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-1.0.3.tar.gz
(136.8 kB
view hashes)
Built Distribution
Close
Hashes for autora_synthetic-1.0.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f09f4baa9722ed9240b0df468fd275d845ba4df9e59cc46df969ba62bc966ccb |
|
MD5 | d9bf621a0d56cf0ca881b5d022c28072 |
|
BLAKE2b-256 | 029d8197b2ca682e0cf37de95ee54bec4fa2bac4e8319cef0878b42ce4ed50ed |