Metadata-Version: 2.4
Name: pilz
Version: 0.15.2
Summary: Add your description here
Project-URL: Homepage, https://pilz-030f95.gitlab.io/
Project-URL: Repository, https://gitlab.com/gwhe/pilz
Project-URL: Issues, https://gitlab.com/gwhe/pilz/-/issues
Author-email: swayand <stefan.wayand@gmail.com>
License-Expression: GPL-3.0-or-later
License-File: LICENSE
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.13
Requires-Dist: altair>=5.5.0
Requires-Dist: duckdb>=1.4.1
Requires-Dist: mi-amore>=0.1.3
Requires-Dist: polars>=1.35.2
Requires-Dist: pyarrow>=19.0.1
Requires-Dist: pydantic>=2.10.6
Requires-Dist: pyyaml>=6.0.2
Requires-Dist: sympy>=1.14.0
Requires-Dist: typer>=0.15.2
Requires-Dist: vl-convert-python>=1.8.0
Description-Content-Type: text/markdown

# Pilz 


This project is still in development and has an experimental status. The Documentation is hosted at [https://pilz-030f95.gitlab.io/](https://pilz-030f95.gitlab.io/).



If you want to try this package out you can do it with the following commands:

```bash
git clone https://gitlab.com/gwhe/pilz.git
cd pilz
uv sync 
cd examples/mnist
download the file from  https://www.kaggle.com/datasets/oddrationale/mnist-in-csv
then open files dc_mninst.yaml and change test_files: and train_files: to the dowloaded 
chmod u+x run.sh
./run.sh 
--- trink some coffe (or espresso) --- 
if job is finished then look at the files at ./eval folder
```

of cource you can also install the package with pip (uv add pilz). More infos can be found in the docu.