Usage
vae_fit(
model,
X,
y,
X_val = NULL,
y_val = NULL,
epochs = 80L,
batch_size = 64L,
patience = 10L,
verbose = 0L
)
Arguments
- model
Python VAEReg object from vae_build()
- X
matrix (n x p)
- y
numeric vector (n)
- X_val
optional matrix
- y_val
optional numeric vector
- epochs
integer
- batch_size
integer
- patience
integer for early stopping (only if validation provided)
- verbose
0/1/2
Value
The fitted model, invisibly.