Penalty Model - Mixed-Integer (Linear) Programming
Generates penalty models using Google Optimization Tools’ Mixed-Integer Programming capability. Serves as a factory and cache for penaltymodel.
On install, penaltymodel-mip registers an entry point that can be read by
penaltymodel. It will be used automatically by any project that uses penaltymodel’s
get_penalty_model function.
Installation
To install:
pip install penaltymodel-mipTo build from souce:
cd penaltymodel_mip
pip install -r requirements.txt
python setup.py installLicense
Released under the Apache License 2.0
2 maintainers
Metadata
2 maintainers
Release files for penaltymodel-mip 0.2.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| penaltymodel-mip-0.2.6.tar.gz | 6.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| penaltymodel_mip-0.2.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.7 kB
Release files / penaltymodel-mip-0.2.6.tar.gz
| Download URL | penaltymodel-mip-0.2.6.tar.gz |
|---|---|
| Size | 6.0 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8
|
Release files / penaltymodel_mip-0.2.6-py3-none-any.whl
| Download URL | penaltymodel_mip-0.2.6-py3-none-any.whl |
|---|---|
| Size | 7.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8
|
