Messed up the indices in an example

nuoncul · Oct 5, 2013 · 2cebcbc · 2cebcbc
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diff --git a/R/h2o-package/demo/h2o.gbm.R b/R/h2o-package/demo/h2o.gbm.R
@@ -12,8 +12,7 @@ print(prostate.gbm)
 prostate.gbm2 = h2o.gbm(x = c("AGE", "RACE", "PSA", "VOL", "GLEASON"), y = "CAPSULE", data = prostate.hex, n.trees = 10, interaction.depth = 8, n.minobsinnode = 10, shrinkage = 0.2)
 print(prostate.gbm2)
 
-#This is a demo of H2O's GBM use of default parameters on iris dataset(three classes)
-
+# This is a demo of H2O's GBM use of default parameters on iris dataset (three classes)
 iris.hex = h2o.importFile(localH2O, system.file("extdata", "iris.csv", package="h2o"), "iris.hex")
 summary(iris.hex)
 iris.gbm = h2o.gbm(x = 1:4, y = 5, data = iris.hex)

diff --git a/R/h2o-package/demo/h2o.randomForest.R b/R/h2o-package/demo/h2o.randomForest.R
@@ -8,7 +8,7 @@ h2o.checkClient(localH2O)
 
 iris.hex = h2o.importFile(localH2O, path = system.file("extdata", "iris.csv", package="h2o"), key = "iris.hex")
 summary(iris.hex)
-iris.rf = h2o.randomForest(y = 4, x = c(1,2,3), data = iris.hex, ntree = 50, depth = 100, classwt = c("Iris-versicolor" = 20.0, "Iris-virginica" = 30.0))
+iris.rf = h2o.randomForest(y = 5, x = c(1,2,3,4), data = iris.hex, ntree = 50, depth = 100, classwt = c("Iris-versicolor" = 20.0, "Iris-virginica" = 30.0))
 print(iris.rf)
 
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