[](https://badge.fury.io/py/keras-quadopt)
[](https://img.shields.io/pypi/dm/keras-quadopt)
[](https://zenodo.org/badge/latestdoi/477837694)
# keras-quadopt: Solving Constrained Quadratic Optimization Problems with Reverse Automatic Differentation (Keras/TF2)
Solving quadratic optimization problems with resource constraints and upper boundaries using TF2/Keras.
## Usage
```py
import tensorflow as tf
import keras_quadopt as kqp
import time
# goodness scores
good = tf.constant([.51, .53, .55, .57])
# similarity matrices
simi_1 = tf.constant([
[1, .9, .8, .7],
[.9, 1, .6, .5],
[.8, .6, 1, .4],
[.7, .5, .4, 1],
])
simi_2 = tf.constant([
[1, .7, .8, .3],
[.7, 1, .4, .2],
[.8, .4, 1, .6],
[.3, .2, .6, 1],
])
# preference parameters
lam = 0.4
beta_1 = 0.25
beta_2 = 0.75
# compute weights
simi = kqp.aggregate_matrices(simi_1, beta_1, simi_2, beta_2)
start = time.time()
wbest, fbest = kqp.get_weights(good, simi, lam)
print(f"elapsed: {time.time() - start}")
```
## Appendix
### Installation
The `keras-quadopt` [git repo](http://github.com/ulf1/keras-quadopt) is available as [PyPi package](https://pypi.org/project/keras-quadopt)
```sh
pip install keras-quadopt
pip install git+ssh://git@github.com/ulf1/keras-quadopt.git
```
### Install a virtual environment
```sh
python3 -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt --no-cache-dir
pip install -r requirements-dev.txt --no-cache-dir
```
(If your git repo is stored in a folder with whitespaces, then don't use the subfolder `.venv`. Use an absolute path without whitespaces.)
### Python commands
* Check syntax: `flake8 --ignore=F401 --exclude=$(grep -v '^#' .gitignore | xargs | sed -e 's/ /,/g')`
* Run Unit Tests: `PYTHONPATH=. pytest`
Publish
```sh
python setup.py sdist
twine upload -r pypi dist/*
```
### Clean up
```sh
find . -type f -name "*.pyc" | xargs rm
find . -type d -name "__pycache__" | xargs rm -r
rm -r .pytest_cache
rm -r .venv
```
### Support
Please [open an issue](https://github.com/ulf1/keras-quadopt/issues/new) for support.
### Contributing
Please contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/ulf1/keras-quadopt/compare/).
### Acknowledgements
The "Evidence" project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - [433249742](https://gepris.dfg.de/gepris/projekt/433249742) (GU 798/27-1; GE 1119/11-1).
### Maintenance
- till 31.Aug.2023 (v0.1.0) the code repository was maintained within the DFG project [433249742](https://gepris.dfg.de/gepris/projekt/433249742)
- since 01.Sep.2023 (v0.2.0) the code repository is maintained by Ulf Hamster.
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"description": "[](https://badge.fury.io/py/keras-quadopt)\n[](https://img.shields.io/pypi/dm/keras-quadopt)\n[](https://zenodo.org/badge/latestdoi/477837694)\n\n# keras-quadopt: Solving Constrained Quadratic Optimization Problems with Reverse Automatic Differentation (Keras/TF2)\nSolving quadratic optimization problems with resource constraints and upper boundaries using TF2/Keras.\n\n## Usage\n\n```py\nimport tensorflow as tf\nimport keras_quadopt as kqp\nimport time\n\n# goodness scores\ngood = tf.constant([.51, .53, .55, .57])\n\n# similarity matrices\nsimi_1 = tf.constant([\n [1, .9, .8, .7],\n [.9, 1, .6, .5],\n [.8, .6, 1, .4],\n [.7, .5, .4, 1],\n])\n\nsimi_2 = tf.constant([\n [1, .7, .8, .3],\n [.7, 1, .4, .2],\n [.8, .4, 1, .6],\n [.3, .2, .6, 1],\n])\n\n# preference parameters\nlam = 0.4\nbeta_1 = 0.25\nbeta_2 = 0.75\n\n# compute weights\nsimi = kqp.aggregate_matrices(simi_1, beta_1, simi_2, beta_2)\n\nstart = time.time()\nwbest, fbest = kqp.get_weights(good, simi, lam)\nprint(f\"elapsed: {time.time() - start}\")\n```\n\n\n\n\n## Appendix\n\n### Installation\nThe `keras-quadopt` [git repo](http://github.com/ulf1/keras-quadopt) is available as [PyPi package](https://pypi.org/project/keras-quadopt)\n\n```sh\npip install keras-quadopt\npip install git+ssh://git@github.com/ulf1/keras-quadopt.git\n```\n\n### Install a virtual environment\n\n```sh\npython3 -m venv .venv\nsource .venv/bin/activate\npip install --upgrade pip\npip install -r requirements.txt --no-cache-dir\npip install -r requirements-dev.txt --no-cache-dir\n```\n\n(If your git repo is stored in a folder with whitespaces, then don't use the subfolder `.venv`. Use an absolute path without whitespaces.)\n\n### Python commands\n\n* Check syntax: `flake8 --ignore=F401 --exclude=$(grep -v '^#' .gitignore | xargs | sed -e 's/ /,/g')`\n* Run Unit Tests: `PYTHONPATH=. pytest`\n\nPublish\n\n```sh\npython setup.py sdist \ntwine upload -r pypi dist/*\n```\n\n### Clean up \n\n```sh\nfind . -type f -name \"*.pyc\" | xargs rm\nfind . -type d -name \"__pycache__\" | xargs rm -r\nrm -r .pytest_cache\nrm -r .venv\n```\n\n\n### Support\nPlease [open an issue](https://github.com/ulf1/keras-quadopt/issues/new) for support.\n\n\n### Contributing\nPlease contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/ulf1/keras-quadopt/compare/).\n\n### Acknowledgements\nThe \"Evidence\" project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - [433249742](https://gepris.dfg.de/gepris/projekt/433249742) (GU 798/27-1; GE 1119/11-1).\n\n### Maintenance\n- till 31.Aug.2023 (v0.1.0) the code repository was maintained within the DFG project [433249742](https://gepris.dfg.de/gepris/projekt/433249742)\n- since 01.Sep.2023 (v0.2.0) the code repository is maintained by Ulf Hamster.\n\n\n",
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