Skip to main content

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.

Overview
CI/CD Tests codecov Documentation Status pre-commit.ci status
Code !pypi !python-versions !black security: bandit
Downloads Downloads Downloads Downloads

All Contributors

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, and 3.10
  • 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 skbase

or, if you want to install with the maximum set of dependencies, use:

pip install skbase[all_extras]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

skbase-0.1.0.tar.gz (47.6 kB view details)

Uploaded Source

Built Distribution

skbase-0.1.0-py3-none-any.whl (50.7 kB view details)

Uploaded Python 3

File details

Details for the file skbase-0.1.0.tar.gz.

File metadata

  • Download URL: skbase-0.1.0.tar.gz
  • Upload date:
  • Size: 47.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for skbase-0.1.0.tar.gz
Algorithm Hash digest
SHA256 35f168042e1379534d94b515327b23eb7536499cd3c2853b3579cf6c6c8f08c6
MD5 3a448899f9f5b7096d5cf381ca4b8543
BLAKE2b-256 76f33f05799778075acc65ff0064e68c73bf68b3e44ce75a5632ab671674a432

See more details on using hashes here.

File details

Details for the file skbase-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: skbase-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 50.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for skbase-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 714ff7132ca42de424e5ab61ceebaf9e4842988853c39aafde178610ad288c5f
MD5 ccbc082a3bf796b7969c82f0b422e4d2
BLAKE2b-256 19681c753abdb6f92cd18a07cfc170b0ea208d1e3933d3be5e48c06b4803229b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page