Retrieve the centroid statistics. If "train" and "valid" parameters are FALSE (default), then the training centroid stats value is returned. If more than one parameter is set to TRUE, then a named list of centroid stats data frames are returned, where the names are "train" or "valid" For cross validation metrics this statistics are not available.

h2o.centroid_stats(object, train = FALSE, valid = FALSE)

Arguments

object

An H2OClusteringModel object.

train

Retrieve the training centroid statistics

valid

Retrieve the validation centroid statistics

Examples

if (FALSE) {
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.centroid_stats(km, train = TRUE)
}