h2o.null_dof

An <a href="/link/?package=h2o&version=3.10.5.2" data-mini-rdoc="h2o::"></a> or <a href="/link/?package=h2o&version=3.10.5.2" data-mini-rdoc="h2o::"></a>

object

Retrieve the training null degrees of freedom

train

Retrieve the validation null degrees of freedom

valid

Retrieve the cross-validation null degrees of freedom

xval

Retrieve the null degrees of freedom
If "train", "valid", and "xval" parameters are FALSE (default), then the training null degrees of freedom value is returned. If more
than one parameter is set to TRUE, then a named vector of null degrees of freedom 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_dof function

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

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

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

Description

Usage

Arguments