nubank/fklearn
A functional programming-based Python library for building and deploying machine learning models.
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fklearn applies functional programming paradigms to machine learning workflows, providing composable and reusable ML components. It focuses on validation, production readiness, and reproducibility. The library integrates with popular ML backends including LightGBM, XGBoost, and CatBoost, and aims to make production ML models easier to achieve.
Frequently asked
- What is nubank/fklearn?
- A functional programming-based Python library for building and deploying machine learning models.
- Is fklearn open source?
- Yes — nubank/fklearn is open source, released under the Apache-2.0 license.
- What language is fklearn written in?
- nubank/fklearn is primarily written in Jupyter Notebook.
- How popular is fklearn?
- nubank/fklearn has 1.5k stars on GitHub.
- Where can I find fklearn?
- nubank/fklearn is on GitHub at https://github.com/nubank/fklearn.