From 3284347d6859d75ad036cf390f4c8c899d7423e0 Mon Sep 17 00:00:00 2001
From: kohlhaasrebecca <rebecca.kohlhaas@outlook.com>
Date: Fri, 7 Jun 2024 10:10:27 +0200
Subject: [PATCH] Added to user guide-surrogate

---
 docs/build/doctrees/environment.pickle        |  Bin 3067803 -> 3070491 bytes
 docs/build/doctrees/index.doctree             |  Bin 12147 -> 12519 bytes
 .../doctrees/surrogate_description.doctree    |  Bin 20584 -> 21798 bytes
 docs/build/html/_sources/index.rst.txt        |    4 +
 .../_sources/surrogate_description.rst.txt    |   18 +-
 docs/build/html/index.html                    |    5 +
 docs/build/html/searchindex.js                |    2 +-
 docs/build/html/surrogate_description.html    |    8 +
 docs/diagrams/.$Structure_BayesInf.drawio.bkp |  964 ---------------
 docs/diagrams/Structure_BayesInf.drawio       | 1038 -----------------
 docs/source/surrogate_description.rst         |   18 +-
 11 files changed, 46 insertions(+), 2011 deletions(-)
 delete mode 100644 docs/diagrams/.$Structure_BayesInf.drawio.bkp
 delete mode 100644 docs/diagrams/Structure_BayesInf.drawio

diff --git a/docs/build/doctrees/environment.pickle b/docs/build/doctrees/environment.pickle
index 2ac92cb0654c54086e353004bc7d91191ab1b71e..b2e0863886180fc1aa05b2007d0471193138f92b 100644
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diff --git a/docs/build/doctrees/index.doctree b/docs/build/doctrees/index.doctree
index d8a14b3bd17e9ae0beadb9c2ca656cb20a59f4d4..6274b03111a42b7f4e02e11ea170f4c14f510dd6 100644
GIT binary patch
delta 751
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diff --git a/docs/build/doctrees/surrogate_description.doctree b/docs/build/doctrees/surrogate_description.doctree
index dc30e72b8151e5358bb8a15ff692dc42dc2200a5..0c4941c5424b03f3bdb35a35f68fb22aa3e7b881 100644
GIT binary patch
delta 2575
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diff --git a/docs/build/html/_sources/index.rst.txt b/docs/build/html/_sources/index.rst.txt
index 48215bbbc..dd9bb06fb 100644
--- a/docs/build/html/_sources/index.rst.txt
+++ b/docs/build/html/_sources/index.rst.txt
@@ -53,6 +53,10 @@ Further contents
    examples
    api
    
+Contact
+-------
+#TODO Add options here
+   
    
 Indices and tables
 ==================
diff --git a/docs/build/html/_sources/surrogate_description.rst.txt b/docs/build/html/_sources/surrogate_description.rst.txt
index 3b32fbe2e..6cd7bcd29 100644
--- a/docs/build/html/_sources/surrogate_description.rst.txt
+++ b/docs/build/html/_sources/surrogate_description.rst.txt
@@ -31,11 +31,21 @@ This needs to be given three things: the metamodel itself, the model that the me
 The standard method of training the surrogate is performed by the function ``train_normal()``.
 Other available training methods in BayesValidRox are presented in :any:`al_description`.
 
-For training the engine performs three main steps.
+.. container:: twocol
 
-1) Generating training samples from the experimental design.
-2) Evaluating the model on the training samples.
-3) Fitting the surrogate to the training dataset.
+   .. container:: leftside
+   
+      For training the engine performs three main steps.
+
+      1) Generating training samples from the experimental design.
+      2) Evaluating the model on the training samples.
+      3) Fitting the surrogate to the training dataset.
