Skip to main content

MCMC samplers based on simulating Hamiltonian dynamics on a manifold

Project description

Mici is a Python package providing implementations of Markov chain Monte Carlo (MCMC) methods for approximate inference in probabilistic models, with a particular focus on MCMC methods based on simulating Hamiltonian dynamics on a manifold.

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

mici-0.1.9.tar.gz (82.3 kB view details)

Uploaded Source

Built Distribution

mici-0.1.9-py3-none-any.whl (81.0 kB view details)

Uploaded Python 3

File details

Details for the file mici-0.1.9.tar.gz.

File metadata

  • Download URL: mici-0.1.9.tar.gz
  • Upload date:
  • Size: 82.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for mici-0.1.9.tar.gz
Algorithm Hash digest
SHA256 5efe942446bd9df86785c9f1627196d7f4d10f1b1e46a42557cc3d89c19bca6b
MD5 990863b28e385fec00b2b875543cbf4f
BLAKE2b-256 40389d8057d6260894b5151209ca31b8367914104aa19f1b23ca33e1e2145c6a

See more details on using hashes here.

File details

Details for the file mici-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: mici-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 81.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for mici-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 ecc33aa588dad6baa3edbb077b7263da7025b9bac58f2940fc4a7e930531e3f0
MD5 2b6ba24aef40429b7c6760bf856abff8
BLAKE2b-256 129b40832eeb479e201ce49f5c5fb1ed40c05dd4dbbf791b80a6d16492683c71

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