Get the between cluster sum of squares. If "train", "valid", and "xval" parameters are FALSE (default), then the training betweenss value is returned. If more than one parameter is set to TRUE, then a named vector of betweenss' are returned, where the names are "train", "valid" or "xval".
Arguments
- object
An H2OClusteringModel object.
- train
Retrieve the training between cluster sum of squares
- valid
Retrieve the validation between cluster sum of squares
- xval
Retrieve the cross-validation between cluster sum of squares
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.betweenss(km, train = TRUE)
} # }