Enable Progress Bar
h2o.show_progress()
if (FALSE) { library(h2o) h2o.init() h2o.no_progress() f <- "https://h2o-public-test-data.s3.amazonaws.com/smalldata/iris/iris_wheader.csv" iris <- h2o.importFile(f) iris["class"] <- as.factor(iris["class"]) predictors <- c("sepal_len", "sepal_wid", "petal_len", "petal_wid") splits <- h2o.splitFrame(iris, ratios = 0.8, seed = 1234) train <- splits[[1]] valid <- splits[[2]] h2o.show_progress() iris_km <- h2o.kmeans(x = predictors, training_frame = train, validation_frame = valid, k = 10, estimate_k = TRUE, standardize = FALSE, seed = 1234) }