Model — new_model_class • keras3

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()
)

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.

Value

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