h2o.null_deviance

An <a href="/link/?package=h2o&version=3.10.5.3" data-mini-rdoc="h2o::"></a> or <a href="/link/?package=h2o&version=3.10.5.3" data-mini-rdoc="h2o::"></a>

object

Retrieve the training null deviance

train

Retrieve the validation null deviance

valid

Retrieve the cross-validation null deviance

xval

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

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.null_deviance function

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

Retrieve the null deviance
If "train", "valid", and "xval" parameters are FALSE (default), then the training null deviance value is returned. If more
than one parameter is set to TRUE, then a named vector of null deviances are returned, where the names are "train", "valid"
or "xval". — h2o.null_deviance

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

Description

Usage

Arguments