natPosition {dbnR} | R Documentation |
R6 class that defines DBNs as vectors of natural numbers
Description
Constructor of the 'natPosition' class
Translate the vector into a DBN network
Uses this object private cl and transforms it into a DBN.
Add a velocity to the position
Given a natVelocity object, add it to the current position.
Return the static node ordering
This function takes as input a dbn and return the node ordering of the variables inside a timeslice. This ordering is needed to understand a position vector.
Translate a DBN into a position vector
This function takes as input a network from a DBN and transforms the structure into a vector of natural numbers if it is a valid DBN. Valid DBNs have only inter-timeslice edges and only allow variables in t_0 to have parents.
Generates a random position
This function takes as input the number of variables, the maximum size and the parameter p and returns a random position with arcs sampled either from the uniform distribution or from a truncated geometric distribution. Much faster than the binary implementation with lists of lists and random bn generation into translation.
Recount the number of arcs in the cl
Arguments
nodes |
a vector with the names of the nodes |
ordering |
a vector with the names of the nodes in t_0 |
ordering_raw |
a vector with the names of the nodes without the appended "_t_0" |
max_size |
Maximum number of timeslices of the DBN |
vl |
a natVelocity object |
net |
a dbn object |
n_vars |
the number of variables in t_0 |
p |
the parameter of the truncated geometric sampler. If lesser or equal to 0, a uniform distribution will be used instead. |
Details
A natPosition represents a single HO-DBN structure with a vector. Its function is to encode the solutions in the PSO framework. Each particle will have a position.
Value
A new 'natPosition' object
a dbn object
the ordering of the nodes in t_0
a random position
the number of arcs
Fields
n_arcs
Number of arcs in the network
max_size
Maximum number of timeslices of the DBN
p
Parameter of the sampling truncated geometric distribution
nodes
Names of the nodes in the network