AutoRA Bayesian Symbolic Regression
autora-theorist-bsr 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 BSR as part of the autora package:
pip install -U "autora[theorist-bsr]" --pre
It is recommended to use a
pythonenvironment manager likevirtualenv.
Check your installation by running:
python -c "from autora.theorist.bsr import BSRRegressor; BSRRegressor()"
Release files for autora-theorist-bsr 1.0.0
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-bsr-1.0.0.tar.gz | 65.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autora_theorist_bsr-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 84.4 kB
Release files / autora-theorist-bsr-1.0.0.tar.gz
| Download URL | autora-theorist-bsr-1.0.0.tar.gz |
|---|---|
| Size | 65.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / autora_theorist_bsr-1.0.0-py3-none-any.whl
| Download URL | autora_theorist_bsr-1.0.0-py3-none-any.whl |
|---|---|
| Size | 18.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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