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10 | | -<title>Hyperparameter-tuning Cookbook - 3 Isotropic and Anisotropic Kriging</title> |
| 10 | +<title>Hyperparameter Tuning Cookbook - 3 Isotropic and Anisotropic Kriging</title> |
11 | 11 | <style> |
12 | 12 | code{white-space: pre-wrap;} |
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102 | | -<meta name="twitter:title" content="Hyperparameter-tuning Cookbook - 3 Isotropic and Anisotropic Kriging"> |
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128 | 128 | <nav id="quarto-sidebar" class="sidebar collapse collapse-horizontal sidebar-navigation docked overflow-auto"> |
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130 | 130 | <div class="sidebar-title mb-0 py-0"> |
131 | | - <a href="./">Hyperparameter-tuning Cookbook</a> |
| 131 | + <a href="./">Hyperparameter Tuning Cookbook</a> |
132 | 132 | <div class="sidebar-tools-main tools-wide"> |
133 | 133 | <a href="https://github.com/sequential-parameter-optimization/spotPython" title="Source Code" class="quarto-navigation-tool px-1" aria-label="Source Code"><i class="bi bi-github"></i></a> |
134 | | - <a href="./Hyperparameter-tuning-Cookbook.pdf" title="Download PDF" class="quarto-navigation-tool px-1" aria-label="Download PDF"><i class="bi bi-file-pdf"></i></a> |
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135 | 135 | <div class="dropdown"> |
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137 | 137 | <ul class="dropdown-menu" aria-labelledby="quarto-navigation-tool-dropdown-0"> |
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236 | 236 | <a href="./12_spot_hpt_torch_cifar10.html" class="sidebar-item-text sidebar-link"> |
237 | 237 | <span class="menu-text"><span class="chapter-number">12</span> <span class="chapter-title">HPT: PyTorch With cifar10 Data</span></span></a> |
238 | 238 | </div> |
| 239 | +</li> |
| 240 | + <li class="sidebar-item"> |
| 241 | + <div class="sidebar-item-container"> |
| 242 | + <a href="./13_spot_hpt_river.html" class="sidebar-item-text sidebar-link"> |
| 243 | + <span class="menu-text"><span class="chapter-number">13</span> <span class="chapter-title">HPT: River</span></span></a> |
| 244 | + </div> |
239 | 245 | </li> |
240 | 246 | <li class="sidebar-item"> |
241 | 247 | <div class="sidebar-item-container"> |
242 | 248 | <a href="./14_spot_ray_hpt_torch_cifar10.html" class="sidebar-item-text sidebar-link"> |
243 | | - <span class="menu-text"><span class="chapter-number">13</span> <span class="chapter-title">HPT: PyTorch With <code>spotPython</code> and Ray Tune on CIFAR10</span></span></a> |
| 249 | + <span class="menu-text"><span class="chapter-number">14</span> <span class="chapter-title">HPT: PyTorch With <code>spotPython</code> and Ray Tune on CIFAR10</span></span></a> |
244 | 250 | </div> |
245 | 251 | </li> |
246 | 252 | <li class="sidebar-item"> |
247 | 253 | <div class="sidebar-item-container"> |
248 | 254 | <a href="./16_spot_hpt_sklearn_multiclass_classification_randomforest.html" class="sidebar-item-text sidebar-link"> |
249 | | - <span class="menu-text"><span class="chapter-number">14</span> <span class="chapter-title">HPT: sklearn RandomForestClassifier VBDP Data</span></span></a> |
| 255 | + <span class="menu-text"><span class="chapter-number">15</span> <span class="chapter-title">HPT: sklearn RandomForestClassifier VBDP Data</span></span></a> |
250 | 256 | </div> |
251 | 257 | </li> |
252 | 258 | <li class="sidebar-item"> |
253 | 259 | <div class="sidebar-item-container"> |
254 | 260 | <a href="./17_spot_hpt_sklearn_multiclass_classification_xgb.html" class="sidebar-item-text sidebar-link"> |
255 | | - <span class="menu-text"><span class="chapter-number">15</span> <span class="chapter-title">HPT: sklearn XGB Classifier VBDP Data</span></span></a> |
| 261 | + <span class="menu-text"><span class="chapter-number">16</span> <span class="chapter-title">HPT: sklearn XGB Classifier VBDP Data</span></span></a> |
256 | 262 | </div> |
257 | 263 | </li> |
258 | 264 | <li class="sidebar-item"> |
259 | 265 | <div class="sidebar-item-container"> |
