h2o_higgs_simple_demo.R

# install.packages("h2o", type="source", repos=(c("http://h2o-release.s3.amazonaws.com/h2o/rel-slater/5/R")))

library(h2o)
localH2O <- h2o.init(ip = "XX.XX.XX.XX", port = 54321)

#higgs <- h2o.importFile("/home/0xdiag/datasets/higgs/HIGGS.csv", destination_frame = "higgs")  #Local copy
higgs <- h2o.importFile("http://archive.ics.uci.edu/ml/machine-learning-databases/00280/HIGGS.csv.gz", destination_frame = "higgs")
dim(higgs)  #11M x 29

higgs$C1 <- as.factor(higgs$C1)  #Encode response as categorical
split <- h2o.splitFrame(data = higgs, ratios = 0.7) 
train <- split[[1]]
test <- split[[2]]
dim(train)
dim(test)

y <- "C1"
x <- setdiff(names(train), y)

fit1 <- h2o.glm(x = x, y = y, 
               training_frame = train,
               validation_frame = test,
               family = "binomial")

h2o.auc(fit1, valid = TRUE)  #AUC = 0.684434

fit2 <- h2o.deeplearning(x = x, y = y, 
                         training_frame = train,
                         validation_frame = test,
                         distribution = "bernoulli")

h2o.auc(fit2, valid = TRUE)  #AUC = 0.837863

Hello how are you? I am trying to run the exact same code mentioned above but getting an error 2: priorDistribution output field is no longer supported
3: In .dep.model(m) : classification is no longer a supported output field.. Please help