keras3 (version 1.2.0)

new_model_class: Model

Description

new_model_class() is an alias for Model(). See ?Model() for the full documentation.

Usage

new_model_class(
  classname,
  initialize = NULL,
  call = NULL,
  train_step = NULL,
  predict_step = NULL,
  test_step = NULL,
  compute_loss = NULL,
  compute_metrics = NULL,
  ...,
  public = list(),
  private = list(),
  inherit = NULL,
  parent_env = parent.frame()
)

Value

A model constructor function, which you can call to create an instance of the new model type.

Arguments

classname

String, the name of the custom class. (Conventionally, CamelCase).

initialize, call, train_step, predict_step, test_step, compute_loss, compute_metrics

Optional methods that can be overridden.

..., public

Additional methods or public members of the custom class.

private

Named list of R objects (typically, functions) to include in instance private environments. private methods will have all the same symbols in scope as public methods (See section "Symbols in Scope"). Each instance will have it's own private environment. Any objects in private will be invisible from the Keras framework and the Python runtime.

inherit

What the custom class will subclass. By default, the base keras class.

parent_env

The R environment that all class methods will have as a grandparent.