different_sigmas Namespace Reference

Variables
const HybridBayesNet	bayesNet {wrap(gc), wrap(hgc), wrap(prior)}
const auto	gc
const auto	hgc = std::make_shared<HybridGaussianConditional>(Asia, X(1), parms)
const std::vector< std::pair< Vector, double > >	parms
const auto	prior = std::make_shared<DiscreteConditional>(Asia, "99/1")
HybridValues	values {{{X(0), Vector1(-6)}, {X(1), Vector1(1)}}, {{asiaKey, 0}}}
auto	wrap

Variable Documentation

bayesNet

const HybridBayesNet different_sigmas::bayesNet {wrap(gc), wrap(hgc), wrap(prior)}

Definition at line 242 of file testHybridBayesNet.cpp.

gc

const auto different_sigmas::gc

Initial value:

= GaussianConditional::sharedMeanAndStddev(X(0), 2 * I_1x1, X(1),
                                                         Vector1(-4.0), 5.0)

Definition at line 231 of file testHybridBayesNet.cpp.

hgc

const auto different_sigmas::hgc = std::make_shared<HybridGaussianConditional>(Asia, X(1), parms)

Definition at line 236 of file testHybridBayesNet.cpp.

parms

const std::vector<std::pair<Vector, double> > different_sigmas::parms

Initial value:

{{Vector1(5), 2.0},
                                                   {Vector1(2), 3.0}}

Definition at line 234 of file testHybridBayesNet.cpp.

prior

const auto different_sigmas::prior = std::make_shared<DiscreteConditional>(Asia, "99/1")

Definition at line 238 of file testHybridBayesNet.cpp.

values

HybridValues different_sigmas::values {{{X(0), Vector1(-6)}, {X(1), Vector1(1)}}, {{asiaKey, 0}}}

Definition at line 245 of file testHybridBayesNet.cpp.

wrap

auto different_sigmas::wrap

Initial value:

= [](const auto& c) {
  return std::make_shared<HybridConditional>(c);
}

Definition at line 239 of file testHybridBayesNet.cpp.