The userguide [1] mentions that it is currently not directly possible to
contrain parameters directly but suggest one can use the
ParameterValidator, is there any example code for both mentioned
alternatives?
For example GaussianCurveFitter uses LeastSquaresBuilder and I wan't to
archive that the mean is within a closed bound e.g from 5 to 6 where my
datapoints ranges from 0..90, how would this be archived?
I'm especially interested because the FUNCTION inside
GaussianCurveFitter seems to reject invalid values (e.g. negative
valuenorm) by simply return Double.POSITIVE_INFINITY instead of using
either approach described in the user-docs.
[1]
https://commons.apache.org/proper/commons-math/userguide/leastsquares.html
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