An accelerated gradient descent optimizer for Pyxu
This Pyxu plugin was generated with Cookiecutter using the cookiecutter-pyxu template.
Installation
You can install pyxu-gradient-descent via pip:
pip install pyxu-gradient-descent
To install latest development version :
pip install git+https://github.com/joanrue/pyxu-gradient-descent.git
Contributing
Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.
License
Distributed under the terms of the MIT license, pyxu-gradient-descent is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
Metadata
Release files for pyxu-gradient-descent 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyxu_gradient_descent-1.0.1.tar.gz | 5.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyxu_gradient_descent-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.4 kB
Release files / pyxu_gradient_descent-1.0.1.tar.gz
| Download URL | pyxu_gradient_descent-1.0.1.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.3
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Release files / pyxu_gradient_descent-1.0.1-py3-none-any.whl
| Download URL | pyxu_gradient_descent-1.0.1-py3-none-any.whl |
|---|---|
| Size | 3.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.3
|