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Attempt to make a piece of code that can adjust multiple paramters for the model (eg. rate constant k and k2 and a mass transfer parameter) to fit a set of experimental data. If possible fit to multip…
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### Is your feature request related to a problem? Please describe.
In gh-16191, it was suggested that `curve_fit` might benefit from an option to use global optimization.
### Describe the solution …
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I am setting max_nfev to 1 in the least_squares method, so that I can debug something downstream of that method call. I expect my objective function to be called only once, but the optimization proces…
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Can we hook EKP.jl into that project? We could then calibrate using DiffEqFlux.jl.
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Hi team,
I used Ceres solver for solving non linear least squares problems and the optimization looks fine, However, there is a glitch that NumSuccessfulSteps is alway num_iter + 1. For example, i…
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see http://stackoverflow.com/questions/17979563/maximum-likelihood-curve-model-fitting-in-python
`This question was voluntarily removed by its author`
essentially MIA, and miscmodels.nonlinls.py look…
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* Nelson-Siegel-Svensson Model version:
* Python version: 3.8
* Operating System: Windows
### Description
Tau gets negative in optimization-> produces massive values for factors, least squares…
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I used coursera-dl now and I found that a week from one course I want to download has the following structure
```
Processing module simple-linear-regression
Processing section regression-fundame…
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### 📚 The doc issue
In the provided examples, the least square problem optimizes over all the parameters. However, in some applications, parts of the parameters are from the neural network and should…
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The outputs from the test run of `leastsqtobayes`, as described in the "testing" section of `README.md`, do not exactly match the expected solutions provided by the computer-algebra script, with a par…