Skip to main content

Add short description here

Project description

Welcome to LAMINAR

License: MIT GitHub Workflow Status Documentation Status codecov

Installation

The Python package LAMINAR can be installed from PyPI:

python -m pip install laminar-learn

Development installation

If you want to contribute to the development of LAMINAR, we recommend the following editable installation from this repository:

git clone https://github.com/CKleiber/LAMINAR.git
cd LAMINAR
python -m pip install --editable .[tests]

Having done so, the test suite can be run using pytest:

python -m pytest

Acknowledgments

This repository was set up using the SSC Cookiecutter for Python Packages.

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

laminar_learn-0.5.7.tar.gz (10.6 kB view details)

Uploaded Source

File details

Details for the file laminar_learn-0.5.7.tar.gz.

File metadata

  • Download URL: laminar_learn-0.5.7.tar.gz
  • Upload date:
  • Size: 10.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.10

File hashes

Hashes for laminar_learn-0.5.7.tar.gz
Algorithm Hash digest
SHA256 16e7855eb5d89cab5dbb1e5846ae8637c874bd954501ffd5d220ac2be09a35e5
MD5 52153f1d8a49a7709f70b64abdc6b734
BLAKE2b-256 96f3c8103ae57386ce410fa9810ef51494d6367bc0e5cf5fc9071452733de7c5

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