R/vae_predict.R
vae_encode.Rd
Extract latent embeddings (z) from VAEReg
vae_encode(model, X)
Python VAEReg
matrix
Matrix of latent embeddings (samples x latent_dim).
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) z <- vae_encode(model, X) } # }