h2o.cluster_sizes

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

object

Retrieve the training cluster sizes

train

Retrieve the validation cluster sizes

valid

Retrieve the cross-validation cluster sizes

xval

Retrieve the cluster sizes
If "train", "valid", and "xval" parameters are FALSE (default), then the training cluster sizes value is returned. If more
than one parameter is set to TRUE, then a named list of cluster size vectors 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.cluster_sizes function

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

Retrieve the cluster sizes
If "train", "valid", and "xval" parameters are FALSE (default), then the training cluster sizes value is returned. If more
than one parameter is set to TRUE, then a named list of cluster size vectors are returned, where the names are "train", "valid"
or "xval". — h2o.cluster_sizes

Retrieve the cluster sizes
If "train", "valid", and "xval" parameters are FALSE (default), then the training cluster sizes value is returned. If more
than one parameter is set to TRUE, then a named list of cluster size vectors are returned, where the names are "train", "valid"
or "xval".

Description

Usage

Arguments