R/vae_predict.R
vae_predict.Rd
Predict y using VAEReg (via latent z -> y_head)
vae_predict(model, X)
Python VAEReg
matrix
Numeric vector of predicted values.
if (FALSE) { # \dontrun{ vae_configure() X <- matrix(rnorm(200), nrow = 20, ncol = 10) y <- rnorm(20) model <- vae_build(input_dim = ncol(X)) vae_fit(model, X, y, epochs = 5L) preds <- vae_predict(model, X) } # }