printErrors method for HybridGaussianFactorGraph
parent
4711f5807d
commit
114a0b220b
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@ -74,6 +74,86 @@ const Ordering HybridOrdering(const HybridGaussianFactorGraph &graph) {
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index, KeyVector(discrete_keys.begin(), discrete_keys.end()), true);
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}
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/* ************************************************************************ */
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void HybridGaussianFactorGraph::printErrors(
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const HybridValues &values, const std::string &str,
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const KeyFormatter &keyFormatter,
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const std::function<bool(const Factor * /*factor*/,
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double /*whitenedError*/, size_t /*index*/)>
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&printCondition) const {
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std::cout << str << "size: " << size() << std::endl << std::endl;
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std::stringstream ss;
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for (size_t i = 0; i < factors_.size(); i++) {
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auto &&factor = factors_[i];
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std::cout << "Factor " << i << ": ";
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// Clear the stringstream
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ss.str(std::string());
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if (auto gmf = std::dynamic_pointer_cast<GaussianMixtureFactor>(factor)) {
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if (factor == nullptr) {
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std::cout << "nullptr"
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<< "\n";
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} else {
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factor->print(ss.str(), keyFormatter);
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std::cout << "error = ";
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gmf->error(values.continuous()).print("", DefaultKeyFormatter);
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std::cout << std::endl;
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}
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} else if (auto hc = std::dynamic_pointer_cast<HybridConditional>(factor)) {
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if (factor == nullptr) {
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std::cout << "nullptr"
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<< "\n";
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} else {
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factor->print(ss.str(), keyFormatter);
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if (hc->isContinuous()) {
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std::cout << "error = " << hc->asGaussian()->error(values) << "\n";
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} else if (hc->isDiscrete()) {
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std::cout << "error = ";
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hc->asDiscrete()->error().print("", DefaultKeyFormatter);
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std::cout << "\n";
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} else {
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// Is hybrid
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std::cout << "error = ";
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hc->asMixture()->error(values.continuous()).print();
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std::cout << "\n";
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}
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}
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} else if (auto gf = std::dynamic_pointer_cast<GaussianFactor>(factor)) {
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const double errorValue = (factor != nullptr ? gf->error(values) : .0);
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if (!printCondition(factor.get(), errorValue, i))
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continue; // User-provided filter did not pass
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if (factor == nullptr) {
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std::cout << "nullptr"
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<< "\n";
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} else {
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factor->print(ss.str(), keyFormatter);
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std::cout << "error = " << errorValue << "\n";
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}
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} else if (auto df = std::dynamic_pointer_cast<DiscreteFactor>(factor)) {
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if (factor == nullptr) {
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std::cout << "nullptr"
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<< "\n";
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} else {
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factor->print(ss.str(), keyFormatter);
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std::cout << "error = ";
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df->error().print("", DefaultKeyFormatter);
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std::cout << std::endl;
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}
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} else {
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continue;
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}
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std::cout << "\n";
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}
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std::cout.flush();
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}
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/* ************************************************************************ */
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static GaussianFactorGraphTree addGaussian(
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const GaussianFactorGraphTree &gfgTree,
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@ -96,7 +176,6 @@ static GaussianFactorGraphTree addGaussian(
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// TODO(dellaert): it's probably more efficient to first collect the discrete
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// keys, and then loop over all assignments to populate a vector.
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GaussianFactorGraphTree HybridGaussianFactorGraph::assembleGraphTree() const {
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GaussianFactorGraphTree result;
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for (auto &f : factors_) {
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@ -140,9 +140,19 @@ class GTSAM_EXPORT HybridGaussianFactorGraph
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/// @{
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// TODO(dellaert): customize print and equals.
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// void print(const std::string& s = "HybridGaussianFactorGraph",
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// const KeyFormatter& keyFormatter = DefaultKeyFormatter) const
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// override;
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// void print(
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// const std::string& s = "HybridGaussianFactorGraph",
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// const KeyFormatter& keyFormatter = DefaultKeyFormatter) const override;
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void printErrors(
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const HybridValues& values,
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const std::string& str = "HybridGaussianFactorGraph: ",
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const KeyFormatter& keyFormatter = DefaultKeyFormatter,
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const std::function<bool(const Factor* /*factor*/,
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double /*whitenedError*/, size_t /*index*/)>&
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printCondition =
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[](const Factor*, double, size_t) { return true; }) const;
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// bool equals(const This& fg, double tol = 1e-9) const override;
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/// @}
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