From fdfd8c70ec9b12104248d386e3d9d3b13c7df1ae Mon Sep 17 00:00:00 2001
From: motus <sergiy.matusevych@gmail.com>
Date: Wed, 7 Aug 2024 23:32:08 +0000
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-        <script src="../../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../../_static/documentation_options.js?v=bdd03108"></script>
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@@ -37,7 +37,7 @@
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           </a>
               <div class="version">
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@@ -295,7 +295,7 @@
 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
diff --git a/api/mlos_core/mlos_core.optimizers.bayesian_optimizers.smac_optimizer.html b/api/mlos_core/mlos_core.optimizers.bayesian_optimizers.smac_optimizer.html
index f2cf1c27d87..82540fea48f 100644
--- a/api/mlos_core/mlos_core.optimizers.bayesian_optimizers.smac_optimizer.html
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@@ -4,7 +4,7 @@
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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.optimizers.bayesian_optimizers.smac_optimizer module &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.optimizers.bayesian_optimizers.smac_optimizer module &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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     <script src="../../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../../_static/documentation_options.js?v=bdd03108"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
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@@ -217,7 +217,7 @@
 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
diff --git a/api/mlos_core/mlos_core.optimizers.flaml_optimizer.html b/api/mlos_core/mlos_core.optimizers.flaml_optimizer.html
index 008c785bc4f..97fb67498c6 100644
--- a/api/mlos_core/mlos_core.optimizers.flaml_optimizer.html
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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.optimizers.flaml_optimizer module &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.optimizers.flaml_optimizer module &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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@@ -14,7 +14,7 @@
     <script src="../../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../../_static/documentation_options.js?v=bdd03108"></script>
         <script src="../../_static/doctools.js?v=9a2dae69"></script>
         <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
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@@ -193,7 +193,7 @@
 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
diff --git a/api/mlos_core/mlos_core.optimizers.html b/api/mlos_core/mlos_core.optimizers.html
index c2b9bfe1a2d..1e73d174543 100644
--- a/api/mlos_core/mlos_core.optimizers.html
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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.optimizers package &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.optimizers package &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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+        <script src="../../_static/documentation_options.js?v=bdd03108"></script>
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             MLOS
           </a>
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@@ -208,7 +208,7 @@
 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
@@ -229,7 +229,7 @@
 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
@@ -261,6 +261,9 @@
 <dd class="field-even"><dl class="simple">
 <dt><strong>configuration</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Pandas dataframe with a single row. Column names are the parameter names.</p>
 </dd>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>The metadata associated with the given configuration used for evaluations.
+Backend optimizer specific.</p>
+</dd>
 </dl>
 </dd>
 </dl>
@@ -318,7 +321,7 @@
 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
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 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
@@ -542,7 +545,7 @@
 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
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--- a/api/mlos_core/mlos_core.optimizers.optimizer.html
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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.optimizers.optimizer module &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.optimizers.optimizer module &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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   <![endif]-->
   
-        <script src="../../_static/documentation_options.js?v=7408df72"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
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 <div role="search">
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 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
@@ -230,7 +230,7 @@
 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
@@ -262,6 +262,9 @@
 <dd class="field-even"><dl class="simple">
 <dt><strong>configuration</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Pandas dataframe with a single row. Column names are the parameter names.</p>
 </dd>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>The metadata associated with the given configuration used for evaluations.
+Backend optimizer specific.</p>
+</dd>
 </dl>
 </dd>
 </dl>
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index 32d8cfaa887..12e6b73ad0e 100644
--- a/api/mlos_core/mlos_core.optimizers.random_optimizer.html
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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.optimizers.random_optimizer module &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.optimizers.random_optimizer module &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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     <script src="../../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../../_static/documentation_options.js?v=bdd03108"></script>
         <script src="../../_static/doctools.js?v=9a2dae69"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
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 <div role="search">
   <form id="rtd-search-form" class="wy-form" action="../../search.html" method="get">
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 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
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--- a/api/mlos_core/mlos_core.spaces.adapters.adapter.html
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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.spaces.adapters.adapter module &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.spaces.adapters.adapter module &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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     <script src="../../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../../_static/documentation_options.js?v=bdd03108"></script>
         <script src="../../_static/doctools.js?v=9a2dae69"></script>
         <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
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 <div role="search">
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index 2e4e495c123..6f178392500 100644
--- a/api/mlos_core/mlos_core.spaces.adapters.html
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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.spaces.adapters package &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.spaces.adapters package &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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     <script src="../../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../../_static/documentation_options.js?v=bdd03108"></script>
         <script src="../../_static/doctools.js?v=9a2dae69"></script>
         <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
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 <div role="search">
   <form id="rtd-search-form" class="wy-form" action="../../search.html" method="get">
diff --git a/api/mlos_core/mlos_core.spaces.adapters.identity_adapter.html b/api/mlos_core/mlos_core.spaces.adapters.identity_adapter.html
index c191465cfdd..5521872793e 100644
--- a/api/mlos_core/mlos_core.spaces.adapters.identity_adapter.html
+++ b/api/mlos_core/mlos_core.spaces.adapters.identity_adapter.html
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   <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.spaces.adapters.identity_adapter module &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.spaces.adapters.identity_adapter module &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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@@ -14,7 +14,7 @@
     <script src="../../_static/js/html5shiv.min.js"></script>
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+        <script src="../_static/documentation_options.js?v=bdd03108"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
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-                0.6.1.dev16+g5d980561e
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 <div role="search">
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diff --git a/generated/mlos_core.optimizers.bayesian_optimizers.SmacOptimizer.html b/generated/mlos_core.optimizers.bayesian_optimizers.SmacOptimizer.html
index deddedd4e03..4d4854fda9d 100644
--- a/generated/mlos_core.optimizers.bayesian_optimizers.SmacOptimizer.html
+++ b/generated/mlos_core.optimizers.bayesian_optimizers.SmacOptimizer.html
@@ -4,7 +4,7 @@
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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.optimizers.bayesian_optimizers.SmacOptimizer &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.optimizers.bayesian_optimizers.SmacOptimizer &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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@@ -14,7 +14,7 @@
     <script src="../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../_static/documentation_options.js?v=bdd03108"></script>
         <script src="../_static/doctools.js?v=9a2dae69"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
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 <div role="search">
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@@ -267,7 +267,7 @@ <h1><a class="reference internal" href="../api/mlos_core/mlos_core.optimizers.ba
 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
diff --git a/generated/mlos_core.optimizers.flaml_optimizer.FlamlOptimizer.html b/generated/mlos_core.optimizers.flaml_optimizer.FlamlOptimizer.html
index a281cbed4fe..e5d3a8ed664 100644
--- a/generated/mlos_core.optimizers.flaml_optimizer.FlamlOptimizer.html
+++ b/generated/mlos_core.optimizers.flaml_optimizer.FlamlOptimizer.html
@@ -4,7 +4,7 @@
   <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.optimizers.flaml_optimizer.FlamlOptimizer &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.optimizers.flaml_optimizer.FlamlOptimizer &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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@@ -14,7 +14,7 @@
     <script src="../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../_static/documentation_options.js?v=bdd03108"></script>
         <script src="../_static/doctools.js?v=9a2dae69"></script>
         <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
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 <div role="search">
   <form id="rtd-search-form" class="wy-form" action="../search.html" method="get">
@@ -192,7 +192,7 @@ <h1><a class="reference internal" href="../api/mlos_core/mlos_core.optimizers.fl
 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
diff --git a/generated/mlos_core.optimizers.optimizer.BaseOptimizer.html b/generated/mlos_core.optimizers.optimizer.BaseOptimizer.html
index 62839214f4a..e08f904ea72 100644
--- a/generated/mlos_core.optimizers.optimizer.BaseOptimizer.html
+++ b/generated/mlos_core.optimizers.optimizer.BaseOptimizer.html
@@ -4,7 +4,7 @@
   <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.optimizers.optimizer.BaseOptimizer &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.optimizers.optimizer.BaseOptimizer &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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@@ -14,7 +14,7 @@
     <script src="../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../_static/documentation_options.js?v=bdd03108"></script>
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         <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
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 <div role="search">
   <form id="rtd-search-form" class="wy-form" action="../search.html" method="get">
@@ -231,7 +231,7 @@ <h1><a class="reference internal" href="../api/mlos_core/mlos_core.optimizers.op
 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
@@ -252,7 +252,7 @@ <h1><a class="reference internal" href="../api/mlos_core/mlos_core.optimizers.op
 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
@@ -284,6 +284,9 @@ <h1><a class="reference internal" href="../api/mlos_core/mlos_core.optimizers.op
 <dd class="field-even"><dl class="simple">
 <dt><strong>configuration</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Pandas dataframe with a single row. Column names are the parameter names.</p>
 </dd>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>The metadata associated with the given configuration used for evaluations.
+Backend optimizer specific.</p>
+</dd>
 </dl>
 </dd>
 </dl>
diff --git a/generated/mlos_core.optimizers.random_optimizer.RandomOptimizer.html b/generated/mlos_core.optimizers.random_optimizer.RandomOptimizer.html
index 144fa429f0b..c8e3b275dbe 100644
--- a/generated/mlos_core.optimizers.random_optimizer.RandomOptimizer.html
+++ b/generated/mlos_core.optimizers.random_optimizer.RandomOptimizer.html
@@ -4,7 +4,7 @@
   <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.optimizers.random_optimizer.RandomOptimizer &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.optimizers.random_optimizer.RandomOptimizer &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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       <link rel="stylesheet" type="text/css" href="../_static/plot_directive.css" />
@@ -14,7 +14,7 @@
     <script src="../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../_static/documentation_options.js?v=bdd03108"></script>
         <script src="../_static/doctools.js?v=9a2dae69"></script>
         <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
+                0.6.1.dev17+ga4d21cd5e
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 <div role="search">
   <form id="rtd-search-form" class="wy-form" action="../search.html" method="get">
@@ -192,7 +192,7 @@ <h1><a class="reference internal" href="../api/mlos_core/mlos_core.optimizers.ra
 </dd>
 <dt><strong>context</strong><span class="classifier">pd.DataFrame</span></dt><dd><p>Not Yet Implemented.</p>
 </dd>
-<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Not Yet Implemented.</p>
+<dt><strong>metadata</strong><span class="classifier">Optional[pd.DataFrame]</span></dt><dd><p>Metadata returned by the backend optimizer’s suggest method.</p>
 </dd>
 </dl>
 </dd>
diff --git a/generated/mlos_core.spaces.adapters.SpaceAdapterFactory.create.html b/generated/mlos_core.spaces.adapters.SpaceAdapterFactory.create.html
index da0861a4e05..02a65f39bb4 100644
--- a/generated/mlos_core.spaces.adapters.SpaceAdapterFactory.create.html
+++ b/generated/mlos_core.spaces.adapters.SpaceAdapterFactory.create.html
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   <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.spaces.adapters.SpaceAdapterFactory.create &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.spaces.adapters.SpaceAdapterFactory.create &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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@@ -14,7 +14,7 @@
     <script src="../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../_static/documentation_options.js?v=bdd03108"></script>
         <script src="../_static/doctools.js?v=9a2dae69"></script>
         <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
+                0.6.1.dev17+ga4d21cd5e
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 <div role="search">
   <form id="rtd-search-form" class="wy-form" action="../search.html" method="get">
diff --git a/generated/mlos_core.spaces.adapters.SpaceAdapterFactory.html b/generated/mlos_core.spaces.adapters.SpaceAdapterFactory.html
index 3a9850ae554..24359ea1442 100644
--- a/generated/mlos_core.spaces.adapters.SpaceAdapterFactory.html
+++ b/generated/mlos_core.spaces.adapters.SpaceAdapterFactory.html
@@ -4,7 +4,7 @@
   <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.spaces.adapters.SpaceAdapterFactory &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.spaces.adapters.SpaceAdapterFactory &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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       <link rel="stylesheet" type="text/css" href="../_static/plot_directive.css" />
@@ -14,7 +14,7 @@
     <script src="../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../_static/documentation_options.js?v=bdd03108"></script>
         <script src="../_static/doctools.js?v=9a2dae69"></script>
         <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
+                0.6.1.dev17+ga4d21cd5e
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 <div role="search">
   <form id="rtd-search-form" class="wy-form" action="../search.html" method="get">
diff --git a/generated/mlos_core.spaces.adapters.SpaceAdapterType.html b/generated/mlos_core.spaces.adapters.SpaceAdapterType.html
index 8aefec18c6d..f37f135995a 100644
--- a/generated/mlos_core.spaces.adapters.SpaceAdapterType.html
