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Guillaume Lemaitre
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AUTHORS.rst

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Refers to GitHub contributors page_.
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.. _scikit-learn: http://scikit-learn.org
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.. _page: https://github.com/fmfn/UnbalancedDataset/graphs/contributors
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.. _page: https://github.com/scikit-learn-contrib/imbalanced-learn/graphs/contributors

CONTRIBUTING.md

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Contributing code
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=================
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This guide is adapted from (scikit-learn)[https://github.com/viisar/brew/blob/master/CONTRIBUTING.rst]
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This guide is adapted from (scikit-learn)[https://github.com/scikit-learn/scikit-learn/blob/master/CONTRIBUTING.md]
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How to contribute
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-----------------
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The preferred way to contribute to imbalanced-learn is to fork the
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[main repository](https://github.com/fmfn/UnbalancedDataset) on
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[main repository](https://github.com/scikit-learn-contrib/imbalanced-learn) on
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GitHub:
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1. Fork the [project repository](https://github.com/fmfn/UnbalancedDataset):
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1. Fork the [project repository](https://github.com/scikit-learn-contrib/imbalanced-learn):
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click on the 'Fork' button near the top of the page. This creates
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a copy of the code under your account on the GitHub server.
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following rules before submitting:
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- Verify that your issue is not being currently addressed by other
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[issues](https://github.com/fmfn/UnbalancedDataset/issues?q=)
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or [pull requests](https://github.com/fmfn/UnbalancedDataset/pulls?q=).
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[issues](https://github.com/scikit-learn-contrib/imbalanced-learn/issues?q=)
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or [pull requests](https://github.com/scikit-learn-contrib/imbalanced-learn/pulls?q=).
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- Please ensure all code snippets and error messages are formatted in
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appropriate code blocks.

README.rst

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Installation documentation, API documentation, and examples can be found on the documentation_.
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.. _documentation: http://glemaitre.github.io/imbalanced-learn
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.. _documentation: http://contrib.scikit-learn.org/imbalanced-learn/
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Installation
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============
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If you prefer, you can clone it and run the setup.py file. Use the following commands to get a
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copy from Github and install all dependencies::
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git clone https://github.com/fmfn/imbalanced-learn.git
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git clone https://github.com/scikit-learn-contrib/imbalanced-learn.git
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cd imbalanced-learn
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python setup.py install
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The different algorithms are presented in the following notebook_.
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.. _notebook: https://github.com/fmfn/UnbalancedDataset/blob/master/examples/plot_unbalanced_dataset.ipynb
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.. _notebook: https://github.com/scikit-learn-contrib/imbalanced-learn/blob/master/examples/plot_unbalanced_dataset.ipynb
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This is a work in progress. Any comments, suggestions or corrections are welcome.
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conda-recipe/meta.yaml

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source:
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git_rev: 0.1.1
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git_url: https://github.com/fmfn/UnbalancedDataset.git
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git_url: https://github.com/scikit-learn-contrib/imbalanced-learn.git
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requirements:
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build:
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- imblearn
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about:
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home: https://github.com/fmfn/UnbalancedDataset
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home: https://github.com/scikit-learn-contrib/imbalanced-learn
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license: MIT
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license_file: LICENSE
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doc/install.rst

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If you prefer, you can clone it and run the setup.py file. Use the following commands to get a
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copy from Github and install all dependencies::
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git clone https://github.com/fmfn/UnbalancedDataset.git
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cd UnbalancedDataset
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git clone https://github.com/scikit-learn-contrib/imbalanced-learn.git
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cd imbalanced-learn
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python setup.py install
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Test and coverage
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You can contribute to this code through Pull Request on GitHub_. Please, make sure that your code is coming with unit tests to ensure full coverage and continuous integration in the API.
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.. _GitHub: https://github.com/fmfn/UnbalancedDataset.git
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.. _GitHub: https://github.com/scikit-learn-contrib/imbalanced-learn/pulls

setup.py

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LONG_DESCRIPTION = f.read()
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MAINTAINER = 'G. Lemaitre, F. Nogueira, D. Oliveira, C. Aridas'
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URL = 'https://github.com/fmfn/UnbalancedDataset'
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URL = 'https://github.com/scikit-learn-contrib/imbalanced-learn'
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LICENSE = 'new BSD'
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DOWNLOAD_URL = 'https://github.com/fmfn/UnbalancedDataset'
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DOWNLOAD_URL = 'https://github.com/scikit-learn-contrib/imbalanced-learn'
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VERSION = _VERSION_GLOBALS['__version__']
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