bottomN function will will grab the bottom N percent of values of a column and return it in a H2OFrame. Extract the top N percent of values of a column and return it in a H2OFrame.
h2o.bottomN(x, column, nPercent)
x | an H2OFrame |
---|---|
column | is a column name or column index to grab the top N percent value from |
nPercent | is a bottom percentage value to grab |
An H2OFrame with 2 columns. The first column is the original row indices, second column contains the bottomN values
# NOT RUN { library(h2o) h2o.init() f1 <- "https://s3.amazonaws.com/h2o-public-test-data/bigdata/laptop/jira/TopBottomNRep4.csv.zip" f2 <- "https://s3.amazonaws.com/h2o-public-test-data/smalldata/jira/Bottom20Per.csv.zip" data_Frame <- h2o.importFile(f1) bottom_Answer <- h2o.importFile(f2) nPercent <- c(1, 2, 3, 4) frame_Names <- names(data_Frame) nP <- nPercent[sample(1:length(nPercent), 1, replace = FALSE)] col_Index <- sample(1:length(frame_Names), 1, replace = FALSE) h2o.bottomN(data_Frame, frame_Names[col_Index], nP) # }