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  <div class="section" id="deeppurpose-oneliner-repurpose">

<h1>DeepPurpose.oneliner.repurpose<a class="headerlink" href="#deeppurpose-oneliner-repurpose" title="Permalink to this headline"></a></h1>

<p>text:todo</p>

<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">repurpose</span><span class="p">(</span><span class="n">target</span><span class="p">,</span> <span class="n">target_name</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>

                        <span class="n">X_repurpose</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>

                        <span class="n">drug_names</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>

                        <span class="n">train_drug</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>

                        <span class="n">train_target</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>

                        <span class="n">train_y</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>

                        <span class="n">save_dir</span> <span class="o">=</span> <span class="s1">&#39;./save_folder&#39;</span><span class="p">,</span>

                        <span class="n">pretrained_dir</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>

                        <span class="n">finetune_epochs</span> <span class="o">=</span> <span class="mi">10</span><span class="p">,</span>

                        <span class="n">finetune_LR</span> <span class="o">=</span> <span class="mf">0.001</span><span class="p">,</span>

                        <span class="n">finetune_batch_size</span> <span class="o">=</span> <span class="mi">32</span><span class="p">,</span>

                        <span class="n">convert_y</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>

                        <span class="n">subsample_frac</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>

                        <span class="n">pretrained</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>

                        <span class="n">split</span> <span class="o">=</span> <span class="s1">&#39;random&#39;</span><span class="p">,</span>

                        <span class="n">frac</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.7</span><span class="p">,</span><span class="mf">0.1</span><span class="p">,</span><span class="mf">0.2</span><span class="p">],</span>

                        <span class="n">agg</span> <span class="o">=</span> <span class="s1">&#39;agg_mean_max&#39;</span><span class="p">,</span>

                        <span class="n">output_len</span> <span class="o">=</span> <span class="mi">30</span><span class="p">):</span>

</pre></div>

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