deploy: ab6b1b2

01_1_train_CF.html

@@ -995,8 +995,8 @@ <h3>Training<a class="headerlink" href="#training" title="Link to this heading">
         background: #F44336;
     }
 </style>
-</div><div class="output text_html"></div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>suggested_lr.valley = 0.00525
-No improvement since epoch 12: early stopping
+</div><div class="output text_html"></div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>suggested_lr.valley = 0.00437
+No improvement since epoch 13: early stopping
 pimmslearn.plotting - INFO     Saved Figures to runs/alzheimer_study/figures/collab_training
 </pre></div>
 </div>
@@ -1032,91 +1032,97 @@ <h3>Training<a class="headerlink" href="#training" title="Link to this heading">
   <tbody>
     <tr>
       <td>0</td>
-      <td>8.257547</td>
-      <td>11.904173</td>
+      <td>8.467487</td>
+      <td>12.467582</td>
       <td>00:01</td>
     </tr>
     <tr>
       <td>1</td>
-      <td>4.174598</td>
-      <td>5.588789</td>
+      <td>5.557862</td>
+      <td>7.727717</td>
       <td>00:01</td>
     </tr>
     <tr>
       <td>2</td>
-      <td>1.226727</td>
-      <td>1.584782</td>
+      <td>1.905635</td>
+      <td>2.591100</td>
       <td>00:01</td>
     </tr>
     <tr>
       <td>3</td>
-      <td>0.643592</td>
-      <td>0.818162</td>
+      <td>0.770119</td>
+      <td>0.994885</td>
       <td>00:01</td>
     </tr>
     <tr>
       <td>4</td>
-      <td>0.559073</td>
-      <td>0.738511</td>
+      <td>0.580846</td>
+      <td>0.747995</td>
       <td>00:01</td>
     </tr>
     <tr>
       <td>5</td>
-      <td>0.548573</td>
-      <td>0.721786</td>
+      <td>0.546528</td>
+      <td>0.716147</td>
       <td>00:01</td>
     </tr>
     <tr>
       <td>6</td>
-      <td>0.505065</td>
-      <td>0.667109</td>
+      <td>0.506103</td>
+      <td>0.677107</td>
       <td>00:01</td>
     </tr>
     <tr>
       <td>7</td>
-      <td>0.430037</td>
-      <td>0.589586</td>
+      <td>0.458893</td>
+      <td>0.625565</td>
       <td>00:01</td>
     </tr>
     <tr>
       <td>8</td>
-      <td>0.384793</td>
-      <td>0.540829</td>
+      <td>0.407661</td>
+      <td>0.566880</td>
       <td>00:01</td>
     </tr>
     <tr>
       <td>9</td>
-      <td>0.358451</td>
-      <td>0.517491</td>
+      <td>0.375084</td>
+      <td>0.537003</td>
       <td>00:01</td>
     </tr>
     <tr>
       <td>10</td>
-      <td>0.324597</td>
-      <td>0.491056</td>
+      <td>0.344900</td>
+      <td>0.509032</td>
       <td>00:01</td>
     </tr>
     <tr>
       <td>11</td>
-      <td>0.284698</td>
-      <td>0.480374</td>
+      <td>0.311970</td>
+      <td>0.482392</td>
       <td>00:01</td>
     </tr>
     <tr>
       <td>12</td>
-      <td>0.255366</td>
-      <td>0.464111</td>
+      <td>0.275118</td>
+      <td>0.465999</td>
       <td>00:01</td>
     </tr>
     <tr>
       <td>13</td>
-      <td>0.231677</td>
-      <td>0.476437</td>
+      <td>0.249893</td>
+      <td>0.462310</td>
+      <td>00:01</td>
+    </tr>
+    <tr>
+      <td>14</td>
+      <td>0.224118</td>
