Get the total sum of squares.
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)
object |
An H2OClusteringModel object. |
train |
Retrieve the training total sum of squares |
valid |
Retrieve the validation total sum of squares |
xval |
Retrieve the cross-validation total sum of squares |
## 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.totss(km, train = TRUE)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.