AutoRA Synthetic Data
Synthetic experiment data for testing AutoRA theorists and experimentalists.
User Guide
You will need:
python3.8 or greater: https://www.python.org/downloads/
Install the synthetic data package (as part of autora):
pip install -U "autora"
💡We recommend using a
pythonenvironment manager likevirtualenv.
Print a description of the prospect theory model by Kahneman and Tversky by running:
python -c "
from autora.experiment_runner.synthetic.economics.prospect_theory import prospect_theory
study = prospect_theory()
print(study.description)
"
For more information, see the documentation.
Metadata
Release files for autora-synthetic 2.2.0
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_synthetic-2.2.0.tar.gz | 715.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autora_synthetic-2.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 744.5 kB
Release files / autora_synthetic-2.2.0.tar.gz
| Download URL | autora_synthetic-2.2.0.tar.gz |
|---|---|
| Size | 715.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
|
Release files / autora_synthetic-2.2.0-py3-none-any.whl
| Download URL | autora_synthetic-2.2.0-py3-none-any.whl |
|---|---|
| Size | 28.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
|