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I see you are writing Python code for gradient descent optimization. The authors of scipy have added a genetic algorithm for initial parameter estimation for use in gradient descent. The module is nam…
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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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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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In your Python code for gradient descent regression, you use random values as initial parameters for the gradient descent's starting point. This can be suboptimal, and in more complex equations often …
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I saw that you have created a tkinter curve fitter on GitHub and thought you might like to see my Python GUI graphical curve fitter and surface fitter, also on github with a BSD license. The matplotli…
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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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If funders and journals require deposition in this type of repository but these repositories do not allow for any retention or protection of intellectual property, I believe many of the most important…
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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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Hello,
Spatial constraints in bacteria (e.g. localisation of components) are getting a lot of attention, since they affect drastically the performance of a circuit. Should SBOLv represent these?
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> Revision (Should be above if you're viewing this from ingame!)
> 85441cb24f185c96e28a5b5d3e7db36324f2f21d
>
> General description of the issue…