h2o.tot_withinss function

Get the total within cluster sum of squares.

Get the total within cluster sum of squares.

If "train", "valid", and "xval" parameters are FALSE (default), then the training tot_withinss value is returned. If more than one parameter is set to TRUE, then a named vector of tot_withinss' are returned, where the names are "train", "valid" or "xval".

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

Arguments

  • object: An H2OClusteringModel object.
  • train: Retrieve the training total within cluster sum of squares
  • valid: Retrieve the validation total within cluster sum of squares
  • xval: Retrieve the cross-validation total within cluster sum of squares

Examples

## 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.tot_withinss(km, train = TRUE) ## End(Not run)
  • Maintainer: Tomas Fryda
  • License: Apache License (== 2.0)
  • Last published: 2024-01-11

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