Retrieve the centroid statistics. If "train" and "valid" parameters are FALSE (default), then the training centroid stats value is returned. If more than one parameter is set to TRUE, then a named list of centroid stats data frames are returned, where the names are "train" or "valid" For cross validation metrics this statistics are not available.
h2o.centroid_stats(object, train = FALSE, valid = FALSE)
object | An H2OClusteringModel object. |
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train | Retrieve the training centroid statistics |
valid | Retrieve the validation centroid statistics |
# 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.centroid_stats(km, train = TRUE) # }