# NOT RUN {
library(h2o)
h2o.init()
prostate_path = system.file("extdata", "prostate.csv", package = "h2o")
prostate = h2o.importFile(path = prostate_path)
prostate_dl = h2o.deeplearning(x = 3:9, y = 2, training_frame = prostate,
hidden = c(100, 200), epochs = 5)
prostate_deepfeatures_layer1 = h2o.deepfeatures(prostate_dl, prostate, layer = 1)
prostate_deepfeatures_layer2 = h2o.deepfeatures(prostate_dl, prostate, layer = 2)
head(prostate_deepfeatures_layer1)
head(prostate_deepfeatures_layer2)
#if (h2o.deepwater.available()) {
# prostate_dl = h2o.deepwater(x = 3:9, y = 2, backend="mxnet", training_frame = prostate,
# hidden = c(100, 200), epochs = 5)
# prostate_deepfeatures_layer1 =
# h2o.deepfeatures(prostate_dl, prostate, layer = "fc1_w")
# prostate_deepfeatures_layer2 =
# h2o.deepfeatures(prostate_dl, prostate, layer = "fc2_w")
# head(prostate_deepfeatures_layer1)
# head(prostate_deepfeatures_layer2)
#}
# }
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