Deployed be70f60 with MkDocs version: 1.5.3

endpoints/index.html

@@ -345,7 +345,7 @@
 <div class="md-content" data-md-component="content">
 <article class="md-content__inner md-typeset">
 <h1 id="endpoints">Endpoints</h1>
-<p><iframe class="swagger-ui-iframe" frameborder="0" id="359ade3d" src="swagger-359ade3d.html" style="overflow:hidden;width:100%;" width="100%"></iframe></p>
+<p><iframe class="swagger-ui-iframe" frameborder="0" id="d4887b35" src="swagger-d4887b35.html" style="overflow:hidden;width:100%;" width="100%"></iframe></p>
 </article>
 </div>
 <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script>

endpoints/swagger-359ade3d.html → endpoints/swagger-d4887b35.html

@@ -58,7 +58,7 @@
     }
 
     const resize_ob = new ResizeObserver(function(entries) {
-      parent.update_swagger_ui_iframe_height("359ade3d");
+      parent.update_swagger_ui_iframe_height("d4887b35");
     });
 
     // start observing for resizing

metrics/index.html

@@ -535,10 +535,10 @@ <h4 id="determining-the-rate-of-correct-predictions">Determining the Rate of Cor
 </table>
 <ul>
 <li>
-<p>$\text{True Positive Rate (TPR)} = \dfrac{|TP|}{|TP| + |FN|} = \dfrac{|TP(threshold)|}{|TP(threshold)| + |FN(threshold)|}$</p>
+<p>$$\text{True Positive Rate (TPR)} = \dfrac{|TP|}{|TP| + |FN|} = \dfrac{|TP(threshold)|}{|TP(threshold)| + |FN(threshold)|}$$</p>
 </li>
 <li>
-<p>$\text{False Positive Rate (FPR)} = \dfrac{|FP|}{|FP| + |TN|} = \dfrac{|FP(threshold)|}{|FP(threshold)| + |TN(threshold)|}$</p>
+<p>$$\text{False Positive Rate (FPR)} = \dfrac{|FP|}{|FP| + |TN|} = \dfrac{|FP(threshold)|}{|FP(threshold)| + |TN(threshold)|}$$</p>
 </li>
 </ul>
 <p>We now use the confidence scores, sorted in decreasing order, as our thresholds in order to generate points on a curve.</p>
@@ -585,10 +585,10 @@ <h3 id="multiclass-precision-and-recall">Multiclass Precision and Recall</h3>
 </table>
 <ul>
 <li>
-<p>$Precision = \dfrac{|TP|}{|TP| + |FP|} = \dfrac{\text{Number of True Predictions}}{|\text{Predictions}|}$</p>
+<p>$$Precision = \dfrac{|TP|}{|TP| + |FP|} = \dfrac{\text{Number of True Predictions}}{|\text{Predictions}|}$$</p>
 </li>
 <li>
-<p>$Recall = \dfrac{|TP|}{|TP| + |FN|} = \dfrac{\text{Number of True Predictions}}{|\text{Groundtruths}|}$</p>
+<p>$$Recall = \dfrac{|TP|}{|TP| + |FN|} = \dfrac{\text{Number of True Predictions}}{|\text{Groundtruths}|}$$</p>
 </li>
 </ul>
 <h3 id="matching-ground-truths-with-predictions">Matching Ground Truths with Predictions</h3>