Lightweight machine learning library with scikit-learn compatible API
Project description
scikit-lite
⚠️ PRE-ALPHA - This package is in very early development. APIs will change.
A lightweight machine learning library built from scratch, following scikit-learn's API conventions.
Installation
pip install scikit-lite
Requirements
- Python >= 3.11
- NumPy >= 2.3.5
Contributing
This project is in early development. Contributions are welcome but please note the API is unstable.
License
MIT License - See LICENSE file for details.
Acknowledgments
Inspired by scikit-learn's excellent API design and educational resources.
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 scikit_lite-0.0.1a0.tar.gz.
File metadata
- Download URL: scikit_lite-0.0.1a0.tar.gz
- Upload date:
- Size: 5.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f2d8b5998e209124242af27906531f4c90403a0118365d995e36dfe87b993587
|
|
| MD5 |
f5d5228d748bb45f282efb54e2516e44
|
|
| BLAKE2b-256 |
76b923c113886e7ebbfecc8564a3c22fa1db0f38f44ed3b2cc815bb26fa88ed1
|
File details
Details for the file scikit_lite-0.0.1a0-py3-none-any.whl.
File metadata
- Download URL: scikit_lite-0.0.1a0-py3-none-any.whl
- Upload date:
- Size: 6.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b7496e48d497240ebccd2aa21f6cbb514c3038965df8c3e7c675a78b88467224
|
|
| MD5 |
d7d970671d1fdc7b94d8c763aac7c283
|
|
| BLAKE2b-256 |
fcd76ad32aac8c50cd2655b2ed7b6ac43304ea36b50a573ff76bcd33259953ef
|