+      <td>0.462793</td>
       <td>00:01</td>
     </tr>
   </tbody>
-</table></div><img alt="_images/81358131081d44a6f34cdb8d03d47a13b602ad2ddd5085d3b9f4a0277b1fa983.png" src="_images/81358131081d44a6f34cdb8d03d47a13b602ad2ddd5085d3b9f4a0277b1fa983.png" />
-<img alt="_images/5f05ca0f0161f942e6a0f810ed3585f3608b48703d06da1ce69616e04ea8f8d8.png" src="_images/5f05ca0f0161f942e6a0f810ed3585f3608b48703d06da1ce69616e04ea8f8d8.png" />
+</table></div><img alt="_images/92e5593f399c91bc3835916cbb8633ee4b72388ffdc51d9a9804b8f6039721a0.png" src="_images/92e5593f399c91bc3835916cbb8633ee4b72388ffdc51d9a9804b8f6039721a0.png" />
+<img alt="_images/f54a85009f33e76d4333193cd62b1a46912e4b83a6866f9e855d6a38fef672a6.png" src="_images/f54a85009f33e76d4333193cd62b1a46912e4b83a6866f9e855d6a38fef672a6.png" />
 </div>
 </div>
 </section>
@@ -1191,31 +1197,31 @@ <h3>Predictions<a class="headerlink" href="#predictions" title="Link to this hea
       <th>Sample_158</th>
       <th>Q9UN70;Q9UN70-2</th>
       <td>14.630</td>
-      <td>15.709</td>
+      <td>15.660</td>
     </tr>
     <tr>
       <th>Sample_050</th>
       <th>Q9Y287</th>
       <td>15.755</td>
-      <td>16.223</td>
+      <td>16.417</td>
     </tr>
     <tr>
       <th>Sample_107</th>
       <th>Q8N475;Q8N475-2</th>
       <td>15.029</td>
-      <td>14.427</td>
+      <td>14.268</td>
     </tr>
     <tr>
       <th>Sample_199</th>
       <th>P06307</th>
       <td>19.376</td>
-      <td>19.256</td>
+      <td>19.593</td>
     </tr>
     <tr>
       <th>Sample_067</th>
       <th>Q5VUB5</th>
       <td>15.309</td>
-      <td>14.897</td>
+      <td>15.103</td>
     </tr>
     <tr>
       <th>...</th>
@@ -1227,31 +1233,31 @@ <h3>Predictions<a class="headerlink" href="#predictions" title="Link to this hea
       <th>Sample_111</th>
       <th>F6SYF8;Q9UBP4</th>
       <td>22.822</td>
-      <td>23.064</td>
+      <td>23.015</td>
     </tr>
     <tr>
       <th>Sample_002</th>
       <th>A0A0A0MT36</th>
       <td>18.165</td>
-      <td>15.203</td>
+      <td>16.181</td>
     </tr>
     <tr>
       <th>Sample_049</th>
       <th>Q8WY21;Q8WY21-2;Q8WY21-3;Q8WY21-4</th>
       <td>15.525</td>
-      <td>15.939</td>
+      <td>15.482</td>
     </tr>
     <tr>
       <th>Sample_182</th>
       <th>Q8NFT8</th>
       <td>14.379</td>
-      <td>14.209</td>
+      <td>13.878</td>
     </tr>
     <tr>
       <th>Sample_123</th>
       <th>Q16853;Q16853-2</th>
       <td>14.504</td>
-      <td>14.403</td>
+      <td>14.618</td>
     </tr>
   </tbody>
 </table>
@@ -1324,27 +1330,27 @@ <h3>Predictions<a class="headerlink" href="#predictions" title="Link to this hea
       <th rowspan="5" valign="top">Sample_000</th>
       <th>A0A075B6P5;P01615</th>
       <td>17.016</td>
-      <td>17.254</td>
+      <td>17.015</td>
     </tr>
     <tr>
       <th>A0A087X089;Q16627;Q16627-2</th>
       <td>18.280</td>
-      <td>17.865</td>
+      <td>17.884</td>
     </tr>
     <tr>
       <th>A0A0B4J2B5;S4R460</th>
       <td>21.735</td>
-      <td>22.495</td>
+      <td>23.118</td>
     </tr>
     <tr>