+++ b/generated/mlos_core.spaces.adapters.SpaceAdapterType.html
@@ -4,7 +4,7 @@
   <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.spaces.adapters.SpaceAdapterType &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.spaces.adapters.SpaceAdapterType &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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@@ -14,7 +14,7 @@
     <script src="../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../_static/documentation_options.js?v=bdd03108"></script>
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         <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
+                0.6.1.dev17+ga4d21cd5e
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 <div role="search">
   <form id="rtd-search-form" class="wy-form" action="../search.html" method="get">
diff --git a/generated/mlos_core.spaces.adapters.adapter.BaseSpaceAdapter.html b/generated/mlos_core.spaces.adapters.adapter.BaseSpaceAdapter.html
index 2e45c8336de..29b8b2b7a73 100644
--- a/generated/mlos_core.spaces.adapters.adapter.BaseSpaceAdapter.html
+++ b/generated/mlos_core.spaces.adapters.adapter.BaseSpaceAdapter.html
@@ -4,7 +4,7 @@
   <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.spaces.adapters.adapter.BaseSpaceAdapter &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.spaces.adapters.adapter.BaseSpaceAdapter &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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@@ -14,7 +14,7 @@
     <script src="../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../_static/documentation_options.js?v=bdd03108"></script>
         <script src="../_static/doctools.js?v=9a2dae69"></script>
         <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
+                0.6.1.dev17+ga4d21cd5e
               </div>
 <div role="search">
   <form id="rtd-search-form" class="wy-form" action="../search.html" method="get">
diff --git a/generated/mlos_core.spaces.adapters.identity_adapter.IdentityAdapter.html b/generated/mlos_core.spaces.adapters.identity_adapter.IdentityAdapter.html
index 5ce8ed16b8d..9e58098acde 100644
--- a/generated/mlos_core.spaces.adapters.identity_adapter.IdentityAdapter.html
+++ b/generated/mlos_core.spaces.adapters.identity_adapter.IdentityAdapter.html
@@ -4,7 +4,7 @@
   <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_core.spaces.adapters.identity_adapter.IdentityAdapter &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_core.spaces.adapters.identity_adapter.IdentityAdapter &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
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@@ -14,7 +14,7 @@
     <script src="../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../_static/documentation_options.js?v=bdd03108"></script>
         <script src="../_static/doctools.js?v=9a2dae69"></script>
         <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
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 <div role="search">
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diff --git a/htmlcov/z_72e2a6025cdb9b6f_smac_optimizer_py.html b/htmlcov/z_72e2a6025cdb9b6f_smac_optimizer_py.html
index 3203fc6cbe0..43b7b2c892f 100644
--- a/htmlcov/z_72e2a6025cdb9b6f_smac_optimizer_py.html
+++ b/htmlcov/z_72e2a6025cdb9b6f_smac_optimizer_py.html
@@ -65,7 +65,7 @@ <h2>
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+            created at 2024-08-07 23:27 +0000
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+            created at 2024-08-07 23:27 +0000
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index 71b2f927c0d..c9d01d383aa 100644
--- a/htmlcov/z_75096bf83df2f5ed___init___py.html
+++ b/htmlcov/z_75096bf83df2f5ed___init___py.html
@@ -65,7 +65,7 @@ <h2>
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+            created at 2024-08-07 23:27 +0000
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+            created at 2024-08-07 23:27 +0000
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index e01e1a495ec..94d1299007b 100644
--- a/htmlcov/z_7980ac9b936dbc70___init___py.html
+++ b/htmlcov/z_7980ac9b936dbc70___init___py.html
@@ -65,7 +65,7 @@ <h2>
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+            created at 2024-08-07 23:27 +0000
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index 88ce66ca015..a6f497dc682 100644
--- a/htmlcov/z_83ca15bbe4632fea___init___py.html
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+            created at 2024-08-07 23:27 +0000
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index d72c5d73341..2665fc7b4e1 100644
--- a/htmlcov/z_83ca15bbe4632fea_flaml_optimizer_py.html
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diff --git a/htmlcov/z_83ca15bbe4632fea_optimizer_py.html b/htmlcov/z_83ca15bbe4632fea_optimizer_py.html
index b117ce56104..f23e48c1cb3 100644
--- a/htmlcov/z_83ca15bbe4632fea_optimizer_py.html
+++ b/htmlcov/z_83ca15bbe4632fea_optimizer_py.html
@@ -65,7 +65,7 @@ <h2>
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             &nbsp; &nbsp; &nbsp;
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+            created at 2024-08-07 23:27 +0000
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@@ -176,7 +176,7 @@ <h2>
     <p class="pln"><span class="n"><a id="t94" href="#t94">94</a></span><span class="t"><span class="str">            Not Yet Implemented.</span>&nbsp;</span><span class="r"></span></p>
     <p class="pln"><span class="n"><a id="t95" href="#t95">95</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
     <p class="pln"><span class="n"><a id="t96" href="#t96">96</a></span><span class="t"><span class="str">        metadata : Optional[pd.DataFrame]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t97" href="#t97">97</a></span><span class="t"><span class="str">            Not Yet Implemented.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t97" href="#t97">97</a></span><span class="t"><span class="str">            Metadata returned by the backend optimizer's suggest method.</span>&nbsp;</span><span class="r"></span></p>
     <p class="pln"><span class="n"><a id="t98" href="#t98">98</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
     <p class="pln"><span class="n"><a id="t99" href="#t99">99</a></span><span class="t">        <span class="com"># Do some input validation.</span>&nbsp;</span><span class="r"></span></p>
     <p class="run"><span class="n"><a id="t100" href="#t100">100</a></span><span class="t">        <span class="key">assert</span> <span class="nam">metadata</span> <span class="key">is</span> <span class="key">None</span> <span class="key">or</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">metadata</span><span class="op">,</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
@@ -249,185 +249,190 @@ <h2>
     <p class="pln"><span class="n"><a id="t167" href="#t167">167</a></span><span class="t"><span class="str">        -------</span>&nbsp;</span><span class="r"></span></p>
     <p class="pln"><span class="n"><a id="t168" href="#t168">168</a></span><span class="t"><span class="str">        configuration : pd.DataFrame</span>&nbsp;</span><span class="r"></span></p>
     <p class="pln"><span class="n"><a id="t169" href="#t169">169</a></span><span class="t"><span class="str">            Pandas dataframe with a single row. Column names are the parameter names.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t170" href="#t170">170</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t171" href="#t171">171</a></span><span class="t">        <span class="key">if</span> <span class="nam">defaults</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t172" href="#t172">172</a></span><span class="t">            <span class="nam">configuration</span> <span class="op">=</span> <span class="nam">config_to_dataframe</span><span class="op">(</span><span class="nam">self</span><span class="op">.</span><span class="nam">parameter_space</span><span class="op">.</span><span class="nam">get_default_configuration</span><span class="op">(</span><span class="op">)</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t173" href="#t173">173</a></span><span class="t">            <span class="nam">metadata</span> <span class="op">=</span> <span class="key">None</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t174" href="#t174">174</a></span><span class="t">            <span class="key">if</span> <span class="nam">self</span><span class="op">.</span><span class="nam">space_adapter</span> <span class="key">is</span> <span class="key">not</span> <span class="key">None</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t175" href="#t175">175</a></span><span class="t">                <span class="nam">configuration</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">space_adapter</span><span class="op">.</span><span class="nam">inverse_transform</span><span class="op">(</span><span class="nam">configuration</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t176" href="#t176">176</a></span><span class="t">        <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t177" href="#t177">177</a></span><span class="t">            <span class="nam">configuration</span><span class="op">,</span> <span class="nam">metadata</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_suggest</span><span class="op">(</span><span class="nam">context</span><span class="op">=</span><span class="nam">context</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t178" href="#t178">178</a></span><span class="t">            <span class="key">assert</span> <span class="nam">len</span><span class="op">(</span><span class="nam">configuration</span><span class="op">)</span> <span class="op">==</span> <span class="num">1</span><span class="op">,</span> <span class="str">"Suggest must return a single configuration."</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t179" href="#t179">179</a></span><span class="t">            <span class="key">assert</span> <span class="nam">set</span><span class="op">(</span><span class="nam">configuration</span><span class="op">.</span><span class="nam">columns</span><span class="op">)</span><span class="op">.</span><span class="nam">issubset</span><span class="op">(</span><span class="nam">set</span><span class="op">(</span><span class="nam">self</span><span class="op">.</span><span class="nam">optimizer_parameter_space</span><span class="op">)</span><span class="op">)</span><span class="op">,</span> <span class="op">(</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t180" href="#t180">180</a></span><span class="t">                <span class="str">"Optimizer suggested a configuration that does "</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t181" href="#t181">181</a></span><span class="t">                <span class="str">"not match the expected parameter space."</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t182" href="#t182">182</a></span><span class="t">            <span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t183" href="#t183">183</a></span><span class="t">        <span class="key">if</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_space_adapter</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t184" href="#t184">184</a></span><span class="t">            <span class="nam">configuration</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_space_adapter</span><span class="op">.</span><span class="nam">transform</span><span class="op">(</span><span class="nam">configuration</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t185" href="#t185">185</a></span><span class="t">            <span class="key">assert</span> <span class="nam">set</span><span class="op">(</span><span class="nam">configuration</span><span class="op">.</span><span class="nam">columns</span><span class="op">)</span><span class="op">.</span><span class="nam">issubset</span><span class="op">(</span><span class="nam">set</span><span class="op">(</span><span class="nam">self</span><span class="op">.</span><span class="nam">parameter_space</span><span class="op">)</span><span class="op">)</span><span class="op">,</span> <span class="op">(</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t186" href="#t186">186</a></span><span class="t">                <span class="str">"Space adapter produced a configuration that does "</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t187" href="#t187">187</a></span><span class="t">                <span class="str">"not match the expected parameter space."</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t188" href="#t188">188</a></span><span class="t">            <span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t189" href="#t189">189</a></span><span class="t">        <span class="key">return</span> <span class="nam">configuration</span><span class="op">,</span> <span class="nam">metadata</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t190" href="#t190">190</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t191" href="#t191">191</a></span><span class="t">    <span class="op">@</span><span class="nam">abstractmethod</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t192" href="#t192">192</a></span><span class="t">    <span class="key">def</span> <span class="nam">_suggest</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t193" href="#t193">193</a></span><span class="t">        <span class="nam">self</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t194" href="#t194">194</a></span><span class="t">        <span class="op">*</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t195" href="#t195">195</a></span><span class="t">        <span class="nam">context</span><span class="op">:</span> <span class="nam">Optional</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">]</span> <span class="op">=</span> <span class="key">None</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t196" href="#t196">196</a></span><span class="t">    <span class="op">)</span> <span class="op">-></span> <span class="nam">Tuple</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span> <span class="nam">Optional</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">]</span><span class="op">]</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t197" href="#t197">197</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t198" href="#t198">198</a></span><span class="t"><span class="str">        Suggests a new configuration.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t199" href="#t199">199</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t200" href="#t200">200</a></span><span class="t"><span class="str">        Parameters</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t201" href="#t201">201</a></span><span class="t"><span class="str">        ----------</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t202" href="#t202">202</a></span><span class="t"><span class="str">        context : pd.DataFrame</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t203" href="#t203">203</a></span><span class="t"><span class="str">            Not Yet Implemented.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t204" href="#t204">204</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t205" href="#t205">205</a></span><span class="t"><span class="str">        Returns</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t206" href="#t206">206</a></span><span class="t"><span class="str">        -------</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t207" href="#t207">207</a></span><span class="t"><span class="str">        configuration : pd.DataFrame</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t208" href="#t208">208</a></span><span class="t"><span class="str">            Pandas dataframe with a single row. Column names are the parameter names.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t209" href="#t209">209</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t210" href="#t210">210</a></span><span class="t"><span class="str">        metadata : Optional[pd.DataFrame]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t211" href="#t211">211</a></span><span class="t"><span class="str">            The metadata associated with the given configuration used for evaluations.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t212" href="#t212">212</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="exc show_exc"><span class="n"><a id="t213" href="#t213">213</a></span><span class="t">        <span class="key">pass</span>  <span class="com"># pylint: disable=unnecessary-pass # pragma: no cover</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t214" href="#t214">214</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t215" href="#t215">215</a></span><span class="t">    <span class="op">@</span><span class="nam">abstractmethod</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t216" href="#t216">216</a></span><span class="t">    <span class="key">def</span> <span class="nam">register_pending</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t217" href="#t217">217</a></span><span class="t">        <span class="nam">self</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t218" href="#t218">218</a></span><span class="t">        <span class="op">*</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t219" href="#t219">219</a></span><span class="t">        <span class="nam">configs</span><span class="op">:</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t220" href="#t220">220</a></span><span class="t">        <span class="nam">context</span><span class="op">:</span> <span class="nam">Optional</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">]</span> <span class="op">=</span> <span class="key">None</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t221" href="#t221">221</a></span><span class="t">        <span class="nam">metadata</span><span class="op">:</span> <span class="nam">Optional</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">]</span> <span class="op">=</span> <span class="key">None</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t222" href="#t222">222</a></span><span class="t">    <span class="op">)</span> <span class="op">-></span> <span class="key">None</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t223" href="#t223">223</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t224" href="#t224">224</a></span><span class="t"><span class="str">        Registers the given configs as "pending". That is it say, it has been suggested</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t225" href="#t225">225</a></span><span class="t"><span class="str">        by the optimizer, and an experiment trial has been started. This can be useful</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t226" href="#t226">226</a></span><span class="t"><span class="str">        for executing multiple trials in parallel, retry logic, etc.