## Not run:
# # randomly partition data into a 'training' and 'test'
# # dataset, with 60% of the observations assigned to the
# # 'training' dataset, and 40% assigned to the 'test' dataset
# data(diamonds, package = "ggplot2")
# diamonds_tbl <- copy_to(sc, diamonds, "diamonds")
# partitions <- diamonds_tbl %>%
# sdf_partition(training = 0.6, test = 0.4)
# print(partitions)
#
# # alternate way of specifying weights
# weights <- c(training = 0.6, test = 0.4)
# diamonds_tbl %>% sdf_partition(weights = weights)
# ## End(Not run)
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