Flux tune is a library intended to implemnet various online machine learning algorithms and agents
Project description
Fluxtune
Fluxtune is a Python library for online machine learning that provides tools for managing and evaluating multiple experts. The library includes various algorithms to leverage the predictions of multiple models efficiently.
Features
- Expert Management: Create and manage multiple expert models.
- Naive Algorithm: Uses a single best expert for predictions.
- Majority Algorithm: Uses the majority vote of all experts for predictions.
- Weighted Majority Algorithm: Uses a weighted majority vote of all experts for predictions.
Installation
You can install Fluxtune via pip:
pip install fluxtune
License
Fluxtune is licensed under the MIT License. See the LICENSE file for more details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request or report an issue.
Acknowledgements
Inspired by various online machine learning frameworks and techniques.
Project details
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
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 fluxtune-0.1.2.tar.gz.
File metadata
- Download URL: fluxtune-0.1.2.tar.gz
- Upload date:
- Size: 5.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
655dbe00c4046d019f439f83d332733b66c63765e5e13de8b3aa5687d6e588ea
|
|
| MD5 |
db49ee0cf8d60c30c024cd74a3e37c95
|
|
| BLAKE2b-256 |
1c2028efa1c1906d7097a241b84c97becbeaa14abcc3730319132c595ee1dd1d
|
File details
Details for the file fluxtune-0.1.2-py3-none-any.whl.
File metadata
- Download URL: fluxtune-0.1.2-py3-none-any.whl
- Upload date:
- Size: 6.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
71c0405a5262c519f68ba9aff0aaae0daaf0aa592ca5fe51bdc72e3b420125d6
|
|
| MD5 |
53c66e30f02d605979f8a0b866405219
|
|
| BLAKE2b-256 |
5208aae9f287aee451d7a546d6e3b66b331f75a79a88f397e93a7387276ed185
|