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<div class="section" id="algorithms">
<h1>Algorithms<a class="headerlink" href="#algorithms" title="Permalink to this headline">ΒΆ</a></h1>
<p>SystemDS support different Machine learning algorithms out of the box.</p>
<p>As an example the lm algorithm can be used as follows:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># Import numpy and SystemDS matrix</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">systemds.context</span> <span class="kn">import</span> <span class="n">SystemDSContext</span>
<span class="kn">from</span> <span class="nn">systemds.matrix</span> <span class="kn">import</span> <span class="n">Matrix</span>
<span class="kn">from</span> <span class="nn">systemds.operator.algorithm</span> <span class="kn">import</span> <span class="n">lm</span>
<span class="c1"># Set a seed</span>
<span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="c1"># Generate matrix of feature vectors</span>
<span class="n">features</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">15</span><span class="p">)</span>
<span class="c1"># Generate a 1-column matrix of response values</span>
<span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="c1"># compute the weights</span>
<span class="k">with</span> <span class="n">SystemDSContext</span><span class="p">()</span> <span class="k">as</span> <span class="n">sds</span><span class="p">:</span>
<span class="n">weights</span> <span class="o">=</span> <span class="n">lm</span><span class="p">(</span><span class="n">Matrix</span><span class="p">(</span><span class="n">sds</span><span class="p">,</span> <span class="n">features</span><span class="p">),</span> <span class="n">Matrix</span><span class="p">(</span><span class="n">sds</span><span class="p">,</span> <span class="n">y</span><span class="p">))</span><span class="o">.</span><span class="n">compute</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="n">weights</span><span class="p">)</span>
</pre></div>
</div>
<p>The output should be similar to:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">[[</span><span class="o">-</span><span class="mf">0.11538199</span><span class="p">]</span>
<span class="p">[</span><span class="o">-</span><span class="mf">0.20386541</span><span class="p">]</span>
<span class="p">[</span><span class="o">-</span><span class="mf">0.39956035</span><span class="p">]</span>
<span class="p">[</span> <span class="mf">1.04078623</span><span class="p">]</span>
<span class="p">[</span> <span class="mf">0.4327084</span> <span class="p">]</span>
<span class="p">[</span> <span class="mf">0.18954599</span><span class="p">]</span>
<span class="p">[</span> <span class="mf">0.49858968</span><span class="p">]</span>
<span class="p">[</span><span class="o">-</span><span class="mf">0.26812763</span><span class="p">]</span>
<span class="p">[</span> <span class="mf">0.09961844</span><span class="p">]</span>
<span class="p">[</span><span class="o">-</span><span class="mf">0.57000751</span><span class="p">]</span>
<span class="p">[</span><span class="o">-</span><span class="mf">0.43386048</span><span class="p">]</span>
<span class="p">[</span> <span class="mf">0.55358873</span><span class="p">]</span>
<span class="p">[</span><span class="o">-</span><span class="mf">0.54638565</span><span class="p">]</span>
<span class="p">[</span> <span class="mf">0.2205885</span> <span class="p">]</span>
<span class="p">[</span> <span class="mf">0.37957689</span><span class="p">]]</span>
</pre></div>
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