SOED
Self Organizing Error Driven Artificial Neural Network
Publications
- Self-organizing and error driven (SOED) artificial neural network for smarter classifications https://academic.oup.com/jcde/article/4/4/282/5729001
- An optimum ANN-based breast cancer diagnosis: Bridging gaps between ANN learning and decision-making goals https://www.sciencedirect.com/science/article/abs/pii/S1568494618304484
- From in-situ monitoring toward high-throughput process control: cost-driven decision-making framework for laser-based additive manufacturing https://www.sciencedirect.com/science/article/abs/pii/S0278612518302929
- Optimum profit-driven churn decision making: innovative artificial neural networks in telecom industry https://link.springer.com/article/10.1007/s00521-020-04850-6
- Supervised or unsupervised learning? Investigating the role of pattern recognition assumptions in the success of binary predictive prescriptions https://www.sciencedirect.com/science/article/abs/pii/S0925231220319639
How to work
pip install soed
from soed import SOEDClassifier
soed = SOEDClassifier(mlp_max_iter=10000,som_x=10, som_y=10,som_input_len=X_train.shape[1])
How to run project
virtualenv soed_dev
source soed_dev/bin/activate
pip install -r requirements.txt
jupyter notebook \
--notebook-dir="./notebooks" \
--ip=0.0.0.0 --port=3225
At the time new py package installed
pip install <package>
pip freeze > requirements.txt
for installation in local
pip install -e .
build project
python setup.py sdist bdist_wheel
Push project
twine upload dist/*
Release pypi module
pip install twine
Ensure you have pypi credential in
# nano ~/.pypirc
[pypi]
username = __token__
password = <Token>
./releaseNewVersionAndAddTag.sh
Metadata
Release files for soed 1.0.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| soed-1.0.10.tar.gz | 8.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| soed-1.0.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.0 kB
Release files / soed-1.0.10.tar.gz
| Download URL | soed-1.0.10.tar.gz |
|---|---|
| Size | 8.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
754165924c1fcb14aa5b831ba774f47d39983ca8a7c0ee064edd3aa2ebc0be89
|
|
BLAKE2b-256 checksum How to use checksums |
e3cb16bf960adbe89fe95625fcc7d3bac92a5dda4d6ea139a3ea0c1bd0e9163c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.4
|
Release files / soed-1.0.10-py3-none-any.whl
| Download URL | soed-1.0.10-py3-none-any.whl |
|---|---|
| Size | 6.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e1ad172ea9103373e43197a610df6fa12cdabaf9f88304414d5ba6d7bc826295
|
|
BLAKE2b-256 checksum How to use checksums |
de0c0b4d728ffe41606d33bd81505171389c378185380c94de5ba4c45214e8af
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.4
|