Conduct a lag 1 transform on a numeric H2OFrame column
h2o.difflag1(object)
object | H2OFrame object |
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Returns an H2OFrame object.
if (FALSE) { 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"]) }