pugna
Neural Network Fitting Code
Development
conda create -n pugna-dev python=3.7
adding new models
new models should be added to the pugna/models directory as a new python module. See pugna/models/mscalednn.py for an example.
Uploading to pypi
python setup.py clean --all
rm -rf dist/
python3 setup.py sdist bdist_wheel
python3 -m twine upload dist/*
1 maintainer
Metadata
1 maintainer
Release files for pugna 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pugna-0.1.3.tar.gz | 16.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pugna-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 49.3 kB
Release files / pugna-0.1.3.tar.gz
| Download URL | pugna-0.1.3.tar.gz |
|---|---|
| Size | 16.4 kB |
| Tags | Source |
|
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/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7
|
Release files / pugna-0.1.3-py3-none-any.whl
| Download URL | pugna-0.1.3-py3-none-any.whl |
|---|---|
| Size | 32.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3c6c2b3c83b7f8de0f4d565c56518e87d416a9e979083c3a68d27fdce1c4ac6c
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BLAKE2b-256 checksum How to use checksums |
5f62dc04799ea9b12e8b18bc24b4012e11124f68aec4609726e343f233be2645
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7
|
