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".
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
if (FALSE) { # \dontrun{
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)
} # }