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h2o (version 3.40.0.4)

h2o.totss: Get the total sum of squares.

Description

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".

Usage

h2o.totss(object, train = FALSE, valid = FALSE, xval = FALSE)

Arguments

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

Examples

Run this code
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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