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t227" href="#t227">227</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t228" href="#t228">228</a></span><span class="t"><span class="str">        Parameters</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t229" href="#t229">229</a></span><span class="t"><span class="str">        ----------</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t230" href="#t230">230</a></span><span class="t"><span class="str">        configs : pd.DataFrame</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t231" href="#t231">231</a></span><span class="t"><span class="str">            Dataframe of configs / parameters. The columns are parameter names and</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t232" href="#t232">232</a></span><span class="t"><span class="str">            the rows are the configs.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t233" href="#t233">233</a></span><span class="t"><span class="str">        context : pd.DataFrame</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t234" href="#t234">234</a></span><span class="t"><span class="str">            Not Yet Implemented.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t235" href="#t235">235</a></span><span class="t"><span class="str">        metadata : Optional[pd.DataFrame]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t236" href="#t236">236</a></span><span class="t"><span class="str">            Not Yet Implemented.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t237" href="#t237">237</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="exc show_exc"><span class="n"><a id="t238" href="#t238">238</a></span><span class="t">        <span class="key">pass</span>  <span class="com"># pylint: disable=unnecessary-pass # pragma: no cover</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t239" href="#t239">239</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t240" href="#t240">240</a></span><span class="t">    <span class="key">def</span> <span class="nam">get_observations</span><span class="op">(</span><span class="nam">self</span><span class="op">)</span> <span class="op">-></span> <span class="nam">Tuple</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span> <span class="nam">Optional</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">]</span><span class="op">]</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t241" href="#t241">241</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t242" href="#t242">242</a></span><span class="t"><span class="str">        Returns the observations as a triplet of DataFrames (config, score, context).</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t243" href="#t243">243</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t244" href="#t244">244</a></span><span class="t"><span class="str">        Returns</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t245" href="#t245">245</a></span><span class="t"><span class="str">        -------</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t246" href="#t246">246</a></span><span class="t"><span class="str">        observations : Tuple[pd.DataFrame, pd.DataFrame, Optional[pd.DataFrame]]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t247" href="#t247">247</a></span><span class="t"><span class="str">            A triplet of (config, score, context) DataFrames of observations.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t248" href="#t248">248</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t249" href="#t249">249</a></span><span class="t">        <span class="key">if</span> <span class="nam">len</span><span class="op">(</span><span class="nam">self</span><span class="op">.</span><span class="nam">_observations</span><span class="op">)</span> <span class="op">==</span> <span class="num">0</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t250" href="#t250">250</a></span><span class="t">            <span class="key">raise</span> <span class="nam">ValueError</span><span class="op">(</span><span class="str">"No observations registered yet."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t251" href="#t251">251</a></span><span class="t">        <span class="nam">configs</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">concat</span><span class="op">(</span><span class="op">[</span><span class="nam">config</span> <span class="key">for</span> <span class="nam">config</span><span class="op">,</span> <span class="nam">_</span><span class="op">,</span> <span class="nam">_</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_observations</span><span class="op">]</span><span class="op">)</span><span class="op">.</span><span class="nam">reset_index</span><span class="op">(</span><span class="nam">drop</span><span class="op">=</span><span class="key">True</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t252" href="#t252">252</a></span><span class="t">        <span class="nam">scores</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">concat</span><span class="op">(</span><span class="op">[</span><span class="nam">score</span> <span class="key">for</span> <span class="nam">_</span><span class="op">,</span> <span class="nam">score</span><span class="op">,</span> <span class="nam">_</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_observations</span><span class="op">]</span><span class="op">)</span><span class="op">.</span><span class="nam">reset_index</span><span class="op">(</span><span class="nam">drop</span><span class="op">=</span><span class="key">True</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t253" href="#t253">253</a></span><span class="t">        <span class="nam">contexts</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">concat</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t254" href="#t254">254</a></span><span class="t">            <span class="op">[</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t255" href="#t255">255</a></span><span class="t">                <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">(</span><span class="op">)</span> <span class="key">if</span> <span class="nam">context</span> <span class="key">is</span> <span class="key">None</span> <span class="key">else</span> <span class="nam">context</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t256" href="#t256">256</a></span><span class="t">                <span class="key">for</span> <span class="nam">_</span><span class="op">,</span> <span class="nam">_</span><span class="op">,</span> <span class="nam">context</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_observations</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t257" href="#t257">257</a></span><span class="t">            <span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t258" href="#t258">258</a></span><span class="t">        <span class="op">)</span><span class="op">.</span><span class="nam">reset_index</span><span class="op">(</span><span class="nam">drop</span><span class="op">=</span><span class="key">True</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t259" href="#t259">259</a></span><span class="t">        <span class="key">return</span> <span class="op">(</span><span class="nam">configs</span><span class="op">,</span> <span class="nam">scores</span><span class="op">,</span> <span class="nam">contexts</span> <span class="key">if</span> <span class="nam">len</span><span class="op">(</span><span class="nam">contexts</span><span class="op">.</span><span class="nam">columns</span><span class="op">)</span> <span class="op">></span> <span class="num">0</span> <span class="key">else</span> <span class="key">None</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t260" href="#t260">260</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t261" href="#t261">261</a></span><span class="t">    <span class="key">def</span> <span class="nam">get_best_observations</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t262" href="#t262">262</a></span><span class="t">        <span class="nam">self</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t263" href="#t263">263</a></span><span class="t">        <span class="op">*</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t264" href="#t264">264</a></span><span class="t">        <span class="nam">n_max</span><span class="op">:</span> <span class="nam">int</span> <span class="op">=</span> <span class="num">1</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t265" href="#t265">265</a></span><span class="t">    <span class="op">)</span> <span class="op">-></span> <span class="nam">Tuple</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span> <span class="nam">Optional</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">]</span><span class="op">]</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t266" href="#t266">266</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t267" href="#t267">267</a></span><span class="t"><span class="str">        Get the N best observations so far as a triplet of DataFrames (config, score,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t268" href="#t268">268</a></span><span class="t"><span class="str">        context). Default is N=1. The columns are ordered in ASCENDING order of the</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t269" href="#t269">269</a></span><span class="t"><span class="str">        optimization targets. The function uses `pandas.DataFrame.nsmallest(...,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t270" href="#t270">270</a></span><span class="t"><span class="str">        keep="first")` method under the hood.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t271" href="#t271">271</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t272" href="#t272">272</a></span><span class="t"><span class="str">        Parameters</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t273" href="#t273">273</a></span><span class="t"><span class="str">        ----------</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t274" href="#t274">274</a></span><span class="t"><span class="str">        n_max : int</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t275" href="#t275">275</a></span><span class="t"><span class="str">            Maximum number of best observations to return. Default is 1.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t170" href="#t170">170</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t171" href="#t171">171</a></span><span class="t"><span class="str">        metadata : Optional[pd.DataFrame]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t172" href="#t172">172</a></span><span class="t"><span class="str">            The metadata associated with the given configuration used for evaluations.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t173" href="#t173">173</a></span><span class="t"><span class="str">            Backend optimizer specific.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t174" href="#t174">174</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t175" href="#t175">175</a></span><span class="t">        <span class="key">if</span> <span class="nam">defaults</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t176" href="#t176">176</a></span><span class="t">            <span class="nam">configuration</span> <span class="op">=</span> <span class="nam">config_to_dataframe</span><span class="op">(</span><span class="nam">self</span><span class="op">.</span><span class="nam">parameter_space</span><span class="op">.</span><span class="nam">get_default_configuration</span><span class="op">(</span><span class="op">)</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t177" href="#t177">177</a></span><span class="t">            <span class="nam">metadata</span> <span class="op">=</span> <span class="key">None</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t178" href="#t178">178</a></span><span class="t">            <span class="key">if</span> <span class="nam">self</span><span class="op">.</span><span class="nam">space_adapter</span> <span class="key">is</span> <span class="key">not</span> <span class="key">None</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t179" href="#t179">179</a></span><span class="t">                <span class="nam">configuration</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">space_adapter</span><span class="op">.</span><span class="nam">inverse_transform</span><span class="op">(</span><span class="nam">configuration</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t180" href="#t180">180</a></span><span class="t">        <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t181" href="#t181">181</a></span><span class="t">            <span class="nam">configuration</span><span class="op">,</span> <span class="nam">metadata</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_suggest</span><span class="op">(</span><span class="nam">context</span><span class="op">=</span><span class="nam">context</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t182" href="#t182">182</a></span><span class="t">            <span class="key">assert</span> <span class="nam">len</span><span class="op">(</span><span class="nam">configuration</span><span class="op">)</span> <span class="op">==</span> <span class="num">1</span><span class="op">,</span> <span class="str">"Suggest must return a single configuration."</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t183" href="#t183">183</a></span><span class="t">            <span class="key">assert</span> <span class="nam">set</span><span class="op">(</span><span class="nam">configuration</span><span class="op">.</span><span class="nam">columns</span><span class="op">)</span><span class="op">.</span><span class="nam">issubset</span><span class="op">(</span><span class="nam">set</span><span class="op">(</span><span class="nam">self</span><span class="op">.</span><span class="nam">optimizer_parameter_space</span><span class="op">)</span><span class="op">)</span><span class="op">,</span> <span class="op">(</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t184" href="#t184">184</a></span><span class="t">                <span class="str">"Optimizer suggested a configuration that does "</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t185" href="#t185">185</a></span><span class="t">                <span class="str">"not match the expected parameter space."</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t186" href="#t186">186</a></span><span class="t">            <span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t187" href="#t187">187</a></span><span class="t">        <span class="key">if</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_space_adapter</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t188" href="#t188">188</a></span><span class="t">            <span class="nam">configuration</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_space_adapter</span><span class="op">.</span><span class="nam">transform</span><span class="op">(</span><span class="nam">configuration</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t189" href="#t189">189</a></span><span class="t">            <span class="key">assert</span> <span class="nam">set</span><span class="op">(</span><span class="nam">configuration</span><span class="op">.</span><span class="nam">columns</span><span class="op">)</span><span class="op">.</span><span class="nam">issubset</span><span class="op">(</span><span class="nam">set</span><span class="op">(</span><span class="nam">self</span><span class="op">.</span><span class="nam">parameter_space</span><span class="op">)</span><span class="op">)</span><span class="op">,</span> <span class="op">(</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t190" href="#t190">190</a></span><span class="t">                <span class="str">"Space adapter produced a configuration that does "</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t191" href="#t191">191</a></span><span class="t">                <span class="str">"not match the expected parameter space."</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t192" href="#t192">192</a></span><span class="t">            <span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t193" href="#t193">193</a></span><span class="t">        <span class="key">return</span> <span class="nam">configuration</span><span class="op">,</span> <span class="nam">metadata</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t194" href="#t194">194</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t195" href="#t195">195</a></span><span class="t">    <span class="op">@</span><span class="nam">abstractmethod</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t196" href="#t196">196</a></span><span class="t">    <span class="key">def</span> <span class="nam">_suggest</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t197" href="#t197">197</a></span><span class="t">        <span class="nam">self</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t198" href="#t198">198</a></span><span class="t">        <span class="op">*</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t199" href="#t199">199</a></span><span class="t">        <span class="nam">context</span><span class="op">:</span> <span class="nam">Optional</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">]</span> <span class="op">=</span> <span class="key">None</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t200" href="#t200">200</a></span><span class="t">    <span class="op">)</span> <span class="op">-></span> <span class="nam">Tuple</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span> <span class="nam">Optional</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">]</span><span class="op">]</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t201" href="#t201">201</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t202" href="#t202">202</a></span><span class="t"><span class="str">        Suggests a new configuration.