+	  
+   .. container:: rightside
+   
+      .. image:: ../diagrams/engine_train_normal.png
+         :width: 800
+         :alt: Diagram of main steps in ``Engine.train_normal()``
 
 Example
 =======
diff --git a/docs/build/html/index.html b/docs/build/html/index.html
index 73eb5a839..9fd0f8c02 100644
--- a/docs/build/html/index.html
+++ b/docs/build/html/index.html
@@ -408,6 +408,10 @@ The functionality and options for the different classes is described more in-dep
 </ul>
 </div>
 </section>
+<section id="contact">
+<h2>Contact<a class="headerlink" href="#contact" title="Link to this heading">¶</a></h2>
+<p>#TODO Add options here</p>
+</section>
 </section>
 <section id="indices-and-tables">
 <h1>Indices and tables<a class="headerlink" href="#indices-and-tables" title="Link to this heading">¶</a></h1>
@@ -470,6 +474,7 @@ The functionality and options for the different classes is described more in-dep
 <li><a class="reference internal" href="#see-also">See also</a></li>
 <li><a class="reference internal" href="#license">License</a></li>
 <li><a class="reference internal" href="#further-contents">Further contents</a></li>
+<li><a class="reference internal" href="#contact">Contact</a></li>
 </ul>
 </li>
 <li><a class="reference internal" href="#indices-and-tables">Indices and tables</a></li>
diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js
index 76ddf2529..2c5216d90 100644
--- a/docs/build/html/searchindex.js
+++ b/docs/build/html/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"API": [[66, "api"]], "Active learning: iteratively expanding the training set": [[64, "active-learning-iteratively-expanding-the-training-set"]], "Arguments": [[29, "arguments"], [42, "arguments"], [42, "id2"]], "Attributes": [[3, "attributes"], [5, "attributes"], [7, "attributes"], [9, "attributes"], [13, "attributes"], [16, "attributes"], [25, "attributes"], [26, "attributes"], [39, "attributes"], [42, "attributes"], [47, "attributes"], [49, "attributes"], [50, "attributes"], [52, "attributes"], [55, "attributes"], [58, "attributes"], [60, "attributes"]], "Bayesian Inference": [[81, "bayesian-inference"]], "Bayesian inference and multi-model comparison": [[67, "bayesian-inference-and-multi-model-comparison"]], "Define probabilistic input model": [[81, "define-probabilistic-input-model"]], "Define surrogate (meta) model": [[81, "define-surrogate-meta-model"]], "Define the data uncertainty": [[81, "define-the-data-uncertainty"]], "Define the model with PyLinkForwardModel": [[81, "define-the-model-with-pylinkforwardmodel"]], "Discrepancy": [[65, "id3"], [68, "id3"]], "EXAMPLES": [[70, "examples"]], "Example": [[72, "example"], [74, "example"], [79, "example"], [80, "example"]], "Example: Analytical function": [[65, "example-analytical-function"]], "Example: OHagan-function": [[76, "example-ohagan-function"]], "Example: beam": [[68, "example-beam"]], "Example: borehole": [[69, "example-borehole"]], "Example: ishigami": [[73, "example-ishigami"]], "Example: model comparison": [[75, "example-model-comparison"]], "Example: pollution": [[78, "example-pollution"]], "Examples": [[49, "examples"]], "Further contents": [[71, "further-contents"]], "Import necessary libraries": [[81, "import-necessary-libraries"]], "Indices and tables": [[71, "indices-and-tables"]], "Installation": [[71, "installation"], [77, "installation"]], "License": [[71, "license"]], "Links": [[71, "links"]], "MetaModel and Engine classes": [[80, "metamodel-and-engine-classes"]], "MetaModel options": [[80, "metamodel-options"]], "MetaModel settings": [[65, "id4"], [68, "id4"], [69, "id3"], [73, "id3"], [75, "id7"], [76, "id3"], [78, "id3"]], "Model 