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<h1>Get started</h1>
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<h2> Contents </h2>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#installation">Installation</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#run-an-existing-benchmark">Run an existing benchmark</a></li>
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<section id="get-started">
<span id="id1"></span><h1>Get started<a class="headerlink" href="#get-started" title="Link to this heading">#</a></h1>
<section id="installation">
<h2>Installation<a class="headerlink" href="#installation" title="Link to this heading">#</a></h2>
<p>The recommended way to use benchopt is within a conda environment to fully benefit from all its features.
Hence, start by creating a dedicated conda environment and then activate it.</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><style type="text/css">
span.prompt1:before {
content: "$ ";
}
</style><span class="prompt1">conda<span class="w"> </span>create<span class="w"> </span>-n<span class="w"> </span>benchopt<span class="w"> </span>python</span>
<span class="prompt1">conda<span class="w"> </span>activate<span class="w"> </span>benchopt</span>
</pre></div></div><p>Benchopt is available on PyPi.
Get the <strong>stable version</strong> via <code class="docutils literal notranslate"><span class="pre">pip</span></code> by running:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span class="prompt1">pip<span class="w"> </span>install<span class="w"> </span>-U<span class="w"> </span>benchopt</span>
</pre></div></div><p>This will install the command line tool to run and process the benchmark.</p>
<p>If instead you want to install the <strong>development version</strong>, use</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span class="prompt1">pip<span class="w"> </span>install<span class="w"> </span>--pre<span class="w"> </span>benchopt<span class="w"> </span>-U<span class="w"> </span>-i<span class="w"> </span>https://test.pypi.org/simple</span>
</pre></div></div><div class="admonition attention">
<p class="admonition-title">Attention</p>
<p>The <strong>development version</strong> is a work in progress and hence might contain incomplete features.
A typical user is advised to use the <strong>stable version</strong> instead.</p>
</div>
</section>
<section id="run-an-existing-benchmark">
<h2>Run an existing benchmark<a class="headerlink" href="#run-an-existing-benchmark" title="Link to this heading">#</a></h2>
<p>Let’s get the first steps with benchopt by comparing some solvers of the
<a class="reference external" href="https://en.wikipedia.org/wiki/Lasso_(statistics)">Lasso problem</a> on the
<a class="reference external" href="https://www.science.org/doi/10.1126/science.286.5439.531">Leukemia dataset</a>.</p>
<p>Start by cloning the Lasso benchmark repository and <code class="docutils literal notranslate"><span class="pre">cd</span></code> into it.</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span class="prompt1">git<span class="w"> </span>clone<span class="w"> </span>https://github.com/benchopt/benchmark_lasso.git</span>
<span class="prompt1"><span class="nb">cd</span><span class="w"> </span>benchmark_lasso</span>
</pre></div></div><p>Then, use benchopt to install the requirements for the solvers <a class="reference external" href="https://contrib.scikit-learn.org/skglm/">skglm</a>,
<a class="reference external" href="https://scikit-learn.org/stable/">scikit-learn</a>, and the dataset Leukemia.</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span class="prompt1">benchopt<span class="w"> </span>install<span class="w"> </span>-s<span class="w"> </span>skglm<span class="w"> </span>-s<span class="w"> </span>sklearn<span class="w"> </span>-d<span class="w"> </span>leukemia</span>
</pre></div></div><p>Finally, run the benchmark:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span class="prompt1">benchopt<span class="w"> </span>run<span class="w"> </span>.<span class="w"> </span>-s<span class="w"> </span>skglm<span class="w"> </span>-s<span class="w"> </span>sklearn<span class="w"> </span>-d<span class="w"> </span>leukemia</span>
</pre></div></div><div class="admonition note">
<p class="admonition-title">Note</p>
<p>To explore all benchopt CLI features, refer to <a class="reference internal" href="user_guide/CLI_ref.html#cli-ref"><span class="std std-ref">Command line interface (CLI) references</span></a>
or run <code class="docutils literal notranslate"><span class="pre">benchopt</span> <span class="pre">--help</span></code> or <code class="docutils literal notranslate"><span class="pre">benchopt</span> <span class="pre">COMMAND_NAME</span> <span class="pre">--help</span></code>.</p>
</div>
<p>When the run is finished, benchopt automatically opens a window in your default browser and renders the results as a dashboard.</p>
<figure class="align-center">
<img alt="Dashboard of the Lasso benchmark results" src="_images/results-get-started-lasso.png" />
</figure>
<p>The dashboard displays benchmark-defined metrics tracked throughout the benchmark run such as the evolution of the objective value over time.</p>
</section>
<section id="what-s-next">
<h2>What’s next?<a class="headerlink" href="#what-s-next" title="Link to this heading">#</a></h2>
<p>After this glimpse of benchopt, explore more advanced topics such as writing your own benchmark, modifying an existing one, and customizing the benchmark’s run options.</p>
</section>
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