estimagic
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OpenSourceEconomics
Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to p...
Add type hints to estimagic. Look [here](https://sethmlarson.dev/blog/2021-10-18/tests-arent-enough-case-study-after-adding-types-to-urllib3) for tips.
## Problem description We have some local optimizers that can deal with some level of noise (pounders, pybobyqa and dfols) but they fail on very noisy problems such as our...
Hey there, I am trying to run a gradient-based algorithm with multistart of my jit compatible code in parallel. Can I use estimagic's parallelisation using 'nprocs' via `joblib` or `pathos`...
Add dark mode logo to the navigation bar and on the main index page. - [x] navigation bar - [x] index page - [ ] Remove white boxes around logos...
- [ ] Add a docs improvement issues template - [ ] Explain what `n_samples` does in `LikelihoodResult.se()` (It says to look at the [implementation of constraints](https://estimagic.readthedocs.io/en/latest/explanations/optimization/implementation_of_constraints.html#implementation-of-constraints), but glancing over...
* estimagic version used, if any: dev (main branch) * Python version, if any: 3.10 * Operating System: Windows ### What would you like to enhance and why? Is it...
### Bug description Surface Level: When the parameters are a nested series, (using numerical differensiation and "scipy_slsqp"). The function calls works as intended. But after a few calls, the code...
* estimagic version used, if any: 0.4.6 * Python version, if any: 3.11 * Operating System: Linux ### What would you like to enhance and why? Is it related to...
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Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to p...