https://github.com/nubank/fklearn

fklearn: Functional Machine Learning
https://github.com/nubank/fklearn

data-analysis data-science machine-learning ml python

Last synced: 13 days ago
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fklearn: Functional Machine Learning

• Host: GitHub
• URL: https://github.com/nubank/fklearn
• Owner: nubank
• License: apache-2.0
• Created: 2019-02-27T14:32:57.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2026-04-15T09:44:35.000Z (13 days ago)
• Last Synced: 2026-04-15T11:34:03.196Z (13 days ago)
• Topics: data-analysis, data-science, machine-learning, ml, python
• Language: Jupyter Notebook
• Homepage:
• Size: 2.64 MB
• Stars: 1,540
• Watchers: 99
• Forks: 171
• Open Issues: 43
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE-OF-CONDUCT.md
  • Codeowners: .github/CODEOWNERS

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README

          
# fklearn: Functional Machine Learning

![PyPI](https://img.shields.io/pypi/v/fklearn.svg?style=flat-square)

[![Documentation Status](https://readthedocs.org/projects/fklearn/badge/?version=latest)](https://fklearn.readthedocs.io/en/latest/?badge=latest)

[![Gitter](https://badges.gitter.im/fklearn-python/community.svg)](https://gitter.im/fklearn-python/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)

![Tests](https://github.com/nubank/fklearn/actions/workflows/push.yaml/badge.svg?branch=master)

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)

**fklearn** uses functional programming principles to make it easier to solve real problems with Machine Learning.

The name is a reference to the widely known [scikit-learn](https://scikit-learn.org/stable/) library.

**fklearn Principles**

1. Validation should reflect real-life situations.

2. Production models should match validated models.

3. Models should be production-ready with few extra steps.

4. Reproducibility and in-depth analysis of model results should be easy to achieve.

[Documentation](https://fklearn.readthedocs.io/en/latest/) |

[Getting Started](https://fklearn.readthedocs.io/en/latest/getting_started.html) |

[API Docs](https://fklearn.readthedocs.io/en/latest/api/modules.html) |

[Contributing](https://fklearn.readthedocs.io/en/latest/contributing.html) |

## Installation

To install via pip:

```

pip install fklearn

```

To install with optional dependencies:

```

pip install fklearn[lgbm]       # LightGBM support

pip install fklearn[xgboost]    # XGBoost support

pip install fklearn[catboost]   # CatBoost support

pip install fklearn[all_models] # All model backends

pip install fklearn[all]        # All models + tools

```

## Development with UV

### Setup

```bash

uv sync --extra devel

```

### Running Tests

```bash

uv run pytest --cov=src/

```

### Linting

```bash

uv run ruff check src/ tests/

uv run ruff format src/ tests/

```

### Adding Dependencies

```bash

uv add           # runtime dependency

uv add --dev     # dev dependency

```

## License

[Apache License 2.0](LICENSE)