No project description provided
Project description
opt-sugar is a Python package meant to make the optimization operation (OptOps) tasks easier by providing the building blocks needed to use mlflow for mathematical optimization experimentation.
The project was started in oct 2022 by Juan Chacon.
Installation
Dependencies
opt-sugar requires:
Python (>= 3.8)
NumPy (>= 1.23.2)
GurobiPy (>= 9.5.2)
ScikitLearn (>= 1.1.2)
User installation
If you already have a working installation all the dependencies, the easiest way to install opt-sugar is using pip:
pip install -U opt-sugar
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
opt_sugar-0.0.4.2.tar.gz
(3.2 kB
view details)
File details
Details for the file opt_sugar-0.0.4.2.tar.gz.
File metadata
- Download URL: opt_sugar-0.0.4.2.tar.gz
- Upload date:
- Size: 3.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 23bbabfd81fbfea12cfd9fe42fb7322f45ed8bbb6991ed418291dea9d0be7f45 |
|
| MD5 | aadcaf2a5824f57085b8f674276adc73 |
|
| BLAKE2b-256 | 7150856d5f869f7e35e77b097591b845c6666ff35d6d774dc54de303050617a6 |