       <th>A0A140T971;O95865;Q5SRR8;Q5SSV3</th>
       <td>14.603</td>
-      <td>15.145</td>
+      <td>15.668</td>
     </tr>
     <tr>
       <th>A0A140TA33;A0A140TA41;A0A140TA52;P22105;P22105-3;P22105-4</th>
       <td>16.143</td>
-      <td>16.567</td>
+      <td>16.746</td>
     </tr>
     <tr>
       <th>...</th>
@@ -1356,27 +1362,27 @@ <h3>Predictions<a class="headerlink" href="#predictions" title="Link to this hea
       <th rowspan="5" valign="top">Sample_209</th>
       <th>Q96ID5</th>
       <td>16.074</td>
-      <td>15.519</td>
+      <td>16.084</td>
     </tr>
     <tr>
       <th>Q9H492;Q9H492-2</th>
       <td>13.173</td>
-      <td>13.052</td>
+      <td>13.570</td>
     </tr>
     <tr>
       <th>Q9HC57</th>
       <td>14.207</td>
-      <td>13.450</td>
+      <td>13.977</td>
     </tr>
     <tr>
       <th>Q9NPH3;Q9NPH3-2;Q9NPH3-5</th>
       <td>14.962</td>
-      <td>14.802</td>
+      <td>15.364</td>
     </tr>
     <tr>
       <th>Q9UGM5;Q9UGM5-2</th>
       <td>16.871</td>
-      <td>16.153</td>
+      <td>16.392</td>
     </tr>
   </tbody>
 </table>
@@ -1668,8 +1674,8 @@ <h3>Validation data<a class="headerlink" href="#validation-data" title="Link to
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Selected as truth to compare to: observed
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{&#39;CF&#39;: {&#39;MSE&#39;: 0.4764368558222827,
-  &#39;MAE&#39;: 0.46816244998283013,
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{&#39;CF&#39;: {&#39;MSE&#39;: 0.46279306688641597,
+  &#39;MAE&#39;: 0.45994915032472045,
   &#39;N&#39;: 12600,
   &#39;prop&#39;: 1.0}}
 </pre></div>
@@ -1693,8 +1699,8 @@ <h3>Test Datasplit<a class="headerlink" href="#test-datasplit" title="Link to th
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Selected as truth to compare to: observed
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{&#39;CF&#39;: {&#39;MSE&#39;: 0.49444353922849976,
-  &#39;MAE&#39;: 0.47206334568261227,
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{&#39;CF&#39;: {&#39;MSE&#39;: 0.48553354970604506,
+  &#39;MAE&#39;: 0.4633674430515266,
   &#39;N&#39;: 12600,
   &#39;prop&#39;: 1.0}}
 </pre></div>
@@ -1752,13 +1758,13 @@ <h3>Test Datasplit<a class="headerlink" href="#test-datasplit" title="Link to th
     <tr>
       <th rowspan="4" valign="top">CF</th>
       <th>MSE</th>
-      <td>0.476</td>
-      <td>0.494</td>
+      <td>0.463</td>
+      <td>0.486</td>
     </tr>
     <tr>
       <th>MAE</th>
-      <td>0.468</td>
-      <td>0.472</td>
+      <td>0.460</td>
+      <td>0.463</td>
     </tr>
     <tr>
       <th>N</th>
@@ -1814,7 +1820,7 @@ <h2>Config<a class="headerlink" href="#config" title="Link to this heading">#</a
  &#39;batch_size&#39;: 1024,
  &#39;cuda&#39;: False,
  &#39;data&#39;: Path(&#39;runs/alzheimer_study/data&#39;),
- &#39;epoch_trained&#39;: 14,
+ &#39;epoch_trained&#39;: 15,
  &#39;epochs_max&#39;: 100,
  &#39;file_format&#39;: &#39;csv&#39;,
  &#39;fn_rawfile_metadata&#39;: &#39;https://raw.githubusercontent.com/RasmussenLab/njab/HEAD/docs/tutorial/data/alzheimer/meta.csv&#39;,