/**
* Constructs a synthetic oracle for data generated from a Bayesian network.
* @param vector_var_order vector variables for dataset features
* @param class_variable finite variable for class
* @param var_type_order order of variable types
*/
explicit syn_oracle_bayes_net(const bayesian_network<Factor>& bn,
parameters params = parameters())
: base(bn.arguments(), vector_var_vector(),
std::vector<variable::variable_typenames>
(bn.arguments().size(), variable::FINITE_VARIABLE)),
params(params), bn(bn),
current_rec(finite_numbering_ptr_, vector_numbering_ptr_, dvector) {
rng.seed(static_cast<unsigned>(params.random_seed));
}
//! Throws an assertion violation if the DBN is not valid
void check_valid() const {
// The arguments at the current and next time step
domain_type vars_t = arguments(processes(), current_step);
domain_type vars_t1 = arguments(processes(), next_step);
// Check the prior and the transition model
assert(prior.arguments() == vars_t);
assert(is_superset(transition.arguments(),vars_t1));
assert(is_subset(transition.arguments(), set_union(vars_t, vars_t1)));
}
