Skip to main content

Bayesian Machine Scientist theorist for AutoRA

Project description

AutoRA Bayesian Machine Scientist

autora-theorist-bms is a Python module built on AutoRA that can be used to discover equations that fit data.

Website: https://autoresearch.github.io/autora/

User Guide

You will need:

Install BMS as part of the autora package:

pip install -U "autora[theorist-bms]" --pre

It is recommended to use a python environment manager like virtualenv.

Check your installation by running:

python -c "from autora.theorist.bms import BMSRegressor; BMSRegressor()"

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

autora-theorist-bms-1.0.2.tar.gz (746.5 kB view details)

Uploaded Source

Built Distribution

autora_theorist_bms-1.0.2-py3-none-any.whl (22.3 kB view details)

Uploaded Python 3

File details

Details for the file autora-theorist-bms-1.0.2.tar.gz.

File metadata

  • Download URL: autora-theorist-bms-1.0.2.tar.gz
  • Upload date:
  • Size: 746.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for autora-theorist-bms-1.0.2.tar.gz
Algorithm Hash digest
SHA256 fa3d5c73bf36c76ccc22f81ee8d0a741d3884efaabd0aac71e352dd04aaebea7
MD5 a4cb06f33b2902d9c4c978aafc228f36
BLAKE2b-256 cf7c3bb5d7cd9f56ebc5b3e80677317395acc0b5e4696cb38055fc6c8a5a1614

See more details on using hashes here.

File details

Details for the file autora_theorist_bms-1.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for autora_theorist_bms-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 eb712d9216794d3e4268dd282040fd51a36d49fbd374320272264786df419d9e
MD5 08fcb2869f9a0a592ce358430370d282
BLAKE2b-256 464824d9c859a6841460f627fd7e138433c2abb0828e4e87026d7ac3961ef03d

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