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 =
mlTreeNeuralNetwork.random_tnn [(``h: bool -> bool``,[4,10,1]),(``$~``,[4,8,4]),(F,[0,4])];
val tnn = <Redblackmap(3)>: mlTreeNeuralNetwork.tnn
Comments
Precising a list of dimensions of length 1 results in an unusable empty neural network for this operator.