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Edit: On hold... So apparently `Pkg.update` is really giving me a hard time today. JuMP is suddenly version 0.11.3, and the segfaults happened because it took me back to master from develop. Now I can…
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When using the scipy.optimize "nelder-mead" method it is currently not possible to specify the initial simplex values. Instead scipy automatically sets this to be (1+0.05)*x0. If a priori information …
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I'm not sure if the name is great because a scikits.optimization exists....
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@KalleLeppala, when I run this code on the baboon data I get an error in the fitting code. Some months ago I could fit the graph but apparently not any longer. Do you have any idea what is going on?
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I'm trying to follow along how the matching algorithm works because it is a beautiful problem and Hoot is my only example. The Algorithms document references
Linna Li, M. F. (2011). An optimisation …
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two things:
1) optim doesn't like -Inf as objective fun value; probably just replace -Inf in MCEM cCalc_E_llk$run() with -1e307.
2) for this example, it's not moving away from starting point. Works i…
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Hi,
I'm running into a very strange issue where method.AUC works the first time it's used in a SuperLearner, but the second or later times it returns coefficients that are outside [0, 1] and result i…
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Moved from https://github.com/odlgroup/odl-solvers/issues/3
I initialized a structure, but it is obviously far from optimal. We need to find sensible categories for solvers, e.g.
- methods for findin…
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I am setting up the following optimization problem (problem occurs with other methods as well, such as nelder mead):
optresult = Optim.optimize((num) -> eqmapping(num,0),vec(param0),method = :cg,fto…
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I found this odd:
> julia> Optim.optimize(norm, [1.0, 1.0])
> Results of Optimization Algorithm
> - Algorithm: Nelder-Mead
> - Starting Point: [1.0,1.0]
> - Minimum: [0.16666666666666666,0.1666666666…