Comments (1)
Implementation of this helper class committed in claudiofantacci@4bf9d01.
I'm not satisfied with it and I think I will make improvements before merging everything into master.
For example, I'm still thinking about whether keeping all the implicit conversion (useful to have simple instructions like int int_data = parameter_container["a label"]
) or to replace them with explicit type cast (e.g. int int_data = parameter_container["a label"].as_int()
). The second is more verbose but probably safer and transparent from the user perspective.
Also, conversions are currently not safe at runtime and throw when the required required type is not the one stored.
from bayes-filters-lib.
Related Issues (20)
- Cannot call non-cost methods from `predictedMeasure` of `MeasurementModel` class HOT 1
- Update branch protection rules and remove Ubuntu 18.04 HOT 1
- Uncoherent `skip`-related variable value in `*Prediction` classes HOT 1
- Move assignment operators do not check for self assignment
- Output GaussianMixture in sigma_point::unscented_transform does not reflect the internal composition of the measurement vector HOT 3
- Fixed-size vectorizable Eigen matrices in WhiteNoiseAcceleration HOT 13
- Move `ExogenousModel` inside `StateModel`s classes HOT 2
- Double check protected data member HOT 3
- Implement multiple-measurement facilities
- Rethink and reimplement `getOutputState`
- Update implementation of `FilteringAlgorithm` and derived classes
- Avoid (or not) default implementation of method `MeasurementModel::getNoiseCovarianceMatrix` HOT 1
- Cholesky update
- bfl::Gaussian::resize hides overloaded virtual function
- Clean CHANGELOG.md HOT 1
- Switch from current CI system to GitHub actions HOT 2
- About the const-ness of some methods of class MeasurementModel HOT 4
- Provide a mechanism for measurement / predicted measurement invalidation
- Building Library on Windows HOT 4
- Remove custom FindEigen3.cmake HOT 1
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from bayes-filters-lib.