rfvbm {BoltzMM} | R Documentation |
Generate N random strings of n>1 binary spin variables (i.e. each element is -1 or 1) arising from a fully-visible Boltzmann machine with some specified bias vector and interaction matrix.
rfvbm(num, bvec, Mmat)
num |
Number N of random strings to be generated. |
bvec |
Vector of length n containing real valued bias parameters. |
Mmat |
Symmetric n by n matrix, with zeros along the diagonal, containing the interaction parameters. |
An N by n matrix, where each row contains a random spin variable string from a fully-visible Boltzmann machine with bias vector bvec
and interaction matrix Mmat
.
The function allpfvbm
must be called each time this function is run. Thus, it is much more efficient to generate N strings all at once, than to generate strings one at a time.
Andrew T. Jones and Hien D. Nguyen
H.D. Nguyen and I.A. Wood (2016), Asymptotic normality of the maximum pseudolikelihood estimator for fully-visible Boltzmann machines, IEEE Transactions on Neural Networks and Learning Systems, vol. 27, pp. 897-902.
# Generate num=10 random strings of n=3 binary spin variables under bvec and Mmat. num <- 10 bvec <- c(0,0.5,0.25) Mmat <- matrix(0.1,3,3) - diag(0.1,3,3) rfvbm(num,bvec,Mmat)