Metadata-Version: 2.1
Name: wsmf
Version: 0.0.1
Summary: Package with encoder-based approaches to warm-starting Bayesian Hyperparameter Optimization.
Author-email: Antoni Zajko <antoni.zajko.1@gmail.com>
Project-URL: Homepage, https://github.com/azoz01/wsmf
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: dataset2vec>=1.0.0
Requires-Dist: openml>=0.14.2
Requires-Dist: loguru>=0.7.2
Requires-Dist: optuna>=3.6.1
Requires-Dist: xgboost>=2.0.3
Requires-Dist: scikit-learn>=1.4.2
Requires-Dist: pytest>=8.2.1
Requires-Dist: pymfe>=0.4.3
Requires-Dist: seaborn>=0.13.2
Requires-Dist: tensorboard>=2.17.0
Requires-Dist: numpy>=1.26.4

## Running code
### Setup
```
pip install -r requirements.txt
export PYTHONPATH=`pwd`
```
### Loading data
```
python bin/load_data.py
```

### Release
```
python -m build
```
