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probPrime in GaussianFactorGraph applies a 0.5 constant to the error, however each factor already applies 0.5 when computing its error, so the extra 0.5 is wrong.
Steps to reproduce
We can reproduce this with a simple unit test on a JacobianFactor.
Expected behavior
The probPrime should be correct.
Environment
Additional information
The text was updated successfully, but these errors were encountered:
Description
probPrime
inGaussianFactorGraph
applies a 0.5 constant to the error, however each factor already applies 0.5 when computing its error, so the extra 0.5 is wrong.Steps to reproduce
We can reproduce this with a simple unit test on a
JacobianFactor
.Expected behavior
The
probPrime
should be correct.Environment
Additional information
The text was updated successfully, but these errors were encountered: