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<h1>Source code for dscript.commands.eval</h1><div class="highlight"><pre> |
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<span></span><span class="sd">"""</span> |
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<span class="sd">Evaluate a trained model.</span> |
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<span class="sd">"""</span> |
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<span class="kn">import</span> <span class="nn">sys</span><span class="o">,</span> <span class="nn">os</span> |
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<span class="kn">import</span> <span class="nn">argparse</span> |
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<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> |
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<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span> |
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<span class="kn">import</span> <span class="nn">torch</span> |
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<span class="kn">import</span> <span class="nn">h5py</span> |
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<span class="kn">import</span> <span class="nn">datetime</span> |
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<span class="kn">import</span> <span class="nn">matplotlib</span> |
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<span class="n">matplotlib</span><span class="o">.</span><span class="n">use</span><span class="p">(</span><span class="s2">"Agg"</span><span class="p">)</span> |
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<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span> |
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<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="kn">import</span> <span class="p">(</span> |
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<span class="n">precision_recall_curve</span><span class="p">,</span> |
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<span class="n">average_precision_score</span><span class="p">,</span> |
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<span class="n">roc_curve</span><span class="p">,</span> |
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<span class="n">roc_auc_score</span><span class="p">,</span> |
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<span class="p">)</span> |
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<span class="kn">from</span> <span class="nn">tqdm</span> <span class="kn">import</span> <span class="n">tqdm</span> |
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<span class="k">def</span> <span class="nf">add_args</span><span class="p">(</span><span class="n">parser</span><span class="p">):</span> |
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<span class="sd">"""</span> |
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<span class="sd"> Create parser for command line utility.</span> |
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<span class="sd"> :meta private:</span> |
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<span class="sd"> """</span> |
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<span class="n">parser</span><span class="o">.</span><span class="n">add_argument</span><span class="p">(</span><span class="s2">"--model"</span><span class="p">,</span> <span class="n">help</span><span class="o">=</span><span class="s2">"Trained prediction model"</span><span class="p">,</span> <span class="n">required</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> |
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<span class="n">parser</span><span class="o">.</span><span class="n">add_argument</span><span class="p">(</span><span class="s2">"--test"</span><span class="p">,</span> <span class="n">help</span><span class="o">=</span><span class="s2">"Test Data"</span><span class="p">,</span> <span class="n">required</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> |
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<span class="n">parser</span><span class="o">.</span><span class="n">add_argument</span><span class="p">(</span><span class="s2">"--embedding"</span><span class="p">,</span> <span class="n">help</span><span class="o">=</span><span class="s2">"h5 file with embedded sequences"</span><span class="p">,</span> <span class="n">required</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> |
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<span class="n">parser</span><span class="o">.</span><span class="n">add_argument</span><span class="p">(</span><span class="s2">"-o"</span><span class="p">,</span> <span class="s2">"--outfile"</span><span class="p">,</span> <span class="n">help</span><span class="o">=</span><span class="s2">"Output file to write results"</span><span class="p">)</span> |
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<span class="n">parser</span><span class="o">.</span><span class="n">add_argument</span><span class="p">(</span><span class="s2">"-d"</span><span class="p">,</span> <span class="s2">"--device"</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="nb">int</span><span class="p">,</span> <span class="n">default</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">help</span><span class="o">=</span><span class="s2">"Compute device to use"</span><span class="p">)</span> |
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<span class="k">return</span> <span class="n">parser</span> |
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<div class="viewcode-block" id="plot_eval_predictions"><a class="viewcode-back" href="../../../api/dscript.commands.html#dscript.commands.eval.plot_eval_predictions">[docs]</a><span class="k">def</span> <span class="nf">plot_eval_predictions</span><span class="p">(</span><span class="n">labels</span><span class="p">,</span> <span class="n">predictions</span><span class="p">,</span> <span class="n">path</span><span class="o">=</span><span class="s2">"figure"</span><span class="p">):</span> |
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<span class="sd">"""</span> |
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<span class="sd"> Plot histogram of positive and negative predictions, precision-recall curve, and receiver operating characteristic curve.</span> |
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<span class="sd"> :param y: Labels</span> |
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<span class="sd"> :type y: np.ndarray</span> |
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<span class="sd"> :param phat: Predicted probabilities</span> |
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<span class="sd"> :type phat: np.ndarray</span> |
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<span class="sd"> :param path: File prefix for plots to be saved to [default: figure]</span> |
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<span class="sd"> :type path: str</span> |
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<span class="sd"> """</span> |
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<span class="n">pos_phat</span> <span class="o">=</span> <span class="n">predictions</span><span class="p">[</span><span class="n">labels</span> <span class="o">==</span> <span class="mi">1</span><span class="p">]</span> |
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<span class="n">neg_phat</span> <span class="o">=</span> <span class="n">predictions</span><span class="p">[</span><span class="n">labels</span> <span class="o">==</span> <span class="mi">0</span><span class="p">]</span> |
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<span class="n">fig</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">)</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span> |
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<span class="n">fig</span><span class="o">.</span><span class="n">suptitle</span><span class="p">(</span><span class="s2">"Distribution of Predictions"</span><span class="p">)</span> |
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<span class="n">ax1</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">pos_phat</span><span class="p">)</span> |
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<span class="n">ax1</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> |
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<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">"Positive"</span><span class="p">)</span> |
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<span class="n">ax1</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">"p-hat"</span><span class="p">)</span> |
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<span class="n">ax2</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">neg_phat</span><span class="p">)</span> |
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<span class="n">ax2</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> |
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<span class="n">ax2</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">"Negative"</span><span class="p">)</span> |
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<span class="n">ax2</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">"p-hat"</span><span class="p">)</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">path</span> <span class="o">+</span> <span class="s2">".phat_dist.png"</span><span class="p">)</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">close</span><span class="p">()</span> |
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<span class="n">precision</span><span class="p">,</span> <span class="n">recall</span><span class="p">,</span> <span class="n">pr_thresh</span> <span class="o">=</span> <span class="n">precision_recall_curve</span><span class="p">(</span><span class="n">labels</span><span class="p">,</span> <span class="n">predictions</span><span class="p">)</span> |
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<span class="n">aupr</span> <span class="o">=</span> <span class="n">average_precision_score</span><span class="p">(</span><span class="n">labels</span><span class="p">,</span> <span class="n">predictions</span><span class="p">)</span> |
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<span class="nb">print</span><span class="p">(</span><span class="s2">"AUPR:"</span><span class="p">,</span> <span class="n">aupr</span><span class="p">)</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">recall</span><span class="p">,</span> <span class="n">precision</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">"b"</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">where</span><span class="o">=</span><span class="s2">"post"</span><span class="p">)</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">fill_between</span><span class="p">(</span><span class="n">recall</span><span class="p">,</span> <span class="n">precision</span><span class="p">,</span> <span class="n">step</span><span class="o">=</span><span class="s2">"post"</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">"b"</span><span class="p">)</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">"Recall"</span><span class="p">)</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">"Precision"</span><span class="p">)</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">([</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.05</span><span class="p">])</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">([</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">])</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Precision-Recall (AUPR: </span><span class="si">{:.3}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">aupr</span><span class="p">))</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">path</span> <span class="o">+</span> <span class="s2">".aupr.png"</span><span class="p">)</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">close</span><span class="p">()</span> |
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<span class="n">fpr</span><span class="p">,</span> <span class="n">tpr</span><span class="p">,</span> <span class="n">roc_thresh</span> <span class="o">=</span> <span class="n">roc_curve</span><span class="p">(</span><span class="n">labels</span><span class="p">,</span> <span class="n">predictions</span><span class="p">)</span> |
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<span class="n">auroc</span> <span class="o">=</span> <span class="n">roc_auc_score</span><span class="p">(</span><span class="n">labels</span><span class="p">,</span> <span class="n">predictions</span><span class="p">)</span> |
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<span class="nb">print</span><span class="p">(</span><span class="s2">"AUROC:"</span><span class="p">,</span> <span class="n">auroc</span><span class="p">)</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">fpr</span><span class="p">,</span> <span class="n">tpr</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">"b"</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">where</span><span class="o">=</span><span class="s2">"post"</span><span class="p">)</span> |
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|
<span class="n">plt</span><span class="o">.</span><span class="n">fill_between</span><span class="p">(</span><span class="n">fpr</span><span class="p">,</span> <span class="n">tpr</span><span class="p">,</span> <span class="n">step</span><span class="o">=</span><span class="s2">"post"</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">"b"</span><span class="p">)</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">"FPR"</span><span class="p">)</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">"TPR"</span><span class="p">)</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">([</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.05</span><span class="p">])</span> |
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|
<span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">([</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">])</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Receiver Operating Characteristic (AUROC: </span><span class="si">{:.3}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">auroc</span><span class="p">))</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">path</span> <span class="o">+</span> <span class="s2">".auroc.png"</span><span class="p">)</span> |
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<span class="n">plt</span><span class="o">.</span><span class="n">close</span><span class="p">()</span></div> |
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<span class="k">def</span> <span class="nf">main</span><span class="p">(</span><span class="n">args</span><span class="p">):</span> |
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<span class="sd">"""</span> |
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<span class="sd"> Run model evaluation from arguments.</span> |
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<span class="sd"> :meta private:</span> |
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<span class="sd"> """</span> |
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<span class="c1"># Set Device</span> |
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<span class="n">device</span> <span class="o">=</span> <span class="n">args</span><span class="o">.</span><span class="n">device</span> |
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<span class="n">use_cuda</span> <span class="o">=</span> <span class="p">(</span><span class="n">device</span> <span class="o">>=</span> <span class="mi">0</span><span class="p">)</span> <span class="ow">and</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> |
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<span class="k">if</span> <span class="n">use_cuda</span><span class="p">:</span> |
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<span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">set_device</span><span class="p">(</span><span class="n">device</span><span class="p">)</span> |
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<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"# Using CUDA device </span><span class="si">{</span><span class="n">device</span><span class="si">}</span><span class="s2"> - </span><span class="si">{</span><span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">get_device_name</span><span class="p">(</span><span class="n">device</span><span class="p">)</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span> |
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<span class="k">else</span><span class="p">:</span> |
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<span class="nb">print</span><span class="p">(</span><span class="s2">"# Using CPU"</span><span class="p">)</span> |
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<span class="c1"># Load Model</span> |
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<span class="n">model_path</span> <span class="o">=</span> <span class="n">args</span><span class="o">.</span><span class="n">model</span> |
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<span class="k">if</span> <span class="n">use_cuda</span><span class="p">:</span> |
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<span class="n">model</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">model_path</span><span class="p">)</span><span class="o">.</span><span class="n">cuda</span><span class="p">()</span> |
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<span class="k">else</span><span class="p">:</span> |
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<span class="n">model</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">model_path</span><span class="p">)</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span> |
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<span class="n">model</span><span class="o">.</span><span class="n">use_cuda</span> <span class="o">=</span> <span class="kc">False</span> |
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<span class="n">embeddingPath</span> <span class="o">=</span> <span class="n">args</span><span class="o">.</span><span class="n">embedding</span> |
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<span class="n">h5fi</span> <span class="o">=</span> <span class="n">h5py</span><span class="o">.</span><span class="n">File</span><span class="p">(</span><span class="n">embeddingPath</span><span class="p">,</span> <span class="s2">"r"</span><span class="p">)</span> |
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<span class="c1"># Load Pairs</span> |
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<span class="n">test_fi</span> <span class="o">=</span> <span class="n">args</span><span class="o">.</span><span class="n">test</span> |
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<span class="n">test_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">test_fi</span><span class="p">,</span> <span class="n">sep</span><span class="o">=</span><span class="s2">"</span><span class="se">\t</span><span class="s2">"</span><span class="p">,</span> <span class="n">header</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span> |
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<span class="k">if</span> <span class="n">args</span><span class="o">.</span><span class="n">outfile</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> |
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<span class="n">outPath</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">datetime</span><span class="o">.</span><span class="n">now</span><span class="p">()</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s2">"%Y-%m-</span><span class="si">%d</span><span class="s2">-%H-%M"</span><span class="p">)</span> |
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<span class="k">else</span><span class="p">:</span> |
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<span class="n">outPath</span> <span class="o">=</span> <span class="n">args</span><span class="o">.</span><span class="n">outfile</span> |
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<span class="n">outFile</span> <span class="o">=</span> <span class="nb">open</span><span class="p">(</span><span class="n">outPath</span> <span class="o">+</span> <span class="s2">".predictions.tsv"</span><span class="p">,</span> <span class="s2">"w+"</span><span class="p">)</span> |
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<span class="n">allProteins</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">test_df</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span><span class="o">.</span><span class="n">union</span><span class="p">(</span><span class="n">test_df</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span> |
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<span class="n">seqEmbDict</span> <span class="o">=</span> <span class="p">{}</span> |
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<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="n">allProteins</span><span class="p">,</span> <span class="n">desc</span><span class="o">=</span><span class="s2">"Loading embeddings"</span><span class="p">):</span> |
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<span class="n">seqEmbDict</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">from_numpy</span><span class="p">(</span><span class="n">h5fi</span><span class="p">[</span><span class="n">i</span><span class="p">][:])</span><span class="o">.</span><span class="n">float</span><span class="p">()</span> |
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<span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span> |
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<span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span> |
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<span class="n">phats</span> <span class="o">=</span> <span class="p">[]</span> |
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<span class="n">labels</span> <span class="o">=</span> <span class="p">[]</span> |
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<span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="p">(</span><span class="n">n0</span><span class="p">,</span> <span class="n">n1</span><span class="p">,</span> <span class="n">label</span><span class="p">)</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="n">test_df</span><span class="o">.</span><span class="n">iterrows</span><span class="p">(),</span> <span class="n">total</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">test_df</span><span class="p">),</span> <span class="n">desc</span><span class="o">=</span><span class="s2">"Predicting pairs"</span><span class="p">):</span> |
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<span class="k">try</span><span class="p">:</span> |
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<span class="n">p0</span> <span class="o">=</span> <span class="n">seqEmbDict</span><span class="p">[</span><span class="n">n0</span><span class="p">]</span> |
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<span class="n">p1</span> <span class="o">=</span> <span class="n">seqEmbDict</span><span class="p">[</span><span class="n">n1</span><span class="p">]</span> |
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<span class="k">if</span> <span class="n">use_cuda</span><span class="p">:</span> |
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<span class="n">p0</span> <span class="o">=</span> <span class="n">p0</span><span class="o">.</span><span class="n">cuda</span><span class="p">()</span> |
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<span class="n">p1</span> <span class="o">=</span> <span class="n">p1</span><span class="o">.</span><span class="n">cuda</span><span class="p">()</span> |
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<span class="n">pred</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">p0</span><span class="p">,</span> <span class="n">p1</span><span class="p">)</span><span class="o">.</span><span class="n">item</span><span class="p">()</span> |
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<span class="n">phats</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">pred</span><span class="p">)</span> |
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<span class="n">labels</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">label</span><span class="p">)</span> |
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<span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="si">{}</span><span class="se">\t</span><span class="si">{}</span><span class="se">\t</span><span class="si">{}</span><span class="se">\t</span><span class="si">{:.5}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n0</span><span class="p">,</span> <span class="n">n1</span><span class="p">,</span> <span class="n">label</span><span class="p">,</span> <span class="n">pred</span><span class="p">),</span> <span class="n">file</span><span class="o">=</span><span class="n">outFile</span><span class="p">)</span> |
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<span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span> |
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<span class="n">sys</span><span class="o">.</span><span class="n">stderr</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">"</span><span class="si">{}</span><span class="s2"> x </span><span class="si">{}</span><span class="s2"> - </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n0</span><span class="p">,</span> <span class="n">n1</span><span class="p">,</span> <span class="n">e</span><span class="p">))</span> |
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<span class="n">phats</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">phats</span><span class="p">)</span> |
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<span class="n">labels</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">labels</span><span class="p">)</span> |
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<span class="n">plot_eval_predictions</span><span class="p">(</span><span class="n">labels</span><span class="p">,</span> <span class="n">phats</span><span class="p">,</span> <span class="n">outPath</span><span class="p">)</span> |
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<span class="n">outFile</span><span class="o">.</span><span class="n">close</span><span class="p">()</span> |
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<span class="n">h5fi</span><span class="o">.</span><span class="n">close</span><span class="p">()</span> |
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<span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s2">"__main__"</span><span class="p">:</span> |
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<span class="n">parser</span> <span class="o">=</span> <span class="n">argparse</span><span class="o">.</span><span class="n">ArgumentParser</span><span class="p">(</span><span class="n">description</span><span class="o">=</span><span class="vm">__doc__</span><span class="p">)</span> |
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<span class="n">add_args</span><span class="p">(</span><span class="n">parser</span><span class="p">)</span> |
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<span class="n">main</span><span class="p">(</span><span class="n">parser</span><span class="o">.</span><span class="n">parse_args</span><span class="p">())</span> |
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