Metadata-Version: 2.1
Name: liltab
Version: 1.0.0
Summary: Package for meta-learning across data with varying attributes spaces.
Author-email: Antoni Zajko <antoni.zajko.1@gmail.com>, Dawid Płudowski <dawid.pludowski@gmail.com>
Project-URL: Homepage, https://github.com/azoz01/liltab
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: flake8==6.0.0
Requires-Dist: black==23.3.0
Requires-Dist: pytest==7.3.1
Requires-Dist: pytest_cov==4.1.0
Requires-Dist: torch==2.0.1
Requires-Dist: pandas==2.0.3
Requires-Dist: numpy==1.25.0
Requires-Dist: torchtest==0.5
Requires-Dist: scikit-learn==1.3.0
Requires-Dist: pytorch_lightning==2.0.6
Requires-Dist: typer==0.9.0
Requires-Dist: loguru==0.7.0
Requires-Dist: seaborn==0.12.2
Requires-Dist: tensorboard==2.14.0

# liltab

## Dev
You need to have Python 3.10 and pip.

To get dependencies run: 
```
make get_dependencies
```

To format and check code with linter run:
```
make prepare_code
```

Run tests using following: 
```
make run_tests
```