1: L2_model": [[75, "model-1-l2-model"]], "Model 1: NL2_model": [[75, "model-1-nl2-model"]], "Model 1: NL4_model": [[75, "model-1-nl4-model"]], "Model and Data": [[65, "model-and-data"], [68, "model-and-data"], [69, "model-and-data"], [73, "model-and-data"], [76, "model-and-data"], [78, "model-and-data"]], "Models": [[74, "models"]], "Note": [[39, "note"], [60, "note"]], "Notes": [[24, "notes"], [25, "notes"], [26, "notes"], [52, "notes"], [55, "notes"]], "Overview": [[77, "overview"]], "Parameters": [[3, "parameters"], [3, "id2"], [3, "id4"], [3, "id7"], [5, "parameters"], [5, "id1"], [5, "id3"], [5, "id5"], [5, "id7"], [5, "id9"], [5, "id11"], [5, "id13"], [5, "id15"], [7, "parameters"], [9, "parameters"], [9, "id1"], [9, "id3"], [9, "id5"], [9, "id7"], [9, "id9"], [9, "id11"], [10, "parameters"], [13, "parameters"], [13, "id1"], [13, "id4"], [13, "id6"], [13, "id8"], [13, "id10"], [16, "parameters"], [16, "id2"], [16, "id4"], [16, "id6"], [16, "id8"], [16, "id10"], [16, "id12"], [17, "parameters"], [22, "parameters"], [24, "parameters"], [24, "id2"], [24, "id4"], [24, "id6"], [24, "id8"], [24, "id12"], [25, "id1"], [25, "id3"], [25, "id5"], [25, "id7"], [25, "id9"], [25, "id11"], [25, "id15"], [25, "id17"], [26, "id1"], [26, "id3"], [26, "id5"], [26, "id7"], [26, "id9"], [26, "id11"], [26, "id15"], [26, "id17"], [27, "parameters"], [29, "parameters"], [29, "id1"], [29, "id3"], [29, "id5"], [29, "id8"], [29, "id14"], [29, "id16"], [29, "id18"], [30, "parameters"], [31, "parameters"], [32, "parameters"], [34, "parameters"], [35, "parameters"], [36, "parameters"], [37, "parameters"], [39, "parameters"], [39, "id2"], [39, "id4"], [39, "id6"], [39, "id8"], [39, "id10"], [39, "id12"], [39, "id14"], [39, "id16"], [40, "parameters"], [47, "parameters"], [47, "id2"], [47, "id4"], [52, "parameters"], [52, "id1"], [52, "id2"], [52, "id5"], [52, "id7"], [52, "id9"], [52, "id11"], [52, "id13"], [52, "id17"], [55, "parameters"], [55, "id1"], [55, "id3"], [55, "id5"], [55, "id8"], [55, "id10"], [55, "id14"], [55, "id16"], [58, "parameters"], [58, "id1"], [60, "parameters"], [60, "id4"], [60, "id6"], [60, "id8"], [60, "id10"], [60, "id12"], [60, "id14"], [60, "id16"], [60, "id18"], [60, "id20"], [61, "parameters"], [62, "parameters"], [63, "parameters"]], "Parameters:": [[25, "parameters"], [26, "parameters"]], "Post-processing": [[81, "post-processing"]], "Postprocessing": [[79, "postprocessing"]], "Priors": [[65, "id2"], [68, "id2"], [69, "id2"], [73, "id2"], [76, "id2"], [78, "id2"]], "Priors, input space and experimental design": [[72, "priors-input-space-and-experimental-design"]], "Priors1": [[75, "id2"], [75, "id4"], [75, "id6"]], "Pylink model": [[65, "id1"], [68, "id1"], [69, "id1"], [73, "id1"], [76, "id1"], [78, "id1"]], "Pylink model1": [[75, "id1"], [75, "id3"], [75, "id5"]], "Quickstart": [[71, "quickstart"]], "Raises": [[13, "raises"], [29, "raises"], [62, "raises"]], "References": [[52, "references"], [55, "references"], [55, "id7"], [58, "references"], [58, "id2"]], "Returns": [[3, "returns"], [3, "id1"], [3, "id3"], [3, "id5"], [3, "id6"], [3, "id8"], [5, "returns"], [5, "id2"], [5, "id4"], [5, "id6"], [5, "id8"], [5, "id10"], [5, "id12"], [5, "id14"], [5, "id16"], [5, "id17"], [7, "returns"], [9, "returns"], [9, "id2"], [9, "id4"], [9, "id6"], [9, "id8"], [9, "id10"], [9, "id12"], [10, "returns"], [13, "returns"], [13, "id2"], [13, "id3"], [13, "id5"], [13, "id7"], [13, "id9"], [13, "id11"], [16, "returns"], [16, "id1"], [16, "id3"], [16, "id5"], [16, "id7"], [16, "id9"], [16, "id11"], [16, "id13"], [17, "returns"], [22, "returns"], [24, "returns"], [24, "id1"], [24, "id3"], [24, "id5"], [24, "