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py-modindex.html
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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="X-UA-Compatible" content="IE=Edge" />
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>scikit-multilearn: Multi-Label Classification in Python — Multi-Label Classification for Python</title>
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<meta name="twitter:description" content="A native Python implementation of a variety of multi-label classification algorithms. Includes a Meka, MULAN, Weka wrapper. BSD licensed.">
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<meta property="og:title" content="scikit-multilearn | Multi-label classification package for python" />
<meta property="og:description" content="A native Python implementation of a variety of multi-label classification algorithms. Includes a Meka, MULAN, Weka wrapper. BSD licensed." />
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<div class="main-text section col s12 m8 offset-m1 xl9 offset-xl3">
<h1>Python Module Index</h1>
<div class="modindex-jumpbox">
<a href="#cap-s"><strong>s</strong></a>
</div>
<table class="indextable modindextable">
<tr class="pcap"><td></td><td> </td><td></td></tr>
<tr class="cap" id="cap-s"><td></td><td>
<strong>s</strong></td><td></td></tr>
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<code class="xref">skmultilearn</code></td><td>
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<td>   
<a href="api/skmultilearn.html#module-skmultilearn.adapt"><code class="xref">skmultilearn.adapt</code></a></td><td>
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<tr class="cg-1">
<td></td>
<td>   
<a href="api/skmultilearn.base.base.html#module-skmultilearn.base.base"><code class="xref">skmultilearn.base.base</code></a></td><td>
<em></em></td></tr>
<tr class="cg-1">
<td></td>
<td>   
<a href="api/skmultilearn.base.problem_transformation.html#module-skmultilearn.base.problem_transformation"><code class="xref">skmultilearn.base.problem_transformation</code></a></td><td>
<em></em></td></tr>
<tr class="cg-1">
<td></td>
<td>   
<a href="api/skmultilearn.html#module-skmultilearn.cluster"><code class="xref">skmultilearn.cluster</code></a></td><td>
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<a href="api/skmultilearn.cluster.base.html#module-skmultilearn.cluster.base"><code class="xref">skmultilearn.cluster.base</code></a></td><td>
<em></em></td></tr>
<tr class="cg-1">
<td></td>
<td>   
<a href="api/skmultilearn.dataset.html#module-skmultilearn.dataset"><code class="xref">skmultilearn.dataset</code></a></td><td>
<em></em></td></tr>
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<td></td>
<td>   
<a href="api/skmultilearn.html#module-skmultilearn.embedding"><code class="xref">skmultilearn.embedding</code></a></td><td>
<em></em></td></tr>
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<td></td>
<td>   
<a href="api/skmultilearn.html#module-skmultilearn.ensemble"><code class="xref">skmultilearn.ensemble</code></a></td><td>
<em></em></td></tr>
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<td></td>
<td>   
<a href="api/skmultilearn.html#module-skmultilearn.ext"><code class="xref">skmultilearn.ext</code></a></td><td>
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<td></td>
<td>   
<a href="api/skmultilearn.html#module-skmultilearn.model_selection"><code class="xref">skmultilearn.model_selection</code></a></td><td>
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<td></td>
<td>   
<a href="api/skmultilearn.model_selection.iterative_stratification.html#module-skmultilearn.model_selection.iterative_stratification"><code class="xref">skmultilearn.model_selection.iterative_stratification</code></a></td><td>
<em></em></td></tr>
<tr class="cg-1">
<td></td>
<td>   
<a href="api/skmultilearn.model_selection.measures.html#module-skmultilearn.model_selection.measures"><code class="xref">skmultilearn.model_selection.measures</code></a></td><td>
<em></em></td></tr>
<tr class="cg-1">
<td></td>
<td>   
<a href="api/skmultilearn.html#module-skmultilearn.problem_transform"><code class="xref">skmultilearn.problem_transform</code></a></td><td>
<em></em></td></tr>
<tr class="cg-1">
<td></td>
<td>   
<a href="api/skmultilearn.utils.html#module-skmultilearn.utils"><code class="xref">skmultilearn.utils</code></a></td><td>
<em></em></td></tr>
</table>
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<h3>Navigation</h3>
<ul>
<li class="right" style="margin-right: 10px">
<a href="genindex.html" title="General Index"
accesskey="I">index</a></li>
<li class="right" >
<a href="#" title="Python Module Index"
>modules</a> |</li>
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<h5 class="white-text">Cite US!</h5>
<p>If you use scikit-multilearn in your research and publish it, please consider citing us, it will help us get funding for making the library better. The paper is available on <a href="https://arxiv.org/abs/1702.01460">arXiv</a>, to cite it try the Bibtex code on the right.</p>
</div>
<div class="col l4 s12">
<pre><code>
@ARTICLE{2017arXiv170201460S,
author = {{Szyma{\'n}ski}, P. and {Kajdanowicz}, T.},
title = "{A scikit-based Python environment for performing multi-label classification}",
journal = {ArXiv e-prints},
archivePrefix = "arXiv",
eprint = {1702.01460},
primaryClass = "cs.LG",
keywords = {Computer Science - Learning, Computer Science - Mathematical Software},
year = 2017,
month = feb,
}
</code></pre>
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