Noisyopt is a library for local optimization of noisy objective functions.
Optimization in the presence of stochasticity in the objective function evaluation is challenging. This library provides simple, robust algorithms to solve this problem.
For more info see the documentation or the source code.
1 maintainer
Release files for noisyopt 0.2.3
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| noisyopt-0.2.3.tar.gz | 14.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| noisyopt-0.2.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.8 kB
Release files / noisyopt-0.2.3.tar.gz
| Download URL | noisyopt-0.2.3.tar.gz |
|---|---|
| Size | 14.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / noisyopt-0.2.3-py3-none-any.whl
| Download URL | noisyopt-0.2.3-py3-none-any.whl |
|---|---|
| Size | 13.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/6.1.0 CPython/3.13.7
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