Create setting for DeepNN model

setDeepNN(units = list(c(128, 64), 128), layer_dropout = c(0.2),
lr = c(1e-04), decay = c(1e-05), outcome_weight = c(1),
batch_size = c(100), epochs = c(100), seed = NULL)

## Arguments

units The number of units of the deep network - as a list of vectors The layer dropout rate (regularisation) Learning rate Learning rate decay over each update. The weight of the outcome class in the loss function The number of data points to use per training batch Number of times to iterate over dataset Random seed used by deep learning model

## Examples

# NOT RUN {
model <- setDeepNN()
# }