A lightweight package to perform regression with neural nets
Project description
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/*
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pugna-0.2.9.tar.gz
(18.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
pugna-0.2.9-py3-none-any.whl
(35.0 kB
view details)
File details
Details for the file pugna-0.2.9.tar.gz.
File metadata
- Download URL: pugna-0.2.9.tar.gz
- Upload date:
- Size: 18.3 kB
- Tags: Source
- Uploaded using 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/4.59.0 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
716b45da6fa09850b02822226301599e180d9cf6cce38482bf3dd26f46127d0f
|
|
| MD5 |
d3d8fed344bef95eb0d77b16f5880941
|
|
| BLAKE2b-256 |
a52f3e20873e876beaa921990e6baeb6229a95fd19aaab74804e7604b0a1bb9f
|
File details
Details for the file pugna-0.2.9-py3-none-any.whl.
File metadata
- Download URL: pugna-0.2.9-py3-none-any.whl
- Upload date:
- Size: 35.0 kB
- Tags: Python 3
- Uploaded using 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/4.59.0 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
42c68121edb26ac0f9f3caecec0540db7882138089bc4082015c25af7dfdecdd
|
|
| MD5 |
3fd147b2fe56ab8be2c8e44ce869481b
|
|
| BLAKE2b-256 |
e75a19dd2c3bf73c9a2b2050cfe21b77c9e725bba345bf391978fa1aac82c812
|