random_tnn

mlTreeNeuralNetwork.random_tnn : (term * int list) list -> tnn

Creates a random tree neural network (TNN) with the precised dimensions for each neural network operators.

To create an initial TNN, the user first needs to gather all operators (constants or variables) appearing in the examples. Then, given an embedding dimension d, for each operator f with arity a the list of dimensions of is to be defined as [a x d,u1,...,uk,d]. The natural numbers u1,...,uk are sizes of the intermediate layers that can be freely chosen by the user. In the case of a head operator h, the input dimension is to be d and the output dimension is to be the length of the objective l.

Failure

Fails if the list of dimensions is empty.

Example

- val tnn = 
    random_tnn [(``h: bool -> bool``,[4,10,1]),(``$~``,[4,8,4]),(F,[0,4])];
> val tnn = <Redblackmap(3)>: tnn

Comments

Precising a list of dimensions of length 1 results in an unusable empty neural network for this operator.

See also

mlTreeNeuralNetwork.train_tnn