AutoRA Synthetic Experiments
Project description
AutoRA Synthetic Data
Synthetic experiment data for testing AutoRA theorists and experimentalists.
User Guide
You will need:
python
3.8 or greater: https://www.python.org/downloads/
Install the synthetic data package (as part of autora
):
pip install -U "autora"
💡We recommend using a
python
environment 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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
autora_synthetic-2.0.1b0.tar.gz
(160.4 kB
view hashes)
Built Distribution
Close
Hashes for autora_synthetic-2.0.1b0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 19ca1d5f508e3731032e65abf8b663ca565161cfb15da8be3c0b3554577f51b1 |
|
MD5 | afbc169086147d1158b8aae803c5e6e1 |
|
BLAKE2b-256 | eb8e2988ffd7326e93d4d137a88d12ec49ae9202ed63d62b8820a09bec3e0f88 |