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t203" href="#t203">203</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t204" href="#t204">204</a></span><span class="t"><span class="str">        Parameters</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t205" href="#t205">205</a></span><span class="t"><span class="str">        ----------</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t206" href="#t206">206</a></span><span class="t"><span class="str">        context : pd.DataFrame</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t207" href="#t207">207</a></span><span class="t"><span class="str">            Not Yet Implemented.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t208" href="#t208">208</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t209" href="#t209">209</a></span><span class="t"><span class="str">        Returns</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t210" href="#t210">210</a></span><span class="t"><span class="str">        -------</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t211" href="#t211">211</a></span><span class="t"><span class="str">        configuration : pd.DataFrame</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t212" href="#t212">212</a></span><span class="t"><span class="str">            Pandas dataframe with a single row. Column names are the parameter names.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t213" href="#t213">213</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t214" href="#t214">214</a></span><span class="t"><span class="str">        metadata : Optional[pd.DataFrame]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t215" href="#t215">215</a></span><span class="t"><span class="str">            The metadata associated with the given configuration used for evaluations.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t216" href="#t216">216</a></span><span class="t"><span class="str">            Backend optimizer specific.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t217" href="#t217">217</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="exc show_exc"><span class="n"><a id="t218" href="#t218">218</a></span><span class="t">        <span class="key">pass</span>  <span class="com"># pylint: disable=unnecessary-pass # pragma: no cover</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t219" href="#t219">219</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t220" href="#t220">220</a></span><span class="t">    <span class="op">@</span><span class="nam">abstractmethod</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t221" href="#t221">221</a></span><span class="t">    <span class="key">def</span> <span class="nam">register_pending</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t222" href="#t222">222</a></span><span class="t">        <span class="nam">self</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t223" href="#t223">223</a></span><span class="t">        <span class="op">*</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t224" href="#t224">224</a></span><span class="t">        <span class="nam">configs</span><span class="op">:</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t225" href="#t225">225</a></span><span class="t">        <span class="nam">context</span><span class="op">:</span> <span class="nam">Optional</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">]</span> <span class="op">=</span> <span class="key">None</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t226" href="#t226">226</a></span><span class="t">        <span class="nam">metadata</span><span class="op">:</span> <span class="nam">Optional</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">]</span> <span class="op">=</span> <span class="key">None</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t227" href="#t227">227</a></span><span class="t">    <span class="op">)</span> <span class="op">-></span> <span class="key">None</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t228" href="#t228">228</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t229" href="#t229">229</a></span><span class="t"><span class="str">        Registers the given configs as "pending". That is it say, it has been suggested</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t230" href="#t230">230</a></span><span class="t"><span class="str">        by the optimizer, and an experiment trial has been started. This can be useful</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t231" href="#t231">231</a></span><span class="t"><span class="str">        for executing multiple trials in parallel, retry logic, etc.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t232" href="#t232">232</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t233" href="#t233">233</a></span><span class="t"><span class="str">        Parameters</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t234" href="#t234">234</a></span><span class="t"><span class="str">        ----------</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t235" href="#t235">235</a></span><span class="t"><span class="str">        configs : pd.DataFrame</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t236" href="#t236">236</a></span><span class="t"><span class="str">            Dataframe of configs / parameters. The columns are parameter names and</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t237" href="#t237">237</a></span><span class="t"><span class="str">            the rows are the configs.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t238" href="#t238">238</a></span><span class="t"><span class="str">        context : pd.DataFrame</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t239" href="#t239">239</a></span><span class="t"><span class="str">            Not Yet Implemented.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t240" href="#t240">240</a></span><span class="t"><span class="str">        metadata : Optional[pd.DataFrame]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t241" href="#t241">241</a></span><span class="t"><span class="str">            Metadata returned by the backend optimizer's suggest method.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t242" href="#t242">242</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="exc show_exc"><span class="n"><a id="t243" href="#t243">243</a></span><span class="t">        <span class="key">pass</span>  <span class="com"># pylint: disable=unnecessary-pass # pragma: no cover</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t244" href="#t244">244</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t245" href="#t245">245</a></span><span class="t">    <span class="key">def</span> <span class="nam">get_observations</span><span class="op">(</span><span class="nam">self</span><span class="op">)</span> <span class="op">-></span> <span class="nam">Tuple</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span> <span class="nam">Optional</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">]</span><span class="op">]</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t246" href="#t246">246</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t247" href="#t247">247</a></span><span class="t"><span class="str">        Returns the observations as a triplet of DataFrames (config, score, context).</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t248" href="#t248">248</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t249" href="#t249">249</a></span><span class="t"><span class="str">        Returns</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t250" href="#t250">250</a></span><span class="t"><span class="str">        -------</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t251" href="#t251">251</a></span><span class="t"><span class="str">        observations : Tuple[pd.DataFrame, pd.DataFrame, Optional[pd.DataFrame]]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t252" href="#t252">252</a></span><span class="t"><span class="str">            A triplet of (config, score, context) DataFrames of observations.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t253" href="#t253">253</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t254" href="#t254">254</a></span><span class="t">        <span class="key">if</span> <span class="nam">len</span><span class="op">(</span><span class="nam">self</span><span class="op">.</span><span class="nam">_observations</span><span class="op">)</span> <span class="op">==</span> <span class="num">0</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t255" href="#t255">255</a></span><span class="t">            <span class="key">raise</span> <span class="nam">ValueError</span><span class="op">(</span><span class="str">"No observations registered yet."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t256" href="#t256">256</a></span><span class="t">        <span class="nam">configs</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">concat</span><span class="op">(</span><span class="op">[</span><span class="nam">config</span> <span class="key">for</span> <span class="nam">config</span><span class="op">,</span> <span class="nam">_</span><span class="op">,</span> <span class="nam">_</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_observations</span><span class="op">]</span><span class="op">)</span><span class="op">.</span><span class="nam">reset_index</span><span class="op">(</span><span class="nam">drop</span><span class="op">=</span><span class="key">True</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t257" href="#t257">257</a></span><span class="t">        <span class="nam">scores</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">concat</span><span class="op">(</span><span class="op">[</span><span class="nam">score</span> <span class="key">for</span> <span class="nam">_</span><span class="op">,</span> <span class="nam">score</span><span class="op">,</span> <span class="nam">_</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_observations</span><span class="op">]</span><span class="op">)</span><span class="op">.</span><span class="nam">reset_index</span><span class="op">(</span><span class="nam">drop</span><span class="op">=</span><span class="key">True</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t258" href="#t258">258</a></span><span class="t">        <span class="nam">contexts</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">concat</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t259" href="#t259">259</a></span><span class="t">            <span class="op">[</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t260" href="#t260">260</a></span><span class="t">                <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">(</span><span class="op">)</span> <span class="key">if</span> <span class="nam">context</span> <span class="key">is</span> <span class="key">None</span> <span class="key">else</span> <span class="nam">context</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t261" href="#t261">261</a></span><span class="t">                <span class="key">for</span> <span class="nam">_</span><span class="op">,</span> <span class="nam">_</span><span class="op">,</span> <span class="nam">context</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_observations</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t262" href="#t262">262</a></span><span class="t">            <span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t263" href="#t263">263</a></span><span class="t">        <span class="op">)</span><span class="op">.</span><span class="nam">reset_index</span><span class="op">(</span><span class="nam">drop</span><span class="op">=</span><span class="key">True</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t264" href="#t264">264</a></span><span class="t">        <span class="key">return</span> <span class="op">(</span><span class="nam">configs</span><span class="op">,</span> <span class="nam">scores</span><span class="op">,</span> <span class="nam">contexts</span> <span class="key">if</span> <span class="nam">len</span><span class="op">(</span><span class="nam">contexts</span><span class="op">.</span><span class="nam">columns</span><span class="op">)</span> <span class="op">></span> <span class="num">0</span> <span class="key">else</span> <span class="key">None</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t265" href="#t265">265</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t266" href="#t266">266</a></span><span class="t">    <span class="key">def</span> <span class="nam">get_best_observations</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t267" href="#t267">267</a></span><span class="t">        <span class="nam">self</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t268" href="#t268">268</a></span><span class="t">        <span class="op">*</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t269" href="#t269">269</a></span><span class="t">        <span class="nam">n_max</span><span class="op">:</span> <span class="nam">int</span> <span class="op">=</span> <span class="num">1</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t270" href="#t270">270</a></span><span class="t">    <span class="op">)</span> <span class="op">-></span> <span class="nam">Tuple</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span> <span class="nam">Optional</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">]</span><span class="op">]</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t271" href="#t271">271</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t272" href="#t272">272</a></span><span class="t"><span class="str">        Get the N best observations so far as a triplet of DataFrames (config, score,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t273" href="#t273">273</a></span><span class="t"><span class="str">        context). Default is N=1. The columns are ordered in ASCENDING order of the</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t274" href="#t274">274</a></span><span class="t"><span class="str">        optimization targets. The function uses `pandas.DataFrame.nsmallest(...,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t275" href="#t275">275</a></span><span class="t"><span class="str">        keep="first")` method under the hood.</span>&nbsp;</span><span class="r"></span></p>
     <p class="pln"><span class="n"><a id="t276" href="#t276">276</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t277" href="#t277">277</a></span><span class="t"><span class="str">        Returns</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t278" href="#t278">278</a></span><span class="t"><span class="str">        -------</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t279" href="#t279">279</a></span><span class="t"><span class="str">        observations : Tuple[pd.DataFrame, pd.DataFrame, Optional[pd.DataFrame]]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t280" href="#t280">280</a></span><span class="t"><span class="str">            A triplet of best (config, score, context) DataFrames of best observations.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t281" href="#t281">281</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t282" href="#t282">282</a></span><span class="t">        <span class="key">if</span> <span class="nam">len</span><span class="op">(</span><span class="nam">self</span><span class="op">.</span><span class="nam">_observations</span><span class="op">)</span> <span class="op">==</span> <span class="num">0</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t283" href="#t283">283</a></span><span class="t">            <span class="key">raise</span> <span class="nam">ValueError</span><span class="op">(</span><span class="str">"No observations registered yet."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t284" href="#t284">284</a></span><span class="t">        <span class="op">(</span><span class="nam">configs</span><span class="op">,</span> <span class="nam">scores</span><span class="op">,</span> <span class="nam">contexts</span><span class="op">)</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">get_observations</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t285" href="#t285">285</a></span><span class="t">        <span class="nam">idx</span> <span class="op">=</span> <span class="nam">scores</span><span class="op">.</span><span class="nam">nsmallest</span><span class="op">(</span><span class="nam">n_max</span><span class="op">,</span> <span class="nam">columns</span><span class="op">=</span><span class="nam">self</span><span class="op">.</span><span class="nam">_optimization_targets</span><span class="op">,</span> <span class="nam">keep</span><span class="op">=</span><span class="str">"first"</span><span class="op">)</span><span class="op">.