id7"], [24, "id11"], [24, "id13"], [25, "returns"], [25, "id2"], [25, "id4"], [25, "id6"], [25, "id8"], [25, "id10"], [25, "id14"], [25, "id16"], [25, "id18"], [26, "returns"], [26, "id2"], [26, "id4"], [26, "id6"], [26, "id8"], [26, "id10"], [26, "id14"], [26, "id16"], [26, "id18"], [27, "returns"], [29, "returns"], [29, "id2"], [29, "id4"], [29, "id6"], [29, "id7"], [29, "id9"], [29, "id10"], [29, "id11"], [29, "id12"], [29, "id13"], [29, "id15"], [29, "id17"], [29, "id19"], [30, "returns"], [31, "returns"], [32, "returns"], [34, "returns"], [35, "returns"], [36, "returns"], [37, "returns"], [39, "returns"], [39, "id1"], [39, "id3"], [39, "id5"], [39, "id7"], [39, "id9"], [39, "id11"], [39, "id13"], [39, "id15"], [39, "id17"], [40, "returns"], [42, "returns"], [42, "id1"], [42, "id3"], [42, "id4"], [47, "returns"], [47, "id1"], [47, "id3"], [47, "id5"], [49, "returns"], [52, "returns"], [52, "id3"], [52, "id4"], [52, "id6"], [52, "id8"], [52, "id10"], [52, "id12"], [52, "id16"], [52, "id18"], [55, "returns"], [55, "id2"], [55, "id4"], [55, "id6"], [55, "id9"], [55, "id13"], [55, "id15"], [55, "id17"], [58, "returns"], [60, "returns"], [60, "id1"], [60, "id2"], [60, "id3"], [60, "id5"], [60, "id7"], [60, "id9"], [60, "id11"], [60, "id13"], [60, "id15"], [60, "id17"], [60, "id19"], [60, "id21"], [61, "returns"], [62, "returns"], [63, "returns"]], "See also": [[71, "see-also"]], "Sequential training": [[81, "sequential-training"]], "Set the experimental design": [[81, "set-the-experimental-design"]], "Surrogate": [[65, "surrogate"], [68, "surrogate"], [69, "surrogate"], [73, "surrogate"], [76, "surrogate"], [78, "surrogate"]], "Surrogate-assisted\u00a0Bayesian validation of computational models": [[71, "surrogate-assisted-bayesian-validation-of-computational-models"]], "Surrogates 1-3": [[75, "surrogates-1-3"]], "TUTORIAL": [[81, "tutorial"]], "Train the surrogate with an engine": [[81, "train-the-surrogate-with-an-engine"]], "Training choices": [[65, "id5"], [68, "id5"], [69, "id4"], [73, "id4"], [75, "id8"], [76, "id4"], [78, "id4"]], "Training surrogate models": [[80, "training-surrogate-models"]], "Training with the engine": [[80, "training-with-the-engine"]], "USER GUIDE": [[77, "user-guide"]], "bayesvalidrox": [[0, "module-bayesvalidrox"]], "bayesvalidrox.bayes_inference": [[1, "module-bayesvalidrox.bayes_inference"]], "bayesvalidrox.bayes_inference.bayes_inference": [[2, "module-bayesvalidrox.bayes_inference.bayes_inference"]], "bayesvalidrox.bayes_inference.bayes_inference.BayesInference": [[3, "bayesvalidrox-bayes-inference-bayes-inference-bayesinference"]], "bayesvalidrox.bayes_inference.bayes_model_comparison": [[4, "module-bayesvalidrox.bayes_inference.bayes_model_comparison"]], "bayesvalidrox.bayes_inference.bayes_model_comparison.BayesModelComparison": [[5, "bayesvalidrox-bayes-inference-bayes-model-comparison-bayesmodelcomparison"]], "bayesvalidrox.bayes_inference.discrepancy": [[6, "module-bayesvalidrox.bayes_inference.discrepancy"]], "bayesvalidrox.bayes_inference.discrepancy.Discrepancy": [[7, "bayesvalidrox-bayes-inference-discrepancy-discrepancy"]], "bayesvalidrox.bayes_inference.mcmc": [[8, "module-bayesvalidrox.bayes_inference.mcmc"]], "bayesvalidrox.bayes_inference.mcmc.MCMC": [[9, "bayesvalidrox-bayes-inference-mcmc-mcmc"]], "bayesvalidrox.bayes_inference.mcmc.gelman_rubin": [[10, "bayesvalidrox-bayes-inference-mcmc-gelman-rubin"]], "bayesvalidrox.post_processing": [[11, "module-bayesvalidrox.post_processing"]], "bayesvalidrox.post_processing.post_processing": [[12, "module-bayesvalidrox.post_processing.post_processing"]], "bayesvalidrox.post_processing.post_processing.PostProcessing": [[13, "bayesvalidrox-post-processing-post-processing-postprocessing"]], "bayesvalidrox.pylink": [[14, "module-bayesvalidrox.pylink"]], "bayesvalidrox.pylink.pylink": [[15, "module-bayesvalidrox.pylink.pylink"]], "bayesvalidrox.pylink.pylink.PyLinkForwardModel": [[16, "bayesvalidrox-pylink-pylink-pylinkforwardmodel"]], "bayesvalidrox.pylink.pylink.within_range": [[17, "bayesvalidrox-pylink-pylink-within-range"]], "bayesvalidrox.surrogate_models": [[18, "module-bayesvalidrox.surrogate_models"]], "bayesvalidrox.surrogate_models.adaptPlot": [[19, "module-bayesvalidrox.surrogate_models.adaptPlot"]], "bayesvalidrox.surrogate_models.adaptPlot.adaptPlot": [[20, "bayesvalidrox-surrogate-models-adaptplot-adaptplot"]], "bayesvalidrox.surrogate_models.apoly_construction": [[21, "module-bayesvalidrox.surrogate_models.apoly_construction"]], "bayesvalidrox.surrogate_models.apoly_construction.apoly_construction": [[22, "bayesvalidrox-surrogate-models-apoly-construction-apoly-construction"]], "bayesvalidrox.surrogate_models.bayes_linear": [[23, "module-bayesvalidrox.surrogate_models.bayes_linear"]], "bayesvalidrox.surrogate_models.bayes_linear.BayesianLinearRegression": [[24, "bayesvalidrox-surrogate-models-bayes-linear-bayesianlinearregression"]], "bayesvalidrox.surrogate_models.bayes_linear.EBLinearRegression": [[25, "bayesvalidrox-surrogate-models-bayes-linear-eblinearregression"]], "bayesvalidrox.surrogate_models.bayes_linear.VBLinearRegression": [[26, "bayesvalidrox-surrogate-models-bayes-linear-vblinearregression"]], "bayesvalidrox.surrogate_models.bayes_linear.gamma_mean": [[27, "bayesvalidrox-surrogate-models-bayes-linear-gamma-mean"]], "bayesvalidrox.surrogate_models.engine": [[28, "module-bayesvalidrox.surrogate_models.engine"]], "bayesvalidrox.surrogate_models.engine.Engine": [[29, "bayesvalidrox-surrogate-models-engine-engine"]], "bayesvalidrox.surrogate_models.engine.hellinger_distance": [[30, "bayesvalidrox-surrogate-models-engine-hellinger-distance"]], "bayesvalidrox.surrogate_models.engine.logpdf": [[31, "bayesvalidrox-surrogate-models-engine-logpdf"]], "bayesvalidrox.surrogate_models.engine.subdomain": [[32, "bayesvalidrox-surrogate-models-engine-subdomain"]], "bayesvalidrox.surrogate_models.eval_rec_rule": [[33, "module-bayesvalidrox.surrogate_models.eval_rec_rule"]], "bayesvalidrox.surrogate_models.eval_rec_rule.eval_rec_rule": [[34, "bayesvalidrox-surrogate-models-eval-rec-rule-eval-rec-rule"]], "bayesvalidrox.surrogate_models.eval_rec_rule.eval_rec_rule_arbitrary": [[35, "bayesvalidrox-surrogate-models-eval-rec-rule-eval-rec-rule-arbitrary"]], "bayesvalidrox.surrogate_models.eval_rec_rule.eval_univ_basis": [[36, "bayesvalidrox-surrogate-models-eval-rec-rule-eval-univ-basis"]], "bayesvalidrox.surrogate_models.eval_rec_rule.poly_rec_coeffs": [[37, "bayesvalidrox-surrogate-models-eval-rec-rule-poly-rec-coeffs"]], "bayesvalidrox.surrogate_models.exp_designs": [[38, "module-bayesvalidrox.surrogate_models.exp_designs"]], "bayesvalidrox.surrogate_models.exp_designs.ExpDesigns": [[39, "bayesvalidrox-surrogate-models-exp-designs-expdesigns"]], "bayesvalidrox.surrogate_models.exp_designs.check_ranges": [[40, "bayesvalidrox-surrogate-models-exp-designs-check-ranges"]], "bayesvalidrox.surrogate_models.exploration": [[41, 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\ No newline at end of file
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diff --git a/docs/build/html/surrogate_description.html b/docs/build/html/surrogate_description.html
index 7868bbdab..cbaf39a07 100644
--- a/docs/build/html/surrogate_description.html
+++ b/docs/build/html/surrogate_description.html
@@ -170,6 +170,7 @@
