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