h2o.cluster_sizes: Retrieve the cluster sizes

In h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

Retrieve the cluster sizes

Description

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".

Usage

h2o.cluster_sizes(object, train = FALSE, valid = FALSE, xval = FALSE)

Arguments

object	An H2OClusteringModel object.
train	Retrieve the training cluster sizes
valid	Retrieve the validation cluster sizes
xval	Retrieve the cross-validation cluster sizes

Examples

## Not run: 
library(h2o)
h2o.init()
fr <- h2o.importFile("https://h2o-public-test-data.s3.amazonaws.com/smalldata/iris/iris_train.csv")
predictors <- c("sepal_len", "sepal_wid", "petal_len", "petal_wid")
km <- h2o.kmeans(x = predictors, training_frame = fr, k = 3, nfolds = 3)
h2o.cluster_sizes(km, train = TRUE)

## End(Not run)

h2o documentation built on May 29, 2024, 4:26 a.m.