h2o.residual_deviance

An <a href="/link/?package=h2o&version=3.10.3.6" data-mini-rdoc="h2o::"></a> or <a href="/link/?package=h2o&version=3.10.3.6" data-mini-rdoc="h2o::"></a>

object

train

Retrieve the validation residual deviance

valid

Retrieve the cross-validation residual deviance

xval

Retrieve the residual deviance
If &quot;train&quot;, &quot;valid&quot;, and &quot;xval&quot; parameters are FALSE (default), then the training residual deviance value is returned. If more
than one parameter is set to TRUE, then a named vector of residual deviances are returned, where the names are &quot;train&quot;, &quot;valid&quot;
or &quot;xval&quot;.

R scripting functionality for H2O, the open source
math engine for big data that computes parallel distributed
machine learning algorithms such as generalized linear models,
gradient boosting machines, random forests, and neural networks
(deep learning) within various cluster environments.

Tom Kraljevic

R Interface for H2O

h2o.residual_deviance function

An <a href='H2OModel'></a> or <a href='H2OModelMetrics'></a>

h2o.residual_deviance: Retrieve the residual deviance

Description

Usage

Arguments