deploy: 07dd23a

Author: till-m

master/_images/acquisition_functions_12_1.png

@@ -653,7 +653,7 @@ <h1 id="Acquisition-functions">Acquisition functions<a class="headerlink" href="
 <p>An acquisition function dictates the exploration policy of the optimizer. In practice, there are many different acquisition policies and which one is the best might depend on your situation. This package comes with several acquisition functions out-of-the-box, but it is also very easy to write your acquisition function. This notebook showcases how to do that using various examples.</p>
 <p>Let’s begin with a few import statements and some function definitions we will use later.</p>
 <div class="nbinput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span><code>[ ]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span><code>[1]:
 </code></pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">bayes_opt</span><span class="w"> </span><span class="kn">import</span> <span class="n">BayesianOptimization</span>
@@ -763,16 +763,16 @@ <h1 id="Acquisition-functions">Acquisition functions<a class="headerlink" href="
 <div class="highlight"><pre>
 |   iter    |  target   |     x     |
 -------------------------------------
-| 2         | 1.2141683 | 2.4944814 |
-| 3         | 0.3240816 | 9.4085716 |
-| 4         | 0.9616628 | 6.7839273 |
-| 5         | 1.2141034 | 2.4945789 |
-| <span class="ansi-magenta-fg">6        </span> | <span class="ansi-magenta-fg">1.2213319</span> | <span class="ansi-magenta-fg">2.4836518</span> |
-| <span class="ansi-magenta-fg">7        </span> | <span class="ansi-magenta-fg">1.3813341</span> | <span class="ansi-magenta-fg">2.1554080</span> |
-| <span class="ansi-magenta-fg">8        </span> | <span class="ansi-magenta-fg">1.3904451</span> | <span class="ansi-magenta-fg">1.8852599</span> |
-| <span class="ansi-magenta-fg">9        </span> | <span class="ansi-magenta-fg">1.4018873</span> | <span class="ansi-magenta-fg">2.0042389</span> |
-| 10        | 1.4018854 | 2.0045581 |
-| 11        | 1.4018853 | 2.0045688 |
+| 1         | 1.2141683 | 2.4944814 |
+| 2         | 0.3240816 | 9.4085716 |
+| 3         | 0.9616628 | 6.7839273 |
+| 4         | 1.2141034 | 2.4945789 |
+| <span class="ansi-magenta-fg">5        </span> | <span class="ansi-magenta-fg">1.2213315</span> | <span class="ansi-magenta-fg">2.4836524</span> |
+| <span class="ansi-magenta-fg">6        </span> | <span class="ansi-magenta-fg">1.3813338</span> | <span class="ansi-magenta-fg">2.1554093</span> |
+| <span class="ansi-magenta-fg">7        </span> | <span class="ansi-magenta-fg">1.3904450</span> | <span class="ansi-magenta-fg">1.8852594</span> |
+| <span class="ansi-magenta-fg">8        </span> | <span class="ansi-magenta-fg">1.4018873</span> | <span class="ansi-magenta-fg">2.0042391</span> |
+| 9         | 1.4018855 | 2.0045401 |
+| 10        | 1.4018849 | 2.0046339 |
 =====================================
 </pre></div></div>
 </div>
@@ -861,16 +861,16 @@ <h1 id="Acquisition-functions">Acquisition functions<a class="headerlink" href="
 <div class="highlight"><pre>
 |   iter    |  target   |     x     |
 -------------------------------------
-| 2         | 1.2141683 | 2.4944814 |
-| 3         | 0.3240816 | 9.4085716 |
-| 4         | 0.9616628 | 6.7839273 |
-| 5         | 1.0070261 | -0.159783 |
-| 6         | 1.0327122 | -0.075615 |
-| <span class="ansi-magenta-fg">7        </span> | <span class="ansi-magenta-fg">1.3085636</span> | <span class="ansi-magenta-fg">1.6588374</span> |
-| 8         | 0.9518282 | 1.0057953 |
-| 9         | 1.0260256 | 5.8443843 |
-| 10        | 0.8310726 | 3.0843178 |
-| <span class="ansi-magenta-fg">11       </span> | <span class="ansi-magenta-fg">1.3409715</span> | <span class="ansi-magenta-fg">1.7284422</span> |
+| 1         | 1.2141683 | 2.4944814 |
+| 2         | 0.3240816 | 9.4085716 |
+| 3         | 0.9616628 | 6.7839273 |
+| 4         | 1.0070261 | -0.159783 |
+| 5         | 1.0327122 | -0.075615 |
+| <span class="ansi-magenta-fg">6        </span> | <span class="ansi-magenta-fg">1.3085636</span> | <span class="ansi-magenta-fg">1.6588374</span> |
+| 7         | 0.9518282 | 1.0057953 |
+| 8         | 1.0260256 | 5.8443843 |
+| 9         | 0.8310726 | 3.0843178 |
+| <span class="ansi-magenta-fg">10       </span> | <span class="ansi-magenta-fg">1.3409715</span> | <span class="ansi-magenta-fg">1.7284422</span> |
 =====================================
 Adding GP samples to the plot... this can take up to several minutes.
 </pre></div></div>
@@ -935,16 +935,16 @@ <h1 id="Acquisition-functions">Acquisition functions<a class="headerlink" href="
 <div class="highlight"><pre>
 |   iter    |  target   |     x     |
 -------------------------------------
-| 2         | 1.2141683 | 2.4944814 |
-| 3         | 0.3240816 | 9.4085716 |
-| 4         | 0.9616628 | 6.7839273 |
-| 5         | 0.9616602 | 6.7839440 |
-| 6         | 1.0206476 | 6.2145331 |
-| 7         | 0.8163580 | 4.3523918 |
-| <span class="ansi-magenta-fg">8        </span> | <span class="ansi-magenta-fg">1.4016703</span> | <span class="ansi-magenta-fg">1.9846975</span> |
-| 9         | 1.2147169 | 1.4938665 |
-| 10        | 1.0164502 | 0.2826411 |
-| 11        | 0.6099231 | -0.816548 |
+| 1         | 1.2141683 | 2.4944814 |
+| 2         | 0.3240816 | 9.4085716 |
+| 3         | 0.9616628 | 6.7839273 |
+| 4         | 0.9616653 | 6.7839105 |
+| 5         | 1.0206224 | 6.2150299 |
+| 6         | 0.8162246 | 4.3517586 |
+| <span class="ansi-magenta-fg">7        </span> | <span class="ansi-magenta-fg">1.4016724</span> | <span class="ansi-magenta-fg">1.9847738</span> |
+| 8         | 1.2149407 | 1.4942299 |
+| 9         | 1.0164502 | 0.2826411 |
+| 10        | 0.6101292 | -0.816206 |
 =====================================
 </pre></div></div>
 </div>