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Heamy

A set of useful tools for competitive data science.

Install / Use

/learn @rushter/Heamy
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

===== heamy

.. image:: https://img.shields.io/pypi/v/heamy.svg :target: https://pypi.python.org/pypi/heamy

.. image:: https://img.shields.io/travis/rushter/heamy.svg :target: https://travis-ci.org/rushter/heamy

.. image:: https://coveralls.io/repos/github/rushter/heamy/badge.svg?branch=master :target: https://coveralls.io/github/rushter/heamy?branch=master

A set of useful tools for competitive data science.

Installation

To install Heamy, simply:

.. code:: bash

$ pip install -U heamy

Features

  • Automatic caching (data preprocessing, predictions from models)
  • Ensemble learning (stacking, blending, weighted average, etc.).

Links

  • API reference: http://heamy.readthedocs.io/en/latest/
  • Examples: https://github.com/rushter/heamy/tree/master/examples
  • Ensemble learning guide http://mlwave.com/kaggle-ensembling-guide/
View on GitHub
GitHub Stars552
CategoryData
Updated3d ago
Forks110

Languages

Python

Security Score

100/100

Audited on Mar 28, 2026

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