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I see you have written optimization code using Python and Differential Evolution. Scipy has solvers for non-linear equations, however scipy's default initial parameter values are all 1.0. This can be …
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I see on github that you are writing optimization code using Differential Evolution for yabox. When using non-linear solvers such as Levenberg-Marquardt or gradient descent to optimize parameters for …
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I see you are writing Python code for gradient descent optimization. A general problem for gradient descent, particularly for more complex equations, is the choice of initial parameters to start the "…
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I see you are writing Python code using scipy.optimize.curve_fit() which has default starting parameter values of all 1.0 for the Levenber-Marquardt solver. These initial parameter values are not alwa…
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In your discussion of gradient descent, you point out the problem of initial parameter values for the gradient descent's starting point. For this reason, the authors of scipy added a genetic algorithm…
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As mentioned #4 , tests often failed (mostly on python 2.7) due to cholesky decomposition errors. First I thought this was mostly caused by updating the data and calling `optimize()` again, but resett…
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It seems like the dist package could use an interface that all distributions satisfy. Currently it only has ParameterMarshaler, but all of the distributions have:
```
CDF(x float64) float64
Entropy(…
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Following the discussion in #324 , here a project proposal for GPflowOpt. While I was listing the responses to the questions raised in order to describe the project, it got a bit long so I made a docu…
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This issue is part of [this JOSS review](https://github.com/openjournals/joss-reviews/issues/52)
Why not have the random seed as argument of `fusesma.sim` and `fuserouting.sim` and `fuse` (or of `f…
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I'm copying an excerpt of Blake Anderson's email to me describing this bug.
[See attachment.](https://github.com/boozallen/argo/files/376763/VHIE_QPPOs_PPMs_PPBs_20160620.RLB.xlsx)
> During our troub…