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If "train", "valid", and "xval" parameters are FALSE (default), then the training totss value is returned. If more than one parameter is set to TRUE, then a named vector of totss' are returned, where the names are "train", "valid" or "xval".
h2o.totss(object, train = FALSE, valid = FALSE, xval = FALSE)
An H2OClusteringModel object.
Retrieve the training total sum of squares
Retrieve the validation total sum of squares
Retrieve the cross-validation total sum of squares
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.totss(km, train = TRUE)
}
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