q_constraint {ML2Pvae} | R Documentation |
A custom kernel constraint function that restricts weights between the learned distribution and output. Nonzero weights are determined by the Q matrix.
q_constraint(Q)
Q |
a binary matrix of size |
returns a function whose parameters match keras kernel constraint format