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(object, train = FALSE, valid = FALSE, xval = FALSE)
object | An H2OClusteringModel object. |
---|---|
train | Retrieve the training cluster sizes |
valid | Retrieve the validation cluster sizes |
xval | Retrieve the cross-validation cluster sizes |
# 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) # }