 <li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Training surrogate models</a></li>
 <li class="toctree-l2"><a class="reference internal" href="al_description.html">Active learning: iteratively expanding the training set</a></li>
 <li class="toctree-l2"><a class="reference internal" href="post_description.html">Postprocessing</a></li>
+<li class="toctree-l2"><a class="reference internal" href="bayes_description.html">Bayesian inference and multi-model comparison</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="tutorial.html">TUTORIAL</a></li>
@@ -357,12 +358,19 @@ Training is performed by the class <a class="reference internal" href="_autosumm
 This needs to be given three things: the metamodel itself, the model that the metamodel should replace and the experimental design that matches the uncertain inputs for the model and metamodel.</p>
 <p>The standard method of training the surrogate is performed by the function <code class="docutils literal notranslate"><span class="pre">train_normal()</span></code>.
 Other available training methods in BayesValidRox are presented in <a class="reference internal" href="al_description.html"><span class="doc">Active learning: iteratively expanding the training set</span></a>.</p>
+<div class="twocol docutils container">
+<div class="leftside docutils container">
 <p>For training the engine performs three main steps.</p>
 <ol class="arabic simple">
 <li><p>Generating training samples from the experimental design.</p></li>
 <li><p>Evaluating the model on the training samples.</p></li>
 <li><p>Fitting the surrogate to the training dataset.</p></li>
 </ol>
+</div>
+<div class="rightside docutils container">
+<a class="reference internal image-reference" href="_images/engine_train_normal.png"><img alt="Diagram of main steps in ``Engine.train_normal()``" src="_images/engine_train_normal.png" style="width: 800px;" /></a>
+</div>
+</div>
 </section>
 <section id="example">
 <h2>Example<a class="headerlink" href="#example" title="Link to this heading">¶</a></h2>
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->>>>>>> 32b0e925 (Customized webpage design, started on user guide)
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-        <mxCell id="7mrnjeITseIOZdqzYI7M-1" value="bayesvalidrox" style="text;html=1;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;" vertex="1" parent="1">
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diff --git a/docs/source/surrogate_description.rst b/docs/source/surrogate_description.rst
index 3b32fbe2e..6cd7bcd29 100644
--- a/docs/source/surrogate_description.rst
+++ b/docs/source/surrogate_description.rst
@@ -31,11 +31,21 @@ This needs to be given three things: the metamodel itself, the model that the me
 The standard method of training the surrogate is performed by the function ``train_normal()``.
 Other available training methods in BayesValidRox are presented in :any:`al_description`.
 
-For training the engine performs three main steps.
+.. container:: twocol
 
-1) Generating training samples from the experimental design.
-2) Evaluating the model on the training samples.
-3) Fitting the surrogate to the training dataset.
+   .. container:: leftside
+   
+      For training the engine performs three main steps.
+
+      1) Generating training samples from the experimental design.
+      2) Evaluating the model on the training samples.
+      3) Fitting the surrogate to the training dataset.
+	  
+   .. container:: rightside
+   
+      .. image:: ../diagrams/engine_train_normal.png
+         :width: 800
+         :alt: Diagram of main steps in ``Engine.train_normal()``
 
 Example
 =======
-- 
GitLab