Base classes for sklearn-like parametric objects
Project description
Welcome to skbase
A base class 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 0.4.5 is now available. Checkout our release notes.
Overview | |
---|---|
CI/CD | |
Code | |
Downloads |
Documentation
To learn more about the package checkout our documentation.
: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 3.7, 3.8, 3.9, 3.10 and 3.11
- 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]
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
Hashes for scikit_base-0.4.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5a1821e9e69dcead9a4d5ba24ea7a9fb0d5044e97b9008dc4ac56d86abe18d04 |
|
MD5 | 7dbd500996e188df518bb7270ee3db29 |
|
BLAKE2b-256 | b8c419c98e9af7bc0c92c321ee7adc6884e9b5fba991f4bf443d44370029cdc5 |