboyoun

Michal Kurka

Michal Malohlava

Sebastien Poirier

Wendy Wong

Ludi Rehak

Eric Eckstrand

Brandon Hill

Sebastian Vidrio

Surekha Jadhawani

Amy Wang

Raymond Peck

Jan Gorecki

Matt Dowle

Yuan Tang

Lauren DiPerna

Veronika Maurerova

H2O.ai 

h2o.logAndEcho function

<dl><dt>message</dt>
<dd>A character string with the message to write to the log.</dd></dl>

Arguments

Log a message on the server-side logs — h2o.logAndEcho

<dl>

<dt>message</dt>
<dd>A character string with the message to write to the log.</dd>

</dl>

Log a message on the server-side logs

h2o.logAndEcho: Log a message on the server-side logs

Description

Usage

Arguments

Details