new_autoencoder: Create an autoencoder learner

In fdavidcl/ruta: Implementation of Unsupervised Neural Architectures

Create an autoencoder learner

Description

Internal function to create autoencoder objects. Instead, consider using ⁠\link{autoencoder}⁠.

Usage

new_autoencoder(network, loss, extra_class = NULL)

Arguments

network	Layer construct of class "ruta_network" or coercible
loss	A "ruta_loss" object or a character string specifying a loss function
extra_class	Vector of classes in case this autoencoder needs to support custom methods (for to_keras, train, generate or others)

Value

A construct of class "ruta_autoencoder"

fdavidcl/ruta documentation built on July 5, 2023, 6:32 p.m.