m <-
h2o.deeplearning(x, y, train, nfolds = 10, model_id = "DL_defaults")
tuned deeplearning
m <- h2o.deeplearning(x,
y,
train,
nfolds = 10,
model_id = "DL_best",
activation = "Tanh",
hidden = c(162,162),
stopping_metric = "MSE",
stopping_tolerance = 0.0005,
stopping_rounds = 5,
epochs = 20000,
train_samples_per_iteration = 0,
score_interval = 3)
