A Python library for iterative variable weighting and optimation
Project description
Optimation Framework
Optimation is a flexible framework for iterative variable weighting, balancing trade-offs, and adaptive decision-making.
Installation
pip install optimation
Usage
from optimation.core import optimate
result = optimate(A=10, B=20, weight_A=70)
print(result) # Outputs optimized result
Features
- Variable Weighting
- Iterative Trade-Offs
- Half-Adding & Exponential Adjustments
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
optimation-1.0.tar.gz
(2.2 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
File details
Details for the file optimation-1.0.tar.gz.
File metadata
- Download URL: optimation-1.0.tar.gz
- Upload date:
- Size: 2.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e82b9652bc0032a7d278dfb0eabfc61530f97b509344d3152c4cbdbdca0d77db
|
|
| MD5 |
865a5ed392a6c095f93c1b5bac890446
|
|
| BLAKE2b-256 |
43e964afeb841fdba90a9d173bf4f5779cecd69574aa62fb5b17f5fb2f189455
|
File details
Details for the file optimation-1.0-py3-none-any.whl.
File metadata
- Download URL: optimation-1.0-py3-none-any.whl
- Upload date:
- Size: 2.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1db73e324a9bf05c2c2bd2a2c2f001200cd9901f57c8e8c8261a4bd3393fccbb
|
|
| MD5 |
9362b21e54c0b156eb2834d35d2cf726
|
|
| BLAKE2b-256 |
91b668be5320bd53eebda150abdb07a9d41660eb1921a32089242dfed05e7b62
|
