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:
python3.8 or greater: https://www.python.org/downloads/
Install BMS as part of the autora package:
pip install -U "autora[theorist-bms]" --pre
It is recommended to use a
pythonenvironment manager likevirtualenv.
Check your installation by running:
python -c "from autora.theorist.bms import BMSRegressor; BMSRegressor()"
1 maintainer
Release files for autora-theorist-bms 1.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| autora-theorist-bms-1.0.6.tar.gz | 748.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autora_theorist_bms-1.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 772.0 kB
Release files / autora-theorist-bms-1.0.6.tar.gz
| Download URL | autora-theorist-bms-1.0.6.tar.gz |
|---|---|
| Size | 748.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d5185f075a2cd2b3ee19e8c0ce084b526fe8621ffe16382322ff769207015c20
|
|
BLAKE2b-256 checksum How to use checksums |
6246dd6bd2058c7006587ecf472e986229cf13a8551613b5533d6ce7c1bf7b95
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.17
|
Release files / autora_theorist_bms-1.0.6-py3-none-any.whl
| Download URL | autora_theorist_bms-1.0.6-py3-none-any.whl |
|---|---|
| Size | 24.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2e2d653cc268fd415b95c7e104d30310809c4ab97c262493cea570b33a1663e2
|
|
BLAKE2b-256 checksum How to use checksums |
c634418008079f33e79efdfad15f6bb0936411f794f72572d807b766d669be1a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.17
|
