docs

Author: bartzbeielstein

docs/01_spot_intro.html

@@ -225,77 +225,53 @@
   <a href="./10_spot_hpt_sklearn_classification.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">HPT: sklearn SVC on Moons Data</span></span></a>
   </div>
-</li>
-        <li class="sidebar-item">
-  <div class="sidebar-item-container"> 
-  <a href="./11_spot_hpt_torch_fashion_mnist.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text"><span class="chapter-number">11</span>&nbsp; <span class="chapter-title">HPT: PyTorch With fashionMNIST</span></span></a>
-  </div>
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-        <li class="sidebar-item">
-  <div class="sidebar-item-container"> 
-  <a href="./12_spot_hpt_torch_cifar10.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text"><span class="chapter-number">12</span>&nbsp; <span class="chapter-title">HPT: PyTorch With cifar10 Data</span></span></a>
-  </div>
 </li>
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   <a href="./13_spot_hpt_river.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text"><span class="chapter-number">13</span>&nbsp; <span class="chapter-title">HPT: River</span></span></a>
+ <span class="menu-text"><span class="chapter-number">11</span>&nbsp; <span class="chapter-title">HPT: River</span></span></a>
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   <div class="sidebar-item-container"> 
   <a href="./14_spot_ray_hpt_torch_cifar10.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text"><span class="chapter-number">14</span>&nbsp; <span class="chapter-title">HPT: PyTorch With <code>spotPython</code> and Ray Tune on CIFAR10</span></span></a>
+ <span class="menu-text"><span class="chapter-number">12</span>&nbsp; <span class="chapter-title">HPT: PyTorch With <code>spotPython</code> and Ray Tune on CIFAR10</span></span></a>
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   <a href="./16_spot_hpt_sklearn_multiclass_classification_randomforest.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text"><span class="chapter-number">15</span>&nbsp; <span class="chapter-title">HPT: sklearn RandomForestClassifier VBDP Data</span></span></a>
+ <span class="menu-text"><span class="chapter-number">13</span>&nbsp; <span class="chapter-title">HPT: sklearn RandomForestClassifier VBDP Data</span></span></a>
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   <a href="./17_spot_hpt_sklearn_multiclass_classification_xgb.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text"><span class="chapter-number">16</span>&nbsp; <span class="chapter-title">HPT: sklearn XGB Classifier VBDP Data</span></span></a>
+ <span class="menu-text"><span class="chapter-number">14</span>&nbsp; <span class="chapter-title">HPT: sklearn XGB Classifier VBDP Data</span></span></a>
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   <a href="./18_spot_hpt_sklearn_multiclass_classification_svc.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text"><span class="chapter-number">17</span>&nbsp; <span class="chapter-title">HPT: sklearn SVC VBDP Data</span></span></a>
+ <span class="menu-text"><span class="chapter-number">15</span>&nbsp; <span class="chapter-title">HPT: sklearn SVC VBDP Data</span></span></a>
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   <a href="./19_spot_hpt_sklearn_multiclass_classification_knn.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text"><span class="chapter-number">18</span>&nbsp; <span class="chapter-title">HPT: sklearn KNN Classifier VBDP Data</span></span></a>
-  </div>
-</li>
-        <li class="sidebar-item">
-  <div class="sidebar-item-container"> 
-  <a href="./24_spot_torch_regression.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text"><span class="chapter-number">19</span>&nbsp; <span class="chapter-title">HPT PyTorch: Regression</span></span></a>
-  </div>
-</li>
-        <li class="sidebar-item">
-  <div class="sidebar-item-container"> 
-  <a href="./25_spot_torch_vbdp.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text"><span class="chapter-number">20</span>&nbsp; <span class="chapter-title">HPT: PyTorch With VBDP</span></span></a>
+ <span class="menu-text"><span class="chapter-number">16</span>&nbsp; <span class="chapter-title">HPT: sklearn KNN Classifier VBDP Data</span></span></a>
