Slide 66
Slide 66 text
H2O Deeplearning
library(h2o)
# Deep learningͰֶशͤ͞Δ
localH2O <- h2o.init(ip = "localhost", port = 54321, startH2O = TRUE,
nthreads=-1)
res.dl <- h2o.deeplearning(x = 2:10001, y = 1, training_frame = as.h2o(target),
activation = "TanhWithDropout", hidden=rep(160,5), epochs = 20)
pred.dl <- h2o.predict(object=res.dl, newdata = as.h2o(target))
pred <- as.data.frame(pred.dl)
# ਖ਼ղΛ֬ೝ
print(1-sum(abs(round(pred[,1]) - target[,1]))/length(target[,1]))
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