</span><span class="nam">index</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t286" href="#t286">286</a></span><span class="t">        <span class="key">return</span> <span class="op">(</span><span class="nam">configs</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">idx</span><span class="op">]</span><span class="op">,</span> <span class="nam">scores</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">idx</span><span class="op">]</span><span class="op">,</span> <span class="key">None</span> <span class="key">if</span> <span class="nam">contexts</span> <span class="key">is</span> <span class="key">None</span> <span class="key">else</span> <span class="nam">contexts</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">idx</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t287" href="#t287">287</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t288" href="#t288">288</a></span><span class="t">    <span class="key">def</span> <span class="nam">cleanup</span><span class="op">(</span><span class="nam">self</span><span class="op">)</span> <span class="op">-></span> <span class="key">None</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t289" href="#t289">289</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t290" href="#t290">290</a></span><span class="t"><span class="str">        Remove temp files, release resources, etc.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t291" href="#t291">291</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t292" href="#t292">292</a></span><span class="t"><span class="str">        after use. Default is no-op. Redefine this method in optimizers that require</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t293" href="#t293">293</a></span><span class="t"><span class="str">        cleanup.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t294" href="#t294">294</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t295" href="#t295">295</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t296" href="#t296">296</a></span><span class="t">    <span class="key">def</span> <span class="nam">_from_1hot</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="op">*</span><span class="op">,</span> <span class="nam">config</span><span class="op">:</span> <span class="nam">npt</span><span class="op">.</span><span class="nam">NDArray</span><span class="op">)</span> <span class="op">-></span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t297" href="#t297">297</a></span><span class="t">        <span class="str">"""Convert numpy array from one-hot encoding to a DataFrame with categoricals</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t298" href="#t298">298</a></span><span class="t"><span class="str">        and ints in proper columns.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t277" href="#t277">277</a></span><span class="t"><span class="str">        Parameters</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t278" href="#t278">278</a></span><span class="t"><span class="str">        ----------</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t279" href="#t279">279</a></span><span class="t"><span class="str">        n_max : int</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t280" href="#t280">280</a></span><span class="t"><span class="str">            Maximum number of best observations to return. Default is 1.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t281" href="#t281">281</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t282" href="#t282">282</a></span><span class="t"><span class="str">        Returns</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t283" href="#t283">283</a></span><span class="t"><span class="str">        -------</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t284" href="#t284">284</a></span><span class="t"><span class="str">        observations : Tuple[pd.DataFrame, pd.DataFrame, Optional[pd.DataFrame]]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t285" href="#t285">285</a></span><span class="t"><span class="str">            A triplet of best (config, score, context) DataFrames of best observations.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t286" href="#t286">286</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t287" href="#t287">287</a></span><span class="t">        <span class="key">if</span> <span class="nam">len</span><span class="op">(</span><span class="nam">self</span><span class="op">.</span><span class="nam">_observations</span><span class="op">)</span> <span class="op">==</span> <span class="num">0</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t288" href="#t288">288</a></span><span class="t">            <span class="key">raise</span> <span class="nam">ValueError</span><span class="op">(</span><span class="str">"No observations registered yet."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t289" href="#t289">289</a></span><span class="t">        <span class="op">(</span><span class="nam">configs</span><span class="op">,</span> <span class="nam">scores</span><span class="op">,</span> <span class="nam">contexts</span><span class="op">)</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">get_observations</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t290" href="#t290">290</a></span><span class="t">        <span class="nam">idx</span> <span class="op">=</span> <span class="nam">scores</span><span class="op">.</span><span class="nam">nsmallest</span><span class="op">(</span><span class="nam">n_max</span><span class="op">,</span> <span class="nam">columns</span><span class="op">=</span><span class="nam">self</span><span class="op">.</span><span class="nam">_optimization_targets</span><span class="op">,</span> <span class="nam">keep</span><span class="op">=</span><span class="str">"first"</span><span class="op">)</span><span class="op">.</span><span class="nam">index</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t291" href="#t291">291</a></span><span class="t">        <span class="key">return</span> <span class="op">(</span><span class="nam">configs</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">idx</span><span class="op">]</span><span class="op">,</span> <span class="nam">scores</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">idx</span><span class="op">]</span><span class="op">,</span> <span class="key">None</span> <span class="key">if</span> <span class="nam">contexts</span> <span class="key">is</span> <span class="key">None</span> <span class="key">else</span> <span class="nam">contexts</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">idx</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t292" href="#t292">292</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t293" href="#t293">293</a></span><span class="t">    <span class="key">def</span> <span class="nam">cleanup</span><span class="op">(</span><span class="nam">self</span><span class="op">)</span> <span class="op">-></span> <span class="key">None</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t294" href="#t294">294</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t295" href="#t295">295</a></span><span class="t"><span class="str">        Remove temp files, release resources, etc.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t296" href="#t296">296</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t297" href="#t297">297</a></span><span class="t"><span class="str">        after use. Default is no-op. Redefine this method in optimizers that require</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t298" href="#t298">298</a></span><span class="t"><span class="str">        cleanup.</span>&nbsp;</span><span class="r"></span></p>
     <p class="pln"><span class="n"><a id="t299" href="#t299">299</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t300" href="#t300">300</a></span><span class="t">        <span class="nam">df_dict</span> <span class="op">=</span> <span class="nam">collections</span><span class="op">.</span><span class="nam">defaultdict</span><span class="op">(</span><span class="nam">list</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t301" href="#t301">301</a></span><span class="t">        <span class="key">for</span> <span class="nam">i</span> <span class="key">in</span> <span class="nam">range</span><span class="op">(</span><span class="nam">config</span><span class="op">.</span><span class="nam">shape</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t302" href="#t302">302</a></span><span class="t">            <span class="nam">j</span> <span class="op">=</span> <span class="num">0</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t303" href="#t303">303</a></span><span class="t">            <span class="key">for</span> <span class="nam">param</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">optimizer_parameter_space</span><span class="op">.</span><span class="nam">values</span><span class="op">(</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t304" href="#t304">304</a></span><span class="t">                <span class="key">if</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">param</span><span class="op">,</span> <span class="nam">ConfigSpace</span><span class="op">.</span><span class="nam">CategoricalHyperparameter</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t305" href="#t305">305</a></span><span class="t">                    <span class="key">for</span> <span class="nam">offset</span><span class="op">,</span> <span class="nam">val</span> <span class="key">in</span> <span class="nam">enumerate</span><span class="op">(</span><span class="nam">param</span><span class="op">.</span><span class="nam">choices</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t306" href="#t306">306</a></span><span class="t">                        <span class="key">if</span> <span class="nam">config</span><span class="op">[</span><span class="nam">i</span><span class="op">]</span><span class="op">[</span><span class="nam">j</span> <span class="op">+</span> <span class="nam">offset</span><span class="op">]</span> <span class="op">==</span> <span class="num">1</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t307" href="#t307">307</a></span><span class="t">                            <span class="nam">df_dict</span><span class="op">[</span><span class="nam">param</span><span class="op">.</span><span class="nam">name</span><span class="op">]</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">val</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t308" href="#t308">308</a></span><span class="t">                            <span class="key">break</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t309" href="#t309">309</a></span><span class="t">                    <span class="nam">j</span> <span class="op">+=</span> <span class="nam">len</span><span class="op">(</span><span class="nam">param</span><span class="op">.</span><span class="nam">choices</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t310" href="#t310">310</a></span><span class="t">                <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t311" href="#t311">311</a></span><span class="t">                    <span class="nam">val</span> <span class="op">=</span> <span class="nam">config</span><span class="op">[</span><span class="nam">i</span><span class="op">]</span><span class="op">[</span><span class="nam">j</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t312" href="#t312">312</a></span><span class="t">                    <span class="key">if</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">param</span><span class="op">,</span> <span class="nam">ConfigSpace</span><span class="op">.</span><span class="nam">UniformIntegerHyperparameter</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t313" href="#t313">313</a></span><span class="t">                        <span class="nam">val</span> <span class="op">=</span> <span class="nam">int</span><span class="op">(</span><span class="nam">val</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t314" href="#t314">314</a></span><span class="t">                    <span class="nam">df_dict</span><span class="op">[</span><span class="nam">param</span><span class="op">.</span><span class="nam">name</span><span class="op">]</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">val</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t315" href="#t315">315</a></span><span class="t">                    <span class="nam">j</span> <span class="op">+=</span> <span class="num">1</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t316" href="#t316">316</a></span><span class="t">        <span class="key">return</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">(</span><span class="nam">df_dict</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t317" href="#t317">317</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t318" href="#t318">318</a></span><span class="t">    <span class="key">def</span> <span class="nam">_to_1hot</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="op">*</span><span class="op">,</span> <span class="nam">config</span><span class="op">:</span> <span class="nam">Union</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">Series</span><span class="op">]</span><span class="op">)</span> <span class="op">-></span> <span class="nam">npt</span><span class="op">.</span><span class="nam">NDArray</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t319" href="#t319">319</a></span><span class="t">        <span class="str">"""Convert pandas DataFrame to one-hot-encoded numpy array."""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t320" href="#t320">320</a></span><span class="t">        <span class="nam">n_cols</span> <span class="op">=</span> <span class="num">0</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t321" href="#t321">321</a></span><span class="t">        <span class="nam">n_rows</span> <span class="op">=</span> <span class="nam">config</span><span class="op">.</span><span class="nam">shape</span><span class="op">[</span><span class="num">0</span><span class="op">]</span> <span class="key">if</span> <span class="nam">config</span><span class="op">.</span><span class="nam">ndim</span> <span class="op">></span> <span class="num">1</span> <span class="key">else</span> <span class="num">1</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t322" href="#t322">322</a></span><span class="t">        <span class="key">for</span> <span class="nam">param</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">optimizer_parameter_space</span><span class="op">.</span><span class="nam">values</span><span class="op">(</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t323" href="#t323">323</a></span><span class="t">            <span class="key">if</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">param</span><span class="op">,</span> <span class="nam">ConfigSpace</span><span class="op">.</span><span class="nam">CategoricalHyperparameter</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t324" href="#t324">324</a></span><span class="t">                <span class="nam">n_cols</span> <span class="op">+=</span> <span class="nam">len</span><span class="op">(</span><span class="nam">param</span><span class="op">.</span><span class="nam">choices</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t325" href="#t325">325</a></span><span class="t">            <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t326" href="#t326">326</a></span><span class="t">                <span class="nam">n_cols</span> <span class="op">+=</span> <span class="num">1</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t327" href="#t327">327</a></span><span class="t">        <span class="nam">one_hot</span> <span class="op">=</span> <span class="nam">np</span><span class="op">.</span><span class="nam">zeros</span><span class="op">(</span><span class="op">(</span><span class="nam">n_rows</span><span class="op">,</span> <span class="nam">n_cols</span><span class="op">)</span><span class="op">,</span> <span class="nam">dtype</span><span class="op">=</span><span class="nam">np</span><span class="op">.</span><span class="nam">float32</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t328" href="#t328">328</a></span><span class="t">        <span class="key">for</span> <span class="nam">i</span> <span class="key">in</span> <span class="nam">range</span><span class="op">(</span><span class="nam">n_rows</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t329" href="#t329">329</a></span><span class="t">            <span class="nam">j</span> <span class="op">=</span> <span class="num">0</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t330" href="#t330">330</a></span><span class="t">            <span class="key">for</span> <span class="nam">param</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">optimizer_parameter_space</span><span class="op">.</span><span class="nam">values</span><span class="op">(</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t331" href="#t331">331</a></span><span class="t">                <span class="key">if</span> <span class="nam">config</span><span class="op">.</span><span class="nam">ndim</span> <span class="op">></span> <span class="num">1</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t332" href="#t332">332</a></span><span class="t">                    <span class="key">assert</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">config</span><span class="op">,</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t333" href="#t333">333</a></span><span class="t">                    <span class="nam">col</span> <span class="op">=</span> <span class="nam">config</span><span class="op">.</span><span class="nam">columns</span><span class="op">.</span><span class="nam">get_loc</span><span class="op">(</span><span class="nam">param</span><span class="op">.</span><span class="nam">name</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t334" href="#t334">334</a></span><span class="t">                    <span class="key">assert</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">col</span><span class="op">,</span> <span class="nam">int</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t335" href="#t335">335</a></span><span class="t">                    <span class="nam">val</span> <span class="op">=</span> <span class="nam">config</span><span class="op">.