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   <a href="./31_spot_lightning_csv.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text"><span class="chapter-number">21</span>&nbsp; <span class="chapter-title">HPT PyTorch Lightning: VBDP</span></span></a>
+ <span class="menu-text"><span class="chapter-number">17</span>&nbsp; <span class="chapter-title">HPT PyTorch Lightning: VBDP</span></span></a>
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- <span class="menu-text"><span class="chapter-number">22</span>&nbsp; <span class="chapter-title">Documentation of the Sequential Parameter Optimization</span></span></a>
+ <span class="menu-text"><span class="chapter-number">18</span>&nbsp; <span class="chapter-title">Documentation of the Sequential Parameter Optimization</span></span></a>
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@@ -393,23 +369,23 @@ <h3 data-number="2.1.1" class="anchored" data-anchor-id="the-objective-function-
 <span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a></span>
 <span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a>spot_3.run()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output cell-output-stdout">
-<pre><code>spotPython tuning: 0.03443399805488846 [#######---] 73.33% </code></pre>
+<pre><code>spotPython tuning: 0.03443344056467332 [#######---] 73.33% </code></pre>
 </div>
 <div class="cell-output cell-output-stdout">
-<pre><code>spotPython tuning: 0.03134895672225177 [########--] 80.00% </code></pre>
+<pre><code>spotPython tuning: 0.03134865993507926 [########--] 80.00% </code></pre>
 </div>
 <div class="cell-output cell-output-stdout">
-<pre><code>spotPython tuning: 0.0009630555620661592 [#########-] 86.67% </code></pre>
+<pre><code>spotPython tuning: 0.0009629342967936851 [#########-] 86.67% </code></pre>
 </div>
 <div class="cell-output cell-output-stdout">
-<pre><code>spotPython tuning: 8.567364874637509e-05 [#########-] 93.33% </code></pre>
+<pre><code>spotPython tuning: 8.541951463966474e-05 [#########-] 93.33% </code></pre>
 </div>
 <div class="cell-output cell-output-stdout">
-<pre><code>spotPython tuning: 6.0300780324366926e-05 [##########] 100.00% Done...
+<pre><code>spotPython tuning: 6.285135731399678e-05 [##########] 100.00% Done...
 </code></pre>
 </div>
 <div class="cell-output cell-output-display" data-execution_count="3">
-<pre><code>&lt;spotPython.spot.spot.Spot at 0x107c87550&gt;</code></pre>
+<pre><code>&lt;spotPython.spot.spot.Spot at 0x10936d600&gt;</code></pre>
 </div>
 </div>
 </section>
@@ -418,15 +394,15 @@ <h3 data-number="2.1.2" class="anchored" data-anchor-id="results"><span class="h
 <div class="cell" data-execution_count="4">
 <div class="sourceCode cell-code" id="cb10"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a>spot_3.print_results()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output cell-output-stdout">
-<pre><code>min y: 6.0300780324366926e-05
-Pressure: 0.00514742089151478
-Temp: 0.001954003740617489
-Lambda: 0.005476012040857559</code></pre>
+<pre><code>min y: 6.285135731399678e-05
+Pressure: 0.005236109709736696
+Temp: 0.0019572552655686714
+Lambda: 0.005621713639718905</code></pre>
 </div>
 <div class="cell-output cell-output-display" data-execution_count="4">
-<pre><code>[['Pressure', 0.00514742089151478],
- ['Temp', 0.001954003740617489],
- ['Lambda', 0.005476012040857559]]</code></pre>
+<pre><code>[['Pressure', 0.005236109709736696],
+ ['Temp', 0.0019572552655686714],
+ ['Lambda', 0.005621713639718905]]</code></pre>
 </div>
 </div>
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@@ -475,14 +451,14 @@ <h3 data-number="2.1.3" class="anchored" data-anchor-id="a-contour-plot"><span c
 <div class="cell" data-execution_count="9">
 <div class="sourceCode cell-code" id="cb17"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb17-1"><a href="#cb17-1" aria-hidden="true" tabindex="-1"></a>spot_3.print_importance()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output cell-output-stdout">
-<pre><code>Pressure:  100.0
-Temp:  99.69922253450551
-Lambda:  93.68147774373058</code></pre>
+<pre><code>Pressure:  99.35185545837122
+Temp:  99.99999999999999
+Lambda:  94.31627052007231</code></pre>
 </div>
 <div class="cell-output cell-output-display" data-execution_count="9">
-<pre><code>[['Pressure', 100.0],
- ['Temp', 99.69922253450551],
- ['Lambda', 93.68147774373058]]</code></pre>
+<pre><code>[['Pressure', 99.35185545837122],
+ ['Temp', 99.99999999999999],
+ ['Lambda', 94.31627052007231]]</code></pre>
 </div>
 </div>
 </section>