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<ul>
<li><a class="reference internal" href="#"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.datasets</span></code>.dump_svmlight_file</a><ul>
<li><a class="reference internal" href="#sklearn.datasets.dump_svmlight_file"><code class="docutils literal notranslate"><span class="pre">dump_svmlight_file</span></code></a></li>
<li><a class="reference internal" href="#examples-using-sklearn-datasets-dump-svmlight-file">Examples using <code class="docutils literal notranslate"><span class="pre">sklearn.datasets.dump_svmlight_file</span></code></a></li>
</ul>
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<section id="sklearn-datasets-dump-svmlight-file">
<h1><a class="reference internal" href="../classes.html#module-sklearn.datasets" title="sklearn.datasets"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.datasets</span></code></a>.dump_svmlight_file<a class="headerlink" href="#sklearn-datasets-dump-svmlight-file" title="Permalink to this heading">¶</a></h1>
<dl class="py function">
<dt class="sig sig-object py" id="sklearn.datasets.dump_svmlight_file">
<span class="sig-prename descclassname"><span class="pre">sklearn.datasets.</span></span><span class="sig-name descname"><span class="pre">dump_svmlight_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">f</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zero_based</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">comment</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">query_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multilabel</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/3f89022fa/sklearn/datasets/_svmlight_format_io.py#L444"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sklearn.datasets.dump_svmlight_file" title="Permalink to this definition">¶</a></dt>
<dd><p>Dump the dataset in svmlight / libsvm file format.</p>
<p>This format is a text-based format, with one sample per line. It does
not store zero valued features hence is suitable for sparse dataset.</p>
<p>The first element of each line can be used to store a target variable
to predict.</p>
<dl class="field-list">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl>
<dt><strong>X</strong><span class="classifier">{array-like, sparse matrix} of shape (n_samples, n_features)</span></dt><dd><p>Training vectors, where <code class="docutils literal notranslate"><span class="pre">n_samples</span></code> is the number of samples and
<code class="docutils literal notranslate"><span class="pre">n_features</span></code> is the number of features.</p>
</dd>
<dt><strong>y</strong><span class="classifier">{array-like, sparse matrix}, shape = (n_samples,) or (n_samples, n_labels)</span></dt><dd><p>Target values. Class labels must be an
integer or float, or array-like objects of integer or float for
multilabel classifications.</p>
</dd>
<dt><strong>f</strong><span class="classifier">str or file-like in binary mode</span></dt><dd><p>If string, specifies the path that will contain the data.
If file-like, data will be written to f. f should be opened in binary
mode.</p>
</dd>
<dt><strong>zero_based</strong><span class="classifier">bool, default=True</span></dt><dd><p>Whether column indices should be written zero-based (True) or one-based
(False).</p>
</dd>
<dt><strong>comment</strong><span class="classifier">str or bytes, default=None</span></dt><dd><p>Comment to insert at the top of the file. This should be either a
Unicode string, which will be encoded as UTF-8, or an ASCII byte
string.
If a comment is given, then it will be preceded by one that identifies
the file as having been dumped by scikit-learn. Note that not all
tools grok comments in SVMlight files.</p>
</dd>
<dt><strong>query_id</strong><span class="classifier">array-like of shape (n_samples,), default=None</span></dt><dd><p>Array containing pairwise preference constraints (qid in svmlight
format).</p>
</dd>
<dt><strong>multilabel</strong><span class="classifier">bool, default=False</span></dt><dd><p>Samples may have several labels each (see
<a class="reference external" href="https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multilabel.html">https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multilabel.html</a>).</p>
<div class="versionadded">
<p><span class="versionmodified added">New in version 0.17: </span>parameter <code class="docutils literal notranslate"><span class="pre">multilabel</span></code> to support multilabel datasets.</p>
</div>
</dd>
</dl>
</dd>
</dl>
</dd></dl>
<section id="examples-using-sklearn-datasets-dump-svmlight-file">
<h2>Examples using <code class="docutils literal notranslate"><span class="pre">sklearn.datasets.dump_svmlight_file</span></code><a class="headerlink" href="#examples-using-sklearn-datasets-dump-svmlight-file" title="Permalink to this heading">¶</a></h2>
<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="A simple graphical frontend for Libsvm mainly intended for didactic purposes. You can create da..."><img alt="" src="../../_images/sphx_glr_svm_gui_thumb.png" />
<p><a class="reference internal" href="../../auto_examples/applications/svm_gui.html#sphx-glr-auto-examples-applications-svm-gui-py"><span class="std std-ref">Libsvm GUI</span></a></p>
<div class="sphx-glr-thumbnail-title">Libsvm GUI</div>
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