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(Just a vague idea about how this can be incorporated in a generic way.)
Kerby uses parameter classes in several model, mainly to handle various transformations.
mlefit uses parameter classes includi…
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currently there is a 2d solver, but we require a 3d solver and soon will require higher-dimensions:
- [x] #1210 `newton_step()` method that dispatches among {1d, 2d, 3d, nd}.
- [x] #1210 `newton_ste…
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(random idea for evaluating how well a distribution matches the data)
In GLM models like tweedie or gamma or Poisson, the error is not additive as in a gaussian model (linear or nonlinear least squ…
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[ICML 2023 Workshop SPIGM homepage](https://openreview.net/group?id=ICML.cc/2023/Workshop/SPIGM)
```bib
@inproceedings{
wang-henderson2023graph,
title={Graph Neural Network Powered Bayesian Opt…
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Does math.net numerics have any methods to solve a non-linear system of equations F(x) = 0, namely Ax=b where A=A(x) and/or b=b(x)? The system of course must be solved iteratively and I see there are…
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Add R2 for nls fits
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I'm willing to spearhead a module or set of modules containing:
* general constrained and unconstrained nonlinear optimization (sqp, global optimization, etc.)
* nonlinear equation solving (newt…
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We're doing a lot in SciML towards a new curve fit interface, but I think this package has good bones. We're really focused on the nonlinear fitting aspect, and I think it would be a shame to have the…
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**Is your feature request related to a problem? Please describe.**
- Calibration of a large number of measurements can still requires a large amount of memory. The current suggested approach is to ca…
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We should be concerned about reporting negative "R^2" values, as this doesn't really work with the formal definition of R^2. Users are have reported these values as incorrect (e.g. [PUBDEV-4082|https…