</span><span class="nam">iloc</span><span class="op">[</span><span class="nam">i</span><span class="op">,</span> <span class="nam">col</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t336" href="#t336">336</a></span><span class="t">                <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t337" href="#t337">337</a></span><span class="t">                    <span class="key">assert</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">config</span><span class="op">,</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">Series</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t338" href="#t338">338</a></span><span class="t">                    <span class="nam">col</span> <span class="op">=</span> <span class="nam">config</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">get_loc</span><span class="op">(</span><span class="nam">param</span><span class="op">.</span><span class="nam">name</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t300" href="#t300">300</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t301" href="#t301">301</a></span><span class="t">    <span class="key">def</span> <span class="nam">_from_1hot</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="op">*</span><span class="op">,</span> <span class="nam">config</span><span class="op">:</span> <span class="nam">npt</span><span class="op">.</span><span class="nam">NDArray</span><span class="op">)</span> <span class="op">-></span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t302" href="#t302">302</a></span><span class="t">        <span class="str">"""Convert numpy array from one-hot encoding to a DataFrame with categoricals</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t303" href="#t303">303</a></span><span class="t"><span class="str">        and ints in proper columns.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t304" href="#t304">304</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t305" href="#t305">305</a></span><span class="t">        <span class="nam">df_dict</span> <span class="op">=</span> <span class="nam">collections</span><span class="op">.</span><span class="nam">defaultdict</span><span class="op">(</span><span class="nam">list</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t306" href="#t306">306</a></span><span class="t">        <span class="key">for</span> <span class="nam">i</span> <span class="key">in</span> <span class="nam">range</span><span class="op">(</span><span class="nam">config</span><span class="op">.</span><span class="nam">shape</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t307" href="#t307">307</a></span><span class="t">            <span class="nam">j</span> <span class="op">=</span> <span class="num">0</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t308" href="#t308">308</a></span><span class="t">            <span class="key">for</span> <span class="nam">param</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">optimizer_parameter_space</span><span class="op">.</span><span class="nam">values</span><span class="op">(</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t309" href="#t309">309</a></span><span class="t">                <span class="key">if</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">param</span><span class="op">,</span> <span class="nam">ConfigSpace</span><span class="op">.</span><span class="nam">CategoricalHyperparameter</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t310" href="#t310">310</a></span><span class="t">                    <span class="key">for</span> <span class="nam">offset</span><span class="op">,</span> <span class="nam">val</span> <span class="key">in</span> <span class="nam">enumerate</span><span class="op">(</span><span class="nam">param</span><span class="op">.</span><span class="nam">choices</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t311" href="#t311">311</a></span><span class="t">                        <span class="key">if</span> <span class="nam">config</span><span class="op">[</span><span class="nam">i</span><span class="op">]</span><span class="op">[</span><span class="nam">j</span> <span class="op">+</span> <span class="nam">offset</span><span class="op">]</span> <span class="op">==</span> <span class="num">1</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t312" href="#t312">312</a></span><span class="t">                            <span class="nam">df_dict</span><span class="op">[</span><span class="nam">param</span><span class="op">.</span><span class="nam">name</span><span class="op">]</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">val</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t313" href="#t313">313</a></span><span class="t">                            <span class="key">break</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t314" href="#t314">314</a></span><span class="t">                    <span class="nam">j</span> <span class="op">+=</span> <span class="nam">len</span><span class="op">(</span><span class="nam">param</span><span class="op">.</span><span class="nam">choices</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t315" href="#t315">315</a></span><span class="t">                <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t316" href="#t316">316</a></span><span class="t">                    <span class="nam">val</span> <span class="op">=</span> <span class="nam">config</span><span class="op">[</span><span class="nam">i</span><span class="op">]</span><span class="op">[</span><span class="nam">j</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t317" href="#t317">317</a></span><span class="t">                    <span class="key">if</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">param</span><span class="op">,</span> <span class="nam">ConfigSpace</span><span class="op">.</span><span class="nam">UniformIntegerHyperparameter</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t318" href="#t318">318</a></span><span class="t">                        <span class="nam">val</span> <span class="op">=</span> <span class="nam">int</span><span class="op">(</span><span class="nam">val</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t319" href="#t319">319</a></span><span class="t">                    <span class="nam">df_dict</span><span class="op">[</span><span class="nam">param</span><span class="op">.</span><span class="nam">name</span><span class="op">]</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">val</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t320" href="#t320">320</a></span><span class="t">                    <span class="nam">j</span> <span class="op">+=</span> <span class="num">1</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t321" href="#t321">321</a></span><span class="t">        <span class="key">return</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">(</span><span class="nam">df_dict</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t322" href="#t322">322</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t323" href="#t323">323</a></span><span class="t">    <span class="key">def</span> <span class="nam">_to_1hot</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="op">*</span><span class="op">,</span> <span class="nam">config</span><span class="op">:</span> <span class="nam">Union</span><span class="op">[</span><span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">Series</span><span class="op">]</span><span class="op">)</span> <span class="op">-></span> <span class="nam">npt</span><span class="op">.</span><span class="nam">NDArray</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t324" href="#t324">324</a></span><span class="t">        <span class="str">"""Convert pandas DataFrame to one-hot-encoded numpy array."""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t325" href="#t325">325</a></span><span class="t">        <span class="nam">n_cols</span> <span class="op">=</span> <span class="num">0</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t326" href="#t326">326</a></span><span class="t">        <span class="nam">n_rows</span> <span class="op">=</span> <span class="nam">config</span><span class="op">.</span><span class="nam">shape</span><span class="op">[</span><span class="num">0</span><span class="op">]</span> <span class="key">if</span> <span class="nam">config</span><span class="op">.</span><span class="nam">ndim</span> <span class="op">></span> <span class="num">1</span> <span class="key">else</span> <span class="num">1</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t327" href="#t327">327</a></span><span class="t">        <span class="key">for</span> <span class="nam">param</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">optimizer_parameter_space</span><span class="op">.</span><span class="nam">values</span><span class="op">(</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t328" href="#t328">328</a></span><span class="t">            <span class="key">if</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">param</span><span class="op">,</span> <span class="nam">ConfigSpace</span><span class="op">.</span><span class="nam">CategoricalHyperparameter</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t329" href="#t329">329</a></span><span class="t">                <span class="nam">n_cols</span> <span class="op">+=</span> <span class="nam">len</span><span class="op">(</span><span class="nam">param</span><span class="op">.</span><span class="nam">choices</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t330" href="#t330">330</a></span><span class="t">            <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t331" href="#t331">331</a></span><span class="t">                <span class="nam">n_cols</span> <span class="op">+=</span> <span class="num">1</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t332" href="#t332">332</a></span><span class="t">        <span class="nam">one_hot</span> <span class="op">=</span> <span class="nam">np</span><span class="op">.</span><span class="nam">zeros</span><span class="op">(</span><span class="op">(</span><span class="nam">n_rows</span><span class="op">,</span> <span class="nam">n_cols</span><span class="op">)</span><span class="op">,</span> <span class="nam">dtype</span><span class="op">=</span><span class="nam">np</span><span class="op">.</span><span class="nam">float32</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t333" href="#t333">333</a></span><span class="t">        <span class="key">for</span> <span class="nam">i</span> <span class="key">in</span> <span class="nam">range</span><span class="op">(</span><span class="nam">n_rows</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t334" href="#t334">334</a></span><span class="t">            <span class="nam">j</span> <span class="op">=</span> <span class="num">0</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t335" href="#t335">335</a></span><span class="t">            <span class="key">for</span> <span class="nam">param</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">optimizer_parameter_space</span><span class="op">.</span><span class="nam">values</span><span class="op">(</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t336" href="#t336">336</a></span><span class="t">                <span class="key">if</span> <span class="nam">config</span><span class="op">.</span><span class="nam">ndim</span> <span class="op">></span> <span class="num">1</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t337" href="#t337">337</a></span><span class="t">                    <span class="key">assert</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">config</span><span class="op">,</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t338" href="#t338">338</a></span><span class="t">                    <span class="nam">col</span> <span class="op">=</span> <span class="nam">config</span><span class="op">.</span><span class="nam">columns</span><span class="op">.</span><span class="nam">get_loc</span><span class="op">(</span><span class="nam">param</span><span class="op">.</span><span class="nam">name</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
     <p class="run"><span class="n"><a id="t339" href="#t339">339</a></span><span class="t">                    <span class="key">assert</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">col</span><span class="op">,</span> <span class="nam">int</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t340" href="#t340">340</a></span><span class="t">                    <span class="nam">val</span> <span class="op">=</span> <span class="nam">config</span><span class="op">.</span><span class="nam">iloc</span><span class="op">[</span><span class="nam">col</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t341" href="#t341">341</a></span><span class="t">                <span class="key">if</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">param</span><span class="op">,</span> <span class="nam">ConfigSpace</span><span class="op">.</span><span class="nam">CategoricalHyperparameter</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t342" href="#t342">342</a></span><span class="t">                    <span class="nam">offset</span> <span class="op">=</span> <span class="nam">param</span><span class="op">.</span><span class="nam">choices</span><span class="op">.</span><span class="nam">index</span><span class="op">(</span><span class="nam">val</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t343" href="#t343">343</a></span><span class="t">                    <span class="nam">one_hot</span><span class="op">[</span><span class="nam">i</span><span class="op">]</span><span class="op">[</span><span class="nam">j</span> <span class="op">+</span> <span class="nam">offset</span><span class="op">]</span> <span class="op">=</span> <span class="num">1</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t344" href="#t344">344</a></span><span class="t">                    <span class="nam">j</span> <span class="op">+=</span> <span class="nam">len</span><span class="op">(</span><span class="nam">param</span><span class="op">.</span><span class="nam">choices</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t345" href="#t345">345</a></span><span class="t">                <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t346" href="#t346">346</a></span><span class="t">                    <span class="nam">one_hot</span><span class="op">[</span><span class="nam">i</span><span class="op">]</span><span class="op">[</span><span class="nam">j</span><span class="op">]</span> <span class="op">=</span> <span class="nam">val</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t347" href="#t347">347</a></span><span class="t">                    <span class="nam">j</span> <span class="op">+=</span> <span class="num">1</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t348" href="#t348">348</a></span><span class="t">        <span class="key">return</span> <span class="nam">one_hot</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t340" href="#t340">340</a></span><span class="t">                    <span class="nam">val</span> <span class="op">=</span> <span class="nam">config</span><span class="op">.</span><span class="nam">iloc</span><span class="op">[</span><span class="nam">i</span><span class="op">,</span> <span class="nam">col</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t341" href="#t341">341</a></span><span class="t">                <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t342" href="#t342">342</a></span><span class="t">                    <span class="key">assert</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">config</span><span class="op">,</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">Series</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t343" href="#t343">343</a></span><span class="t">                    <span class="nam">col</span> <span class="op">=</span> <span class="nam">config</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">get_loc</span><span class="op">(</span><span class="nam">param</span><span class="op">.</span><span class="nam">name</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t344" href="#t344">344</a></span><span class="t">                    <span class="key">assert</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">col</span><span class="op">,</span> <span class="nam">int</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t345" href="#t345">345</a></span><span class="t">                    <span class="nam">val</span> <span class="op">=</span> <span class="nam">config</span><span class="op">.</span><span class="nam">iloc</span><span class="op">[</span><span class="nam">col</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t346" href="#t346">346</a></span><span class="t">                <span class="key">if</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">param</span><span class="op">,</span> <span class="nam">ConfigSpace</span><span class="op">.</span><span class="nam">CategoricalHyperparameter</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t347" href="#t347">347</a></span><span class="t">                    <span class="nam">offset</span> <span class="op">=</span> <span class="nam">param</span><span class="op">.</span><span class="nam">choices</span><span class="op">.</span><span class="nam">index</span><span class="op">(</span><span class="nam">val</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t348" href="#t348">348</a></span><span class="t">                    <span class="nam">one_hot</span><span class="op">[</span><span class="nam">i</span><span class="op">]</span><span class="op">[</span><span class="nam">j</span> <span class="op">+</span> <span class="nam">offset</span><span class="op">]</span> <span class="op">=</span> <span class="num">1</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t349" href="#t349">349</a></span><span class="t">                    <span class="nam">j</span> <span class="op">+=</span> <span class="nam">len</span><span class="op">(</span><span class="nam">param</span><span class="op">.</span><span class="nam">choices</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t350" href="#t350">350</a></span><span class="t">                <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t351" href="#t351">351</a></span><span class="t">                    <span class="nam">one_hot</span><span class="op">[</span><span class="nam">i</span><span class="op">]</span><span class="op">[</span><span class="nam">j</span><span class="op">]</span> <span class="op">=</span> <span class="nam">val</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t352" href="#t352">352</a></span><span class="t">                    <span class="nam">j</span> <span class="op">+=</span> <span class="num">1</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t353" href="#t353">353</a></span><span class="t">        <span class="key">return</span> <span class="nam">one_hot</span>&nbsp;</span><span class="r"></span></p>
