h2o.tot_withinss

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

object

Retrieve the training total within cluster sum of squares

train

Retrieve the validation total within cluster sum of squares

valid

Retrieve the cross-validation total within cluster sum of squares

xval

Get the total within cluster sum of squares.
If "train", "valid", and "xval" parameters are FALSE (default), then the training tot_withinss value is returned. If more
than one parameter is set to TRUE, then a named vector of tot_withinss' 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.tot_withinss function

An <a href='H2OClusteringModel'></a> object.

Get the total within cluster sum of squares.
If "train", "valid", and "xval" parameters are FALSE (default), then the training tot_withinss value is returned. If more
than one parameter is set to TRUE, then a named vector of tot_withinss' are returned, where the names are "train", "valid"
or "xval". — h2o.tot_withinss

Get the total within cluster sum of squares.
If "train", "valid", and "xval" parameters are FALSE (default), then the training tot_withinss value is returned. If more
than one parameter is set to TRUE, then a named vector of tot_withinss' are returned, where the names are "train", "valid"
or "xval".

Description

Usage

Arguments