Skip to main content

No project description provided

Project description

# BayesBay

[![PyPI version](https://img.shields.io/pypi/v/bayesbay?logo=pypi&style=flat-square&color=cae9ff&labelColor=f8f9fa)](https://pypi.org/project/bayesbay/) [![Documentation Status](https://img.shields.io/readthedocs/bayes-bay?logo=readthedocs&style=flat-square&color=fed9b7&labelColor=f8f9fa&logoColor=eaac8b)](https://bayes-bay.readthedocs.io/en/latest/?badge=latest)

Trans-dimensional McMC sampling implemented in Python and Cython.

## Development tips

  • To set up development environment:

    `console $ mamba env create -f envs/environment_dev.yml `

    or

    `console $ python -m venv bayesbay_dev $ source bayesbay_dev/bin/activate $ pip install -r envs/requirements_dev.txt `

  • To install the package:

    `console $ python -m pip install . `

  • Look at [noxfile.py](noxfile.py) for building, testing, formatting and linting.

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

bayesbay-0.1.5.tar.gz (195.1 kB view details)

Uploaded Source

File details

Details for the file bayesbay-0.1.5.tar.gz.

File metadata

  • Download URL: bayesbay-0.1.5.tar.gz
  • Upload date:
  • Size: 195.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10

File hashes

Hashes for bayesbay-0.1.5.tar.gz
Algorithm Hash digest
SHA256 7879ffed14d0899911520f2669df56ba48e075fbeffef092085115ad71285a9d
MD5 a39ed2904944eec6c05ef8784ea8c288
BLAKE2b-256 884362a5edaf7b96bab72b8c1c7162746b31efe81815061df06110db1e4210ec

See more details on using hashes here.

Supported by

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