 </main>
 <footer>
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             &nbsp; &nbsp; &nbsp;
             <a class="nav" href="https://coverage.readthedocs.io/en/7.6.1">coverage.py v7.6.1</a>,
-            created at 2024-08-07 22:58 +0000
+            created at 2024-08-07 23:27 +0000
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diff --git a/htmlcov/z_83ca15bbe4632fea_random_optimizer_py.html b/htmlcov/z_83ca15bbe4632fea_random_optimizer_py.html
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             &nbsp; &nbsp; &nbsp;
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-            created at 2024-08-07 22:58 +0000
+            created at 2024-08-07 23:27 +0000
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-            created at 2024-08-07 22:58 +0000
+            created at 2024-08-07 23:27 +0000
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+++ b/htmlcov/z_866c2aed5680b990_test_tunable_params_schemas_py.html
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+            created at 2024-08-07 23:27 +0000
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+            created at 2024-08-07 23:27 +0000
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             &nbsp; &nbsp; &nbsp;
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+            created at 2024-08-07 23:27 +0000
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-            created at 2024-08-07 22:58 +0000
+            created at 2024-08-07 23:27 +0000
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--- a/htmlcov/z_8a1cf60827db5b83_authenticator_type_py.html
+++ b/htmlcov/z_8a1cf60827db5b83_authenticator_type_py.html
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             &nbsp; &nbsp; &nbsp;
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-            created at 2024-08-07 22:58 +0000
+            created at 2024-08-07 23:27 +0000
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@@ -133,7 +133,7 @@ <h2>
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-            created at 2024-08-07 22:58 +0000
+            created at 2024-08-07 23:27 +0000
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diff --git a/htmlcov/z_8a1cf60827db5b83_config_loader_type_py.html b/htmlcov/z_8a1cf60827db5b83_config_loader_type_py.html
index bc77aa8693d..af8358de722 100644
--- a/htmlcov/z_8a1cf60827db5b83_config_loader_type_py.html
+++ b/htmlcov/z_8a1cf60827db5b83_config_loader_type_py.html
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             <a id="nextFileLink" class="nav" href="z_8a1cf60827db5b83_fileshare_type_py.html">&#xbb; next</a>
             &nbsp; &nbsp; &nbsp;
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-            created at 2024-08-07 22:58 +0000
+            created at 2024-08-07 23:27 +0000
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@@ -253,7 +253,7 @@ <h2>
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             <a class="nav" href="https://coverage.readthedocs.io/en/7.6.1">coverage.py v7.6.1</a>,
-            created at 2024-08-07 22:58 +0000
+            created at 2024-08-07 23:27 +0000
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diff --git a/htmlcov/z_8a1cf60827db5b83_fileshare_type_py.html b/htmlcov/z_8a1cf60827db5b83_fileshare_type_py.html
index 1f742cf48a5..1bf44b2f8f8 100644
--- a/htmlcov/z_8a1cf60827db5b83_fileshare_type_py.html
+++ b/htmlcov/z_8a1cf60827db5b83_fileshare_type_py.html
@@ -65,7 +65,7 @@ <h2>
             <a id="nextFileLink" class="nav" href="z_8a1cf60827db5b83_host_ops_type_py.html">&#xbb; next</a>
             &nbsp; &nbsp; &nbsp;
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+            created at 2024-08-07 23:27 +0000
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@@ -148,7 +148,7 @@ <h2>
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-            created at 2024-08-07 22:58 +0000
+            created at 2024-08-07 23:27 +0000
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diff --git a/htmlcov/z_8a1cf60827db5b83_host_ops_type_py.html b/htmlcov/z_8a1cf60827db5b83_host_ops_type_py.html
index f2f55886010..1cb53c06e8d 100644
--- a/htmlcov/z_8a1cf60827db5b83_host_ops_type_py.html
+++ b/htmlcov/z_8a1cf60827db5b83_host_ops_type_py.html
@@ -65,7 +65,7 @@ <h2>
             <a id="nextFileLink" class="nav" href="z_8a1cf60827db5b83_host_provisioner_type_py.html">&#xbb; next</a>
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-            created at 2024-08-07 22:58 +0000
+            created at 2024-08-07 23:27 +0000
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@@ -176,7 +176,7 @@ <h2>
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-            created at 2024-08-07 22:58 +0000
+            created at 2024-08-07 23:27 +0000
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diff --git a/htmlcov/z_8a1cf60827db5b83_host_provisioner_type_py.html b/htmlcov/z_8a1cf60827db5b83_host_provisioner_type_py.html
index 29a8c97a94e..4cdee6ecf1e 100644
--- a/htmlcov/z_8a1cf60827db5b83_host_provisioner_type_py.html
+++ b/htmlcov/z_8a1cf60827db5b83_host_provisioner_type_py.html
@@ -65,7 +65,7 @@ <h2>
             <a id="nextFileLink" class="nav" href="z_8a1cf60827db5b83_local_exec_type_py.html">&#xbb; next</a>
             &nbsp; &nbsp; &nbsp;
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-            created at 2024-08-07 22:58 +0000
+            created at 2024-08-07 23:27 +0000
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+            created at 2024-08-07 23:27 +0000
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diff --git a/htmlcov/z_8a1cf60827db5b83_local_exec_type_py.html b/htmlcov/z_8a1cf60827db5b83_local_exec_type_py.html
index 7f518e2fca8..d7e03d61f56 100644
--- a/htmlcov/z_8a1cf60827db5b83_local_exec_type_py.html
+++ b/htmlcov/z_8a1cf60827db5b83_local_exec_type_py.html
@@ -65,7 +65,7 @@ <h2>
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+            created at 2024-08-07 23:27 +0000
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+            created at 2024-08-07 23:27 +0000
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diff --git a/htmlcov/z_8a1cf60827db5b83_network_provisioner_type_py.html b/htmlcov/z_8a1cf60827db5b83_network_provisioner_type_py.html
index 783e7056439..8741bb44439 100644
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+++ b/htmlcov/z_8a1cf60827db5b83_network_provisioner_type_py.html
@@ -65,7 +65,7 @@ <h2>
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+            created at 2024-08-07 23:27 +0000
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+            created at 2024-08-07 23:27 +0000
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+            created at 2024-08-07 23:27 +0000
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+            created at 2024-08-07 23:27 +0000
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+            created at 2024-08-07 23:27 +0000
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+            created at 2024-08-07 23:27 +0000
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diff --git a/htmlcov/z_8a1cf60827db5b83_remote_exec_type_py.html b/htmlcov/z_8a1cf60827db5b83_remote_exec_type_py.html
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-            created at 2024-08-07 22:58 +0000
+            created at 2024-08-07 23:27 +0000
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+            created at 2024-08-07 23:27 +0000
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diff --git a/htmlcov/z_8bda1461cdfcd6c7___init___py.html b/htmlcov/z_8bda1461cdfcd6c7___init___py.html
index ebff2207a94..7625d101dbc 100644
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-            created at 2024-08-07 22:58 +0000
+            created at 2024-08-07 23:27 +0000
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"around": [54, 163, 166], "arrai": 41, "arriv": [44, 50, 55, 60, 134], "ascend": [93, 98, 113, 150], "assess": 111, "assign": [0, 85, 86, 87, 88, 142, 143], "associ": [70, 89, 137], "assum": 164, "async": 54, "asynchron": [44, 50, 51, 53, 55, 65, 134], "asyncio": 21, "asyncremoteexecresultsfutur": [51, 53], "asyncresultsurl": [44, 50, 55, 59, 63, 65, 66, 134], "asyncssh": 54, "attempt": [67, 69, 75, 89, 135], "attribut": [3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 26, 27, 28, 29, 30, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 67, 68, 69, 70, 71, 72, 73, 75, 76, 78, 79, 80, 81, 82, 85, 86, 87, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 116, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 142, 147, 148, 149, 150, 151, 155, 156, 157], "augment": [32, 89, 111], "augment_results_df_with_config_trial_group_stat": [110, 111, 115], "authent": [55, 56], "authenticator_typ": [36, 55], "author": [44, 45, 55, 56], "auto": [110, 115, 159], "autom": [0, 110, 161, 163, 164, 165], "automat": [32, 111, 164, 165, 166], "automl": [93, 96, 97, 149], "autotun": [0, 23, 32, 67, 73, 161, 163, 164], "auxiliari": 25, "avail": [32, 36, 38, 130, 162, 163, 164, 165, 166], "aw": 164, "awai": 164, "awar": 165, "az": 164, "azur": [15, 36, 38, 43, 66, 130, 163], "azure_auth": [43, 44], "azure_deployment_servic": [43, 44], "azure_fileshar": [43, 44], "azure_network_servic": [43, 44], "azure_saa": [43, 44], "azure_vm_servic": [43, 44], "azureauthservic": [36, 43, 44, 45], "azuredeploymentservic": [43, 44, 46, 48, 50], "azurefileshareservic": [36, 43, 44, 47], "azurenetworkservic": [36, 43, 44, 48], "azuresaasconfigservic": [36, 43, 44, 49], "azurevmservic": [36, 38, 43, 44, 50, 130], "backend": [67, 73, 78, 79, 89, 140, 163], "background": 21, "bar": 31, "base": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 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"basetypevar": 89, "basic": [92, 93, 94, 98, 101, 102, 150, 155, 164, 166], "bayesian": [93, 94, 95, 96, 99, 147, 148, 151, 163, 165], "bayesian_optim": [92, 93, 146], "bayesianoptim": 163, "becaus": 25, "becom": 163, "been": [23, 24, 26, 27, 30, 85, 86, 88, 93, 94, 96, 97, 98, 99, 126, 128, 143, 148, 149, 150, 151], "befor": [5, 6, 32, 36, 38, 67, 69, 75, 93, 98, 111, 117, 130, 135, 150, 164], "behavior": [55, 118, 164], "being": [5, 7, 23, 24, 26, 27, 30, 44, 48, 50, 55, 60, 62, 66, 116, 126, 128, 134], "belong": [70, 80, 85, 88, 101, 102, 103, 104, 137, 143, 155, 156, 157], "below": [161, 164], "bench": [2, 3, 161, 165], "benchmark": [0, 5, 6, 7, 8, 9, 10, 11, 12, 16, 19, 20, 22, 23, 24, 26, 27, 28, 30, 32, 39, 44, 55, 57, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 78, 79, 80, 81, 82, 89, 110, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 131, 134, 135, 136, 137, 138, 139, 140, 161, 163, 165, 166], "benchmark_statu": [5, 6, 7, 8, 9, 10, 116, 117, 120, 121], "best": [23, 24, 27, 30, 33, 34, 93, 98, 111, 126, 128, 150], "beta": [85, 87, 142], "better": [163, 164], "between": [23, 24, 25, 67, 68, 69, 76, 128, 135, 136], "bia": [101, 104, 157], "bo": 163, "bool": [4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20, 23, 24, 25, 26, 27, 28, 29, 33, 34, 36, 37, 44, 47, 48, 50, 51, 52, 53, 55, 58, 59, 60, 62, 63, 66, 67, 69, 75, 85, 86, 87, 88, 89, 93, 94, 96, 98, 101, 104, 110, 111, 113, 116, 117, 119, 120, 121, 122, 123, 124, 126, 127, 128, 129, 133, 134, 135, 142, 143, 148, 150, 157, 160], "boolean": [44, 48, 49, 55, 62, 64], "boot": [12, 15, 59, 123], "bootstrap": 148, "both": [74, 163, 164], "bound": 165, "boundari": [2, 3, 5, 20, 52, 93, 110, 119, 146, 154, 159], "brief": 163, "browser": 163, "budget": 163, "build": [36, 38, 39, 55, 57, 130, 131], "build_environ": [36, 39, 55, 57, 131], "build_optim": [36, 39, 131], "build_schedul": [36, 39, 131], "build_servic": [36, 39, 131], "build_storag": [36, 39, 131], "builtin_config_path": [36, 39, 131], "bulk": [23, 24, 26, 27, 28, 85, 87, 126, 127, 128, 142], "bulk_regist": [0, 23, 24, 26, 27, 28, 126, 127, 128, 148], "bundl": [39, 55, 57, 131], "cach": 54, "call": [5, 6, 7, 21, 33, 34, 36, 38, 44, 45, 54, 55, 56, 72, 82, 101, 102, 103, 104, 116, 117, 130, 139, 149, 155, 156, 157], "callabl": [36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 89, 129, 130, 131, 132, 133, 134], "caller": [21, 36, 38, 54, 130], "can": [5, 12, 16, 21, 25, 32, 36, 38, 39, 40, 41, 44, 50, 55, 57, 60, 61, 67, 68, 69, 72, 76, 82, 85, 87, 89, 93, 94, 96, 97, 98, 99, 111, 124, 129, 130, 131, 132, 133, 134, 135, 136, 139, 142, 148, 149, 150, 151, 163, 164, 165], "cancel": [0, 5, 20, 119], "candid": 165, "capabl": 163, "cardin": [0, 85, 87, 142], "case": [85, 88, 89, 143], "categor": [85, 87, 142], "categori": [0, 85, 87, 142], "caus": [44, 50, 54, 55, 60, 134], "certain": [46, 84, 163], "chain": [85, 88, 143], "chang": [32, 54, 68, 76, 86, 136, 164], "charact": [25, 41], "characterist": 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117, 129, 130, 131, 133], "classmethod": [5, 6, 36, 38, 54, 117, 130], "claus": [42, 55, 61], "clean": [5, 8, 9, 12, 15, 16, 21, 107, 120, 123, 124, 164], "cleanli": 54, "cleanup": [51, 54, 92, 93, 94, 96, 98, 148, 150], "clear": [54, 85, 86, 88, 143], "clear_client_cach": [51, 54], "cli": [1, 2, 3, 32, 44, 45, 163], "client": [54, 89], "close": 54, "cloud": [12, 17, 55, 56, 64, 164], "cmd": 89, "cmdline": 41, "code": [36, 40, 41, 55, 61, 132, 162, 163, 164, 165], "codespac": 163, "collect": [5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 23, 24, 25, 36, 39, 40, 41, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 61, 85, 86, 88, 89, 116, 117, 118, 120, 121, 122, 123, 124, 125, 128, 131, 132, 143, 163, 164], "column": [68, 70, 71, 72, 76, 81, 82, 84, 89, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 111, 113, 136, 137, 138, 139, 147, 148, 149, 150, 151, 155, 156, 157], "com": [32, 163, 164], "combin": [39, 67, 69, 131, 135, 163], "come": [44, 50, 51, 53, 55, 65, 134, 164], "command": [22, 32, 36, 40, 41, 43, 44, 50, 51, 53, 54, 55, 61, 65, 132, 134, 162, 164], "commandlin": 41, "comment": 54, "commit": 89, "common": [67, 73, 113, 164], "compar": 86, "comparison": [93, 99, 151, 165], "compat": [67, 69, 75, 135], "complet": [5, 6, 7, 8, 9, 10, 11, 12, 16, 21, 33, 34, 67, 69, 75, 116, 117, 118, 120, 121, 124, 135, 163, 164], "complic": [36, 40, 41, 55, 61, 132], "compon": [22, 89, 163, 164], "compos": [85, 88, 143], "composit": [5, 6, 7, 116, 117], "composite_env": [0, 5], "compositeenv": [0, 5, 7, 39, 55, 57, 91, 131], "compositeenviron": [85, 88, 143], "comput": [44, 50, 55, 60, 66, 134], "concret": [93, 144, 152], "concreteoptim": [93, 144], "concretespaceadapt": 152, "condit": [33, 34, 107], "config": [0, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 64, 65, 67, 68, 69, 70, 71, 72, 73, 75, 76, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 89, 91, 93, 94, 95, 96, 97, 98, 99, 107, 111, 116, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 147, 148, 149, 150, 151, 162, 163], "config_column_prefix": [67, 68, 136], "config_df": [67, 71, 73, 81, 138], "config_dict": [67, 71, 81, 138], "config_fil": [67, 83, 141, 164], "config_id": [33, 34, 67, 69, 72, 75, 79, 80, 82, 135, 139], "config_load": [0, 22], "config_loader_servic": [0, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 129, 130, 131, 132, 133, 134], "config_loader_typ": [36, 55], "config_path": [32, 36, 39, 131, 164], "config_persist": [0, 36], "config_schema": [1, 2], "config_spac": [0, 23, 24, 26, 27, 28, 29, 30, 106, 107, 126, 127, 128, 158], "config_to_datafram": [92, 107, 109], "configpersistenceservic": [0, 22, 36, 39], "configschema": [0, 1, 2, 3, 39, 55, 57, 131], "configspac": [23, 24, 25, 93, 99, 101, 102, 103, 106, 107, 128, 144, 147, 148, 149, 150, 151, 152, 155, 156, 157, 158], "configspace_data_to_tunable_valu": [0, 23, 25], "configspace_to_flaml_spac": [100, 105, 106], "configur": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 29, 30, 32, 33, 34, 36, 38, 39, 43, 44, 48, 49, 50, 55, 57, 60, 62, 64, 66, 67, 68, 69, 70, 71, 72, 73, 76, 78, 79, 80, 81, 82, 83, 89, 93, 94, 95, 96, 98, 101, 102, 103, 104, 106, 107, 116, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 133, 134, 135, 136, 137, 138, 139, 140, 141, 144, 147, 148, 150, 152, 155, 156, 157, 158, 163, 165], "configurationspac": [23, 24, 25, 26, 27, 28, 29, 30, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 106, 107, 126, 127, 128, 144, 147, 148, 149, 150, 151, 152, 155, 156, 157, 158], "conn": 54, "connect": [36, 37, 44, 47, 51, 52, 54, 55, 58, 129, 133, 164], "connect_param": 54, "connection_id": 54, "connection_lost": [51, 54], "connection_mad": [51, 54], "consid": [89, 164, 165], "consist": [67, 69, 85, 88, 135, 143, 165], "const_arg": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 39, 44, 50, 51, 53, 55, 57, 65, 116, 117, 118, 120, 121, 122, 123, 124, 125, 131, 134, 164], "constant": 86, "constitut": 164, "constraint": [163, 165], "constructor": [5, 6, 23, 24, 27, 36, 38, 39, 55, 57, 89, 93, 117, 