Metadata-Version: 2.4
Name: kego
Version: 0.6.0
Summary: Helpers for quick ML analysis of kaggle competitions.
Requires-Python: >=3.10
Requires-Dist: kaggle>=1.6.6
Requires-Dist: matplotlib>=3.7.0
Requires-Dist: numpy>=1.26.4
Requires-Dist: pandas>=2.2.0
Requires-Dist: polars>=1.31.0
Requires-Dist: scikit-learn>=1.5.0
Requires-Dist: tqdm>=4.66.4
Description-Content-Type: text/markdown

## kego

## Setup
To make VScode see poetry kernels use:
```bash
poetry config virtualenvs.in-project true
```
Make sure notebook use newest version of code by adding
```python
%load_ext autoreload
%autoreload 2
```
## Competition specific
### Ariel
- `.env`
```bash
FOLDER_COMPETITION=${PATH_EFOLDER}/ariel-data-challenge-2024/
```
