fklearn: Functional Machine Learning
Maintenance notice: fklearn is deprecated, and support is limited. The library is chapter-owned; no specific team maintains it.
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 library.
fklearn Principles
- Validation should reflect real-life situations.
- Production models should match validated models.
- Models should be production-ready with few extra steps.
- Reproducibility and in-depth analysis of model results should be easy to achieve.
Documentation | Getting Started | API Docs | Contributing |
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
fklearn uses uv for dependency management. uv sync
creates a virtual environment, installs all locked dependencies, and installs
fklearn itself in editable mode (the default for uv projects) so changes
under src/ are picked up without reinstalling.
Setup
uv sync # core deps + dev group
uv sync --all-extras # also installs lgbm / xgboost / catboost / tools / demos / docs
The dev dependency group (pytest, ruff, mypy, hypothesis) is included by
default via tool.uv.default-groups, so uv sync alone is enough for most
development workflows.
Running Tests
uv run pytest --cov=src/
Linting
uv run ruff check src/ tests/
uv run ruff format --check src/ tests/
uv run ruff format src/ tests/
Adding Dependencies
uv add <package-name> # runtime dependency
uv add --dev <package-name> # dev dependency
Note for Nubank contributors
Regenerate the lockfile with --default-index https://pypi.org/simple/:
uv lock --no-config --default-index https://pypi.org/simple/
--no-config excludes local index settings such as Nubank's internal registry.
Before committing the lockfile, check that package source URLs point to public
PyPI and contain no credentials.
License
1 maintainer
Release files for fklearn 4.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fklearn-4.3.0.tar.gz | 270.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fklearn-4.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 354.2 kB
Release files / fklearn-4.3.0.tar.gz
| Download URL | fklearn-4.3.0.tar.gz |
|---|---|
| Size | 270.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Release files / fklearn-4.3.0-py3-none-any.whl
| Download URL | fklearn-4.3.0-py3-none-any.whl |
|---|---|
| Size | 83.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