126, 128, 129, 130, 131, 133, 144, 152], "consum": 163, "contain": [5, 6, 32, 36, 38, 39, 41, 55, 56, 57, 67, 69, 79, 85, 88, 95, 96, 97, 98, 99, 101, 102, 103, 104, 106, 107, 116, 117, 118, 120, 121, 122, 123, 124, 125, 129, 130, 131, 132, 133, 134, 135, 143, 155, 156, 157, 164, 165], "content": [36, 37, 44, 47, 51, 52, 55, 58, 129, 133, 161], "context": [21, 33, 34, 42, 54, 55, 61, 71, 81, 93, 94, 95, 96, 97, 98, 99, 138, 147, 148, 149, 150, 151, 163], "contribut": 161, "control": [148, 149, 164], "converg": [23, 24, 26, 33, 34, 128, 163], "convers": [44, 50, 51, 53, 55, 65, 85, 87, 134, 142], "convert": [25, 84, 89, 92, 100, 107], "convert_configspac": [0, 23], "copi": [0, 52, 67, 69, 85, 86, 87, 88, 135, 142, 143, 164], "copymod": [43, 51, 52], "core": [161, 164, 166], "coro": 21, "cororeturntyp": 21, "coroutin": 21, "correl": 165, "correspond": [23, 24, 25, 26, 27, 28, 30, 70, 71, 80, 81, 89, 126, 127, 128, 137, 138, 164], "cost": [85, 86, 149, 164, 165], "could": [5, 8, 9, 10, 120, 121], "count": [23, 24, 26, 27, 32, 54, 126, 128, 164], "covari": [5, 6, 23, 24, 85, 86, 88, 117, 128, 143], "covariant_group": [0, 85], "covarianttunablegroup": [0, 85, 86, 88, 143], "cpu": 165, "creat": [12, 14, 36, 40, 41, 42, 55, 61, 67, 69, 73, 77, 78, 83, 85, 88, 92, 93, 116, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 140, 141, 142, 143, 144, 147, 149, 150, 151, 152, 157, 163], "create_connect": 54, "credenti": [5, 6, 44, 45, 55, 56, 116, 117, 118, 120, 121, 122, 123, 124, 125, 163], "cs_config": 107, "curat": 165, "current": [5, 6, 7, 8, 9, 10, 23, 24, 25, 26, 27, 28, 29, 30, 67, 68, 69, 75, 76, 79, 85, 86, 87, 88, 89, 116, 117, 120, 121, 126, 127, 128, 135, 136, 142, 143, 163, 165], "current_iter": [0, 23, 24, 26, 27, 28, 29, 30, 126, 127, 128], "cutoff": 111, "cwd": [36, 40, 41, 55, 61, 132], "d": 107, "dabl": [110, 115, 159, 160, 166], "data": [5, 8, 10, 11, 23, 24, 25, 26, 27, 28, 29, 30, 36, 40, 41, 55, 61, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 78, 79, 80, 81, 82, 85, 87, 89, 110, 111, 112, 113, 118, 121, 126, 127, 128, 132, 135, 136, 137, 138, 139, 140, 142, 148, 160, 163, 164], "databas": [78, 79, 163, 164], "database_password": 164, "datafram": [23, 24, 26, 27, 30, 68, 70, 71, 72, 74, 76, 80, 81, 82, 84, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 107, 110, 111, 112, 113, 126, 128, 136, 137, 138, 139, 147, 148, 149, 150, 151, 155, 156, 157, 160], "date": 163, "datetim": [5, 6, 7, 8, 9, 10, 11, 12, 16, 67, 69, 70, 75, 79, 80, 89, 116, 117, 118, 120, 121, 124, 135, 137], "datetime_col": 89, "datetime_pars": [0, 89, 91], "db": [44, 49, 76, 77, 80, 81, 82], "dbschema": [67, 73, 74, 75, 76, 77, 79, 80, 81, 82], 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\ No newline at end of file
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160], "argv": 22, "arm": 164, "around": [54, 163, 166], "arrai": 41, "arriv": [44, 50, 55, 60, 134], "ascend": [93, 98, 113, 150], "assess": 111, "assign": [0, 85, 86, 87, 88, 142, 143], "associ": [70, 89, 93, 98, 137, 150], "assum": 164, "async": 54, "asynchron": [44, 50, 51, 53, 55, 65, 134], "asyncio": 21, "asyncremoteexecresultsfutur": [51, 53], "asyncresultsurl": [44, 50, 55, 59, 63, 65, 66, 134], "asyncssh": 54, "attempt": [67, 69, 75, 89, 135], "attribut": [3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 26, 27, 28, 29, 30, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 67, 68, 69, 70, 71, 72, 73, 75, 76, 78, 79, 80, 81, 82, 85, 86, 87, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 116, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 142, 147, 148, 149, 150, 151, 155, 156, 157], "augment": [32, 89, 111], 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"background": 21, "bar": 31, "base": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 82, 85, 86, 87, 88, 89, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 110, 115, 117, 126, 128, 129, 130, 135, 136, 137, 138, 139, 147, 148, 150, 151, 164], "base_class": 89, "base_environ": [0, 5], "base_experiment_data": [0, 67], "base_fileshar": [0, 36], "base_optim": [0, 23], "base_schedul": [0, 33], "base_servic": [0, 36], "base_storag": [0, 67], "base_supported_config_prop": [0, 23, 24, 128], "base_trial_data": [0, 67], "base_tunable_config_data": [0, 67], "base_tunable_config_trial_group_data": [0, 67], "basebayesianoptim": [92, 93, 94, 95, 96], "baselin": [93, 99, 151, 165], "baseoptim": [92, 93, 94, 95, 97, 98, 99, 101, 102, 103, 104, 109, 144, 155, 156, 157], "basespaceadapt": [93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 147, 148, 149, 150, 151, 152, 156, 157], "basetypevar": 89, "basic": [92, 93, 94, 98, 101, 102, 150, 155, 164, 166], "bayesian": [93, 94, 95, 96, 99, 147, 148, 151, 163, 165], "bayesian_optim": [92, 93, 146], "bayesianoptim": 163, "becaus": 25, "becom": 163, "been": [23, 24, 26, 27, 30, 85, 86, 88, 93, 94, 96, 97, 98, 99, 126, 128, 143, 148, 149, 150, 151], "befor": [5, 6, 32, 36, 38, 67, 69, 75, 93, 98, 111, 117, 130, 135, 150, 164], "behavior": [55, 118, 164], "being": [5, 7, 23, 24, 26, 27, 30, 44, 48, 50, 55, 60, 62, 66, 116, 126, 128, 134], "belong": [70, 80, 85, 88, 101, 102, 103, 104, 137, 143, 155, 156, 157], "below": [161, 164], "bench": [2, 3, 161, 165], "benchmark": [0, 5, 6, 7, 8, 9, 10, 11, 12, 16, 19, 20, 22, 23, 24, 26, 27, 28, 30, 32, 39, 44, 55, 57, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 78, 79, 80, 81, 82, 89, 110, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 131, 134, 135, 136, 137, 138, 139, 140, 161, 163, 165, 166], "benchmark_statu": [5, 6, 7, 8, 9, 10, 116, 117, 120, 121], "best": [23, 24, 27, 30, 33, 34, 93, 98, 111, 126, 128, 150], "beta": [85, 87, 142], "better": [163, 164], "between": [23, 24, 25, 67, 68, 69, 76, 128, 135, 136], "bia": [101, 104, 157], "bo": 163, "bool": [4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20, 23, 24, 25, 26, 27, 28, 29, 33, 34, 36, 37, 44, 47, 48, 50, 51, 52, 53, 55, 58, 59, 60, 62, 63, 66, 67, 69, 75, 85, 86, 87, 88, 89, 93, 94, 96, 98, 101, 104, 110, 111, 113, 116, 117, 119, 120, 121, 122, 123, 124, 126, 127, 128, 129, 133, 134, 135, 142, 143, 148, 150, 157, 160], "boolean": [44, 48, 49, 55, 62, 64], "boot": [12, 15, 59, 123], "bootstrap": 148, "both": [74, 163, 164], "bound": 165, "boundari": [2, 3, 5, 20, 52, 93, 110, 119, 146, 154, 159], "brief": 163, "browser": 163, "budget": 163, "build": [36, 38, 39, 55, 57, 130, 131], "build_environ": [36, 39, 55, 57, 131], "build_optim": [36, 39, 131], "build_schedul": [36, 39, 131], "build_servic": [36, 39, 131], "build_storag": [36, 39, 131], "builtin_config_path": [36, 39, 131], "bulk": [23, 24, 26, 27, 28, 85, 87, 126, 127, 128, 142], "bulk_regist": [0, 23, 24, 26, 27, 28, 126, 127, 128, 148], "bundl": [39, 55, 57, 131], "cach": 54, "call": [5, 6, 7, 21, 33, 34, 36, 38, 44, 45, 54, 55, 56, 72, 82, 101, 102, 103, 104, 116, 117, 130, 139, 149, 155, 156, 157], "callabl": [36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 89, 129, 130, 131, 132, 133, 134], "caller": [21, 36, 38, 54, 130], "can": [5, 12, 16, 21, 25, 32, 36, 38, 39, 40, 41, 44, 50, 55, 57, 60, 61, 67, 68, 69, 72, 76, 82, 85, 87, 89, 93, 94, 96, 97, 98, 99, 111, 124, 129, 130, 131, 132, 133, 134, 135, 136, 139, 142, 148, 149, 150, 151, 163, 164, 165], "cancel": [0, 5, 20, 119], "candid": 165, "capabl": 163, "cardin": [0, 85, 87, 142], "case": [85, 88, 89, 143], "categor": [85, 87, 142], "categori": [0, 85, 87, 142], "caus": [44, 50, 54, 55, 60, 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144, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 159, 162], "class_config": [39, 89, 131], "class_nam": [5, 6, 36, 38, 39, 89, 117, 129, 130, 131, 133], "classmethod": [5, 6, 36, 38, 54, 117, 130], "claus": [42, 55, 61], "clean": [5, 8, 9, 12, 15, 16, 21, 107, 120, 123, 124, 164], "cleanli": 54, "cleanup": [51, 54, 92, 93, 94, 96, 98, 148, 150], "clear": [54, 85, 86, 88, 143], "clear_client_cach": [51, 54], "cli": [1, 2, 3, 32, 44, 45, 163], "client": [54, 89], "close": 54, "cloud": [12, 17, 55, 56, 64, 164], "cmd": 89, "cmdline": 41, "code": [36, 40, 41, 55, 61, 132, 162, 163, 164, 165], "codespac": 163, "collect": [5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 23, 24, 25, 36, 39, 40, 41, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 61, 85, 86, 88, 89, 116, 117, 118, 120, 121, 122, 123, 124, 125, 128, 131, 132, 143, 163, 164], "column": [68, 70, 71, 72, 76, 81, 82, 84, 89, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 111, 113, 136, 137, 138, 139, 147, 148, 149, 150, 151, 155, 156, 157], "com": [32, 163, 164], "combin": [39, 67, 69, 131, 135, 163], "come": [44, 50, 51, 53, 55, 65, 134, 164], "command": [22, 32, 36, 40, 41, 43, 44, 50, 51, 53, 54, 55, 61, 65, 132, 134, 162, 164], "commandlin": 41, "comment": 54, "commit": 89, "common": [67, 73, 113, 164], "compar": 86, "comparison": [93, 99, 151, 165], "compat": [67, 69, 75, 135], "complet": [5, 6, 7, 8, 9, 10, 11, 12, 16, 21, 33, 34, 67, 69, 75, 116, 117, 118, 120, 121, 124, 135, 163, 164], "complic": [36, 40, 41, 55, 61, 132], "compon": [22, 89, 163, 164], "compos": [85, 88, 143], "composit": [5, 6, 7, 116, 117], "composite_env": [0, 5], "compositeenv": [0, 5, 7, 39, 55, 57, 91, 131], "compositeenviron": [85, 88, 143], "comput": [44, 50, 55, 60, 66, 134], "concret": [93, 144, 152], "concreteoptim": [93, 144], "concretespaceadapt": 152, "condit": [33, 34, 107], "config": [0, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 64, 65, 67, 68, 69, 70, 71, 72, 73, 75, 76, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 89, 91, 93, 94, 95, 96, 97, 98, 99, 107, 111, 116, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 147, 148, 149, 150, 151, 162, 163], "config_column_prefix": [67, 68, 136], "config_df": [67, 71, 73, 81, 138], "config_dict": [67, 71, 81, 138], "config_fil": [67, 83, 141, 164], "config_id": [33, 34, 67, 69, 72, 75, 79, 80, 82, 135, 139], "config_load": [0, 22], "config_loader_servic": [0, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 129, 130, 131, 132, 133, 134], "config_loader_typ": [36, 55], "config_path": [32, 36, 39, 131, 164], "config_persist": [0, 36], "config_schema": [1, 2], "config_spac": [0, 23, 24, 26, 27, 28, 29, 30, 106, 107, 126, 127, 128, 158], "config_to_datafram": [92, 107, 109], "configpersistenceservic": [0, 22, 36, 39], "configschema": [0, 1, 2, 3, 39, 55, 57, 131], "configspac": [23, 24, 25, 93, 99, 101, 102, 103, 106, 107, 128, 144, 147, 148, 149, 150, 151, 152, 155, 156, 157, 158], "configspace_data_to_tunable_valu": [0, 23, 25], "configspace_to_flaml_spac": [100, 105, 106], "configur": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 29, 30, 32, 33, 34, 36, 38, 39, 43, 44, 48, 49, 50, 55, 57, 60, 62, 64, 66, 67, 68, 69, 70, 71, 72, 73, 76, 78, 79, 80, 81, 82, 83, 89, 93, 94, 95, 96, 98, 101, 102, 103, 104, 106, 107, 116, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 133, 134, 135, 136, 137, 138, 139, 140, 141, 144, 147, 148, 150, 152, 155, 156, 157, 158, 163, 165], "configurationspac": [23, 24, 25, 26, 27, 28, 29, 30, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 106, 107, 126, 127, 128, 144, 147, 148, 149, 150, 151, 152, 155, 156, 157, 158], "conn": 54, "connect": [36, 37, 44, 47, 51, 52, 54, 55, 58, 129, 133, 164], "connect_param": 54, "connection_id": 54, "connection_lost": [51, 54], "connection_mad": [51, 54], "consid": [89, 164, 165], "consist": [67, 69, 85, 88, 135, 143, 165], "const_arg": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 39, 44, 50, 51, 53, 55, 57, 65, 116, 117, 118, 120, 121, 122, 123, 124, 125, 131, 134, 164], "constant": 86, "constitut": 164, "constraint": [163, 165], "constructor": [5, 6, 23, 24, 27, 36, 38, 39, 55, 57, 89, 93, 117, 126, 128, 129, 130, 131, 133, 144, 152], "consum": 163, "contain": [5, 6, 32, 36, 38, 39, 41, 55, 56, 57, 67, 69, 79, 85, 88, 95, 96, 97, 98, 99, 101, 102, 103, 104, 106, 107, 116, 117, 118, 120, 121, 122, 123, 124, 125, 129, 130, 131, 132, 133, 134, 135, 143, 155, 156, 157, 164, 165], "content": [36, 37, 44, 47, 51, 52, 55, 58, 129, 133, 161], "context": [21, 33, 34, 42, 54, 55, 61, 71, 81, 93, 94, 95, 96, 97, 98, 99, 138, 147, 148, 149, 150, 151, 163], "contribut": 161, "control": [148, 149, 164], "converg": [23, 24, 26, 33, 34, 128, 163], "convers": [44, 50, 51, 53, 55, 65, 85, 87, 134, 142], "convert": [25, 84, 89, 92, 100, 107], "convert_configspac": [0, 23], "copi": [0, 52, 67, 69, 85, 86, 87, 88, 135, 142, 143, 164], "copymod": [43, 51, 52], "core": [161, 164, 166], "coro": 21, "cororeturntyp": 21, "coroutin": 21, "correl": 165, "correspond": [23, 24, 25, 26, 27, 28, 30, 70, 71, 80, 81, 89, 126, 127, 128, 137, 138, 164], "cost": [85, 86, 149, 164, 165], "could": [5, 8, 9, 10, 120, 121], "count": [23, 24, 26, 27, 32, 54, 126, 128, 164], "covari": [5, 6, 23, 24, 85, 86, 88, 117, 128, 143], "covariant_group": [0, 85], "covarianttunablegroup": [0, 85, 86, 88, 143], "cpu": 165, "creat": [12, 14, 36, 40, 41, 42, 55, 61, 67, 69, 73, 77, 78, 83, 85, 88, 92, 93, 116, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 140, 141, 142, 143, 144, 147, 149, 150, 151, 152, 157, 163], "create_connect": 54, "credenti": [5, 6, 44, 45, 55, 56, 116, 117, 118, 120, 121, 122, 123, 124, 125, 163], "cs_config": 107, "curat": 165, "current": [5, 6, 7, 8, 9, 10, 23, 24, 25, 26, 27, 28, 29, 30, 67, 68, 69, 75, 76, 79, 85, 86, 87, 88, 89, 116, 117, 120, 121, 126, 127, 128, 135, 136, 142, 143, 163, 165], "current_iter": [0, 23, 24, 26, 27, 28, 29, 30, 126, 127, 128], "cutoff": 111, "cwd": [36, 40, 41, 55, 61, 132], "d": 107, "dabl": [110, 115, 159, 160, 166], "data": [5, 8, 10, 11, 23, 24, 25, 26, 27, 28, 29, 30, 36, 40, 41, 55, 61, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 78, 79, 80, 81, 82, 85, 87, 89, 110, 111, 112, 113, 118, 121, 126, 127, 128, 132, 135, 136, 137, 138, 139, 140, 142, 148, 160, 163, 164], "databas": [78, 79, 163, 164], "database_password": 164, "datafram": [23, 24, 26, 27, 30, 68, 70, 71, 72, 74, 76, 80, 81, 82, 84, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 107, 110, 111, 112, 113, 126, 128, 136, 137, 138, 139, 147, 148, 149, 150, 151, 155, 156, 157, 160], "date": 163, "datetim": [5, 6, 7, 8, 9, 10, 11, 12, 16, 67, 69, 70, 75, 79, 80, 89, 116, 117, 118, 120, 121, 124, 135, 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123, "overview": [161, 162, 163], "packag": [0, 1, 2, 5, 8, 12, 23, 33, 36, 40, 43, 44, 51, 55, 67, 73, 85, 92, 93, 94, 100, 101, 105, 110, 162], "paramet": [162, 164], "plot": 160, "quickstart": 164, "random_optim": [99, 151], "randomoptim": 151, "refer": 161, "remot": [12, 13, 14, 15, 16, 17, 18, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 122, 123, 124, 125, 133, 134, 162], "remote_config_typ": 64, "remote_env": 16, "remote_exec_typ": 65, "remoteenv": 124, "resourc": 164, "result": 164, "resum": 164, "run": [32, 164], "runtim": 162, "saas_env": 17, "schedul": [33, 34, 35], "schema": [2, 3, 77], "script_env": 19, "see": 163, "servic": [36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 129, 130, 131, 132, 133, 134, 162], "setup": 164, "smac_optim": 96, "smacoptim": 148, "sourc": 161, "space": [100, 101, 102, 103, 104, 105, 106, 152, 153, 154, 155, 156, 157, 158, 162], "spaceadapterfactori": [152, 153], 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-        <script src="../../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../../_static/documentation_options.js?v=bdd03108"></script>
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         <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -37,7 +37,7 @@
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           </a>
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diff --git a/source_tree_docs/mlos_core/index.html b/source_tree_docs/mlos_core/index.html
index 56884c18320..7026fb5ea69 100644
--- a/source_tree_docs/mlos_core/index.html
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   <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos-core &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos-core &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=80d5e7a1" />
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       <link rel="stylesheet" type="text/css" href="../../_static/plot_directive.css" />
@@ -14,7 +14,7 @@
     <script src="../../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../../_static/documentation_options.js?v=bdd03108"></script>
         <script src="../../_static/doctools.js?v=9a2dae69"></script>
         <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
+                0.6.1.dev17+ga4d21cd5e
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diff --git a/source_tree_docs/mlos_viz/index.html b/source_tree_docs/mlos_viz/index.html
index 7c2be526cfb..c160c5bfa74 100644
--- a/source_tree_docs/mlos_viz/index.html
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   <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>mlos_viz &mdash; MLOS 0.6.1.dev16+g5d980561e documentation</title>
+  <title>mlos_viz &mdash; MLOS 0.6.1.dev17+ga4d21cd5e documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=80d5e7a1" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=19f00094" />
       <link rel="stylesheet" type="text/css" href="../../_static/plot_directive.css" />
@@ -14,7 +14,7 @@
     <script src="../../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="../../_static/documentation_options.js?v=7408df72"></script>
+        <script src="../../_static/documentation_options.js?v=bdd03108"></script>
         <script src="../../_static/doctools.js?v=9a2dae69"></script>
         <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
         <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
@@ -37,7 +37,7 @@
             MLOS
           </a>
               <div class="version">
-                0.6.1.dev16+g5d980561e
+                0.6.1.dev17+ga4d21cd5e
               </div>
 <div role="search">
   <form id="rtd-search-form" class="wy-form" action="../../search.html" method="get">