Base classes for sklearn-like parametric objects
Project description
Welcome to skbase
A framework factory for scikit-learn-like and sktime-like parametric objects
skbase provides base classes for creating scikit-learn-like parametric objects,
along with tools to make it easier to build your own packages that follow these design patterns.
:rocket: Version 0.6.2 is now available. Check out our release notes.
| Overview | |
|---|---|
| CI/CD |     |
| Code |     |
| Downloads |    |
Documentation and Tutorials
To learn more about the package check out:
- our documentation
- our introductory tutorial (jupyter notebooks and video presentation)
:hourglass_flowing_sand: Install skbase
For trouble shooting or more information, see our detailed installation instructions.
- Operating system: macOS X · Linux · Windows 8.1 or higher
- Python version: Python 3.8, 3.9, 3.10, 3.11 and 3.12
- Package managers: pip
pip
skbase releases are available as source packages and binary wheels via PyPI and can be installed using pip. Checkout the full list of pre-compiled wheels on PyPi.
To install the core package use:
pip install scikit-base
or, if you want to install with the maximum set of dependencies, use:
pip install scikit-base[all_extras]
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
File details
Details for the file scikit-base-0.7.0.tar.gz.
File metadata
- Download URL: scikit-base-0.7.0.tar.gz
- Upload date:
- Size: 104.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f216cf11fe29f08c495ca415ffef60f9a5f3339ae1526ac931c5e2f8921f1362 |
|
| MD5 | ae8807ccffc3c031ec6fa2ac884b947f |
|
| BLAKE2b-256 | de1ce826701f5cb8f4df2284c9c9dce3fa43e71c4287f2dc444f93a008a2427e |
File details
Details for the file scikit_base-0.7.0-py3-none-any.whl.
File metadata
- Download URL: scikit_base-0.7.0-py3-none-any.whl
- Upload date:
- Size: 123.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 41409a28e433d86339d7d8d47c7eba81047f483a46345703907c97caab36423e |
|
| MD5 | cf2b02cd32da05cbd8380bd5be61c13c |
|
| BLAKE2b-256 | e962983dab768e3f6a1803c02b62415ef0a1affdcf099ae585aedc133ff81621 |
