Josiann: Just anOther SImulated ANNealing
Josiann is a Python library which implements the simulated annealing algorithm for noisy cost functions. It has support for vectorized functions, multiprocessing and provides a parallel mode for optimizing several similar but independent problems at once.
Source code (CeCILL-B): https://github.com/Vidium/josiann
Documentation: https://josiann.readthedocs.io/en/latest/index.html
Installation
Josiann requires Python 3.8+ to run and relies on the following libraries :
- Numpy
- attrs
- tqdm
Pip installation
pip install josiann
Optional diagnostic plots need the library plotly to be generated. You can install it alongside with Josiann :
pip install josiann[plot]
Examples
Several examples of using Josiann can be found in the docs/tutorials folder.
1 maintainer
Metadata
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Release files for josiann 1.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| josiann-1.2.0.tar.gz | 42.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| josiann-1.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 116.7 kB
Release files / josiann-1.2.0.tar.gz
| Download URL | josiann-1.2.0.tar.gz |
|---|---|
| Size | 42.9 kB |
| Tags | Source |
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Release files / josiann-1.2.0-py3-none-any.whl
| Download URL | josiann-1.2.0-py3-none-any.whl |
|---|---|
| Size | 73.8 kB |
| Tags | Python 3 |
|
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