# heamy

**Repository Path**: mirrors_rushter/heamy

## Basic Information

- **Project Name**: heamy
- **Description**: A set of useful tools for competitive data science.
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-01-10
- **Last Updated**: 2026-02-09

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## 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/