260 | 266 | <a href="./18_spot_hpt_sklearn_multiclass_classification_svc.html" class="sidebar-item-text sidebar-link"> |
261 | | - <span class="menu-text"><span class="chapter-number">16</span> <span class="chapter-title">HPT: sklearn SVC VBDP Data</span></span></a> |
| 267 | + <span class="menu-text"><span class="chapter-number">17</span> <span class="chapter-title">HPT: sklearn SVC VBDP Data</span></span></a> |
262 | 268 | </div> |
263 | 269 | </li> |
264 | 270 | <li class="sidebar-item"> |
265 | 271 | <div class="sidebar-item-container"> |
266 | 272 | <a href="./19_spot_hpt_sklearn_multiclass_classification_knn.html" class="sidebar-item-text sidebar-link"> |
267 | | - <span class="menu-text"><span class="chapter-number">17</span> <span class="chapter-title">HPT: sklearn KNN Classifier VBDP Data</span></span></a> |
| 273 | + <span class="menu-text"><span class="chapter-number">18</span> <span class="chapter-title">HPT: sklearn KNN Classifier VBDP Data</span></span></a> |
268 | 274 | </div> |
269 | 275 | </li> |
270 | 276 | <li class="sidebar-item"> |
271 | 277 | <div class="sidebar-item-container"> |
272 | 278 | <a href="./24_spot_torch_regression.html" class="sidebar-item-text sidebar-link"> |
273 | | - <span class="menu-text"><span class="chapter-number">18</span> <span class="chapter-title">HPT PyTorch: Regression</span></span></a> |
| 279 | + <span class="menu-text"><span class="chapter-number">19</span> <span class="chapter-title">HPT PyTorch: Regression</span></span></a> |
274 | 280 | </div> |
275 | 281 | </li> |
276 | 282 | <li class="sidebar-item"> |
277 | 283 | <div class="sidebar-item-container"> |
278 | 284 | <a href="./25_spot_torch_vbdp.html" class="sidebar-item-text sidebar-link"> |
279 | | - <span class="menu-text"><span class="chapter-number">19</span> <span class="chapter-title">HPT: PyTorch With VBDP</span></span></a> |
| 285 | + <span class="menu-text"><span class="chapter-number">20</span> <span class="chapter-title">HPT: PyTorch With VBDP</span></span></a> |
280 | 286 | </div> |
281 | 287 | </li> |
282 | 288 | <li class="sidebar-item"> |
283 | 289 | <div class="sidebar-item-container"> |
284 | 290 | <a href="./99_spot_doc.html" class="sidebar-item-text sidebar-link"> |
285 | | - <span class="menu-text"><span class="chapter-number">20</span> <span class="chapter-title">Documentation of the Sequential Parameter Optimization</span></span></a> |
| 291 | + <span class="menu-text"><span class="chapter-number">21</span> <span class="chapter-title">Documentation of the Sequential Parameter Optimization</span></span></a> |
286 | 292 | </div> |
287 | 293 | </li> |
288 | 294 | <li class="sidebar-item"> |
@@ -374,7 +380,7 @@ <h3 data-number="3.1.1" class="anchored" data-anchor-id="the-objective-function- |
374 | 380 | <span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a></span> |
375 | 381 | <span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a>spot_2.run()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div> |
376 | 382 | <div class="cell-output cell-output-display" data-execution_count="3"> |
377 | | -<pre><code><spotPython.spot.spot.Spot at 0x16a1efc10></code></pre> |
| 383 | +<pre><code><spotPython.spot.spot.Spot at 0x14a237730></code></pre> |
378 | 384 | </div> |
379 | 385 | </div> |
380 | 386 | </section> |
@@ -415,7 +421,7 @@ <h2 data-number="3.2" class="anchored" data-anchor-id="example-with-anisotropic- |
415 | 421 | <span id="cb9-4"><a href="#cb9-4" aria-hidden="true" tabindex="-1"></a> surrogate_control<span class="op">=</span>{<span class="st">"n_theta"</span>: <span class="dv">2</span>})</span> |
416 | 422 | <span id="cb9-5"><a href="#cb9-5" aria-hidden="true" tabindex="-1"></a>spot_2_anisotropic.run()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div> |
417 | 423 | <div class="cell-output cell-output-display" data-execution_count="6"> |
418 | | -<pre><code><spotPython.spot.spot.Spot at 0x16a375180></code></pre> |
| 424 | +<pre><code><spotPython.spot.spot.Spot at 0x14a452f80></code></pre> |
419 | 425 | </div> |
420 | 426 | </div> |
421 | 427 | <section id="taking-a-look-at-the-theta-values" class="level3" data-number="3.2.1"> |
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