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EmrysFilter 0.1.0
State estimation utilities in C++23 using Eigen
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The result of updating a CategoricalParams by an emission model: the posterior, whose weights sum to one, and the log-evidence of the measurement. More...
#include <EmrysFilter/Models/Emission.h>
Public Attributes | |
| CategoricalParams< Space, Scalar > | posterior |
| the distribution given the measurement | |
| Scalar | logEvidence |
| \( \log p(z) = \log \sum_v p_v\, p(z \mid v) \) | |
The result of updating a CategoricalParams by an emission model: the posterior, whose weights sum to one, and the log-evidence of the measurement.
| Space | the discrete space |
| Scalar | scalar type of the probabilities |