Conduct a lag 1 transform on a numeric H2OFrame column

h2o.difflag1(object)

Arguments

object

H2OFrame object

Value

Returns an H2OFrame object.

Examples

# NOT RUN {
library(h2o)
h2o.init()

f <- "https://s3.amazonaws.com/h2o-public-test-data/smalldata/junit/cars_20mpg.csv"
cars <- h2o.importFile(f)
predictors <- c("displacement", "power", "weight", "acceleration", "year")
response <- "cylinders"
cars_split <- h2o.splitFrame(data = cars, ratios = 0.8, seed = 1234)
train <- cars_split[[1]]
valid <- cars_split[[2]]
cars_gbm <- h2o.gbm(x = predictors, y = response, training_frame = train,
                    validation_frame = valid, nfolds = 5, seed = 1234)
h2o.difflag1(cars["cylinders"])
# }