oktopus
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🐙: Maximum likelihood model estimation using scipy.optimize
I was trying to run the 3 examples given on the tutorial page; but they would process because `self.prior` does not exist. So I edited the code to change `self.prior`...
right now it's possible to do: ``` jp = JointPrior(UniformPrior(-1, 1), UniformPrior(-2, 2), ..., GaussianPrior(1, 3)) ``` it would be nice to also support ``` jp_ = JointPrior(jp, Uniform(-3, 2),...
I can create a Gaussian prior with one mean and one variance and Oktopus will still run when passed a function with three variables. It didn't work horribly either. It...
This package has not seen much work in a number of years, but still seems to work stably with recent scipy and numpy versions, including numpy 2.x since a compatible...