h2o.residual_dof

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 residual degrees of freedom

train

Retrieve the validation residual degrees of freedom

valid

Retrieve the cross-validation residual degrees of freedom

xval

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

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

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

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

Description

Usage

Arguments