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fklearn: Functional Machine Learning
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underscrew and caique-lima Add catboosting classifier (#52)
* catboosting classifier

* Small lint fix

* Update requirements

* Small doc style fix

* categorical classification test and small fixes
Latest commit a29c5fe May 9, 2019

README.md

fklearn: Functional Machine Learning

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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

  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 | Getting Started | API Docs | Contributing |

Installation

To install via pip:

pip install fklearn

You can also install from the source:

git clone git@github.com:nubank/fklearn.git
cd fklearn
git checkout master
pip install -e .

License

Apache License 2.0

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