From 5b8334a622c1342349773bde8d712b8b461a1c5c Mon Sep 17 00:00:00 2001
From: kohlhaasrebecca <rebecca.kohlhaas@outlook.com>
Date: Wed, 26 Jun 2024 13:55:24 +0200
Subject: [PATCH] Added Contribution guidelines and rebuilt the webpage
A first draft of the contribution guidelines can now be found in `CONTRIBUTING.md`.
The website was rebuilt, but does not include the guidelines yet.
---
CONTRIBUTING.md | 34 +
docs/build/doctrees/environment.pickle | Bin 3070491 -> 3058311 bytes
...erence.bayes_inference.BayesInference.html | 5 +-
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...rogate_models.bayes_linear.gamma_mean.html | 5 +-
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...lidrox.surrogate_models.engine.Engine.html | 3 +-
...gate_models.engine.hellinger_distance.html | 3 +-
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...lidrox.surrogate_models.engine.logpdf.html | 3 +-
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..._models.eval_rec_rule.eval_univ_basis.html | 5 +-
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..._models.eval_rec_rule.poly_rec_coeffs.html | 5 +-
...rrogate_models.exp_designs.ExpDesigns.html | 5 +-
...ogate_models.exp_designs.check_ranges.html | 5 +-
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...rogate_models.exploration.Exploration.html | 5 +-
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...ogate_models.glexindex.cross_truncate.html | 5 +-
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...drox.surrogate_models.inputs.Marginal.html | 5 +-
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...gate_models.gaussian_process_emulator.html | 5 +-
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docs/build/html/analyticalfunction.html | 5 +-
docs/build/html/api.html | 5 +-
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docs/website/.gitlab-ci.yml | 25 -
docs/website/README.md | 98 --
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.../website/example_analytical_function.ipynb | 892 ------------------
docs/website/intro.md | 16 -
docs/website/markdown.md | 125 ---
docs/website/notebooks.ipynb | 122 ---
docs/website/references.bib | 56 --
docs/website/requirements.txt | 3 -
90 files changed, 323 insertions(+), 1488 deletions(-)
create mode 100644 CONTRIBUTING.md
delete mode 100644 docs/website/.gitlab-ci.yml
delete mode 100644 docs/website/README.md
delete mode 100644 docs/website/_config.yml
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delete mode 100644 docs/website/intro.md
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delete mode 100644 docs/website/notebooks.ipynb
delete mode 100644 docs/website/references.bib
delete mode 100644 docs/website/requirements.txt
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
new file mode 100644
index 000000000..341c9d1a2
--- /dev/null
+++ b/CONTRIBUTING.md
@@ -0,0 +1,34 @@
+# Contribution guidelines for BayesValidRox
+Thank you for investing your time in contributing to our project!
+In this guide you will get an overview of the contribution workflow from opening an issue, creating a PR, reviewing, and merging the PR.
+
+To get an overview of the project you can read the [README](https://git.iws.uni-stuttgart.de/inversemodeling/bayesvalidrox/-/blob/master/README.md?ref_type=heads) file and have a look at the BayesValidRox website.
+
+## Issues
+If you know what you’re going to work on, see if an issue exists.
+If a related issue doesn't exist, you can open a new issue using a relevant issue form.
+
+Scan through existing issues to find one that interests you. You can narrow down the search using labels as filters.
+When you find an issue, leave a comment on the issue you want to work on.
+This helps to let others know that you will be working on that issue.
+
+## Testing and Examples
+Any changes that you make while working on your chosen issue should be reflected in the [tests](https://git.iws.uni-stuttgart.de/inversemodeling/bayesvalidrox/-/tree/master/tests?ref_type=heads).
+This includes updating the tests that are affected by changes in the source code, as well as adding tests for new features.
+
+The same holds true for the [examples](https://git.iws.uni-stuttgart.de/inversemodeling/bayesvalidrox/-/tree/master/examples?ref_type=heads).
+If you are adding new functionalities and features, a new example should be added that shows how these features are used.
+
+
+## Submitting changes
+Please send a GitHub Pull Request with a clear list of what you've done.
+When you send a pull request, it would be great if you include tests and examples that reflect your changes.
+We can always use more test coverage.
+Please follow our coding conventions (below) and make sure all of your commits are atomic (one feature per commit).
+
+Always write a clear log message for your commits. One-line messages are fine for small changes, but bigger changes should look like this:
+
+$ git commit -m "A brief summary of the commit
+>
+> A paragraph describing what changed and its impact."
+
diff --git a/docs/build/doctrees/environment.pickle b/docs/build/doctrees/environment.pickle
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_inference.BayesInference.html b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_inference.BayesInference.html
index 1598c3ae4..a8fbf9952 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_inference.BayesInference.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_inference.BayesInference.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
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-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_inference.html b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_inference.html
index 1fa667731..d5f4bdc76 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_inference.html
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@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing</a></li>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_model_comparison.BayesModelComparison.html b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_model_comparison.BayesModelComparison.html
index 37db0dba4..2b9f5ffba 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_model_comparison.BayesModelComparison.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_model_comparison.BayesModelComparison.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
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-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing</a></li>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_model_comparison.html b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_model_comparison.html
index d2ab1583f..83a052126 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_model_comparison.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.bayes_model_comparison.html
@@ -166,8 +166,11 @@
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.discrepancy.Discrepancy.html b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.discrepancy.Discrepancy.html
index 79f36c04f..012f9ca7b 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.discrepancy.Discrepancy.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.discrepancy.Discrepancy.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.discrepancy.html b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.discrepancy.html
index dbded7022..333585094 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.discrepancy.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.discrepancy.html
@@ -166,8 +166,11 @@
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.html b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.html
index 7f9362295..c7fdddf41 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.html
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.mcmc.MCMC.html b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.mcmc.MCMC.html
index bb9aba486..1c766909b 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.mcmc.MCMC.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.mcmc.MCMC.html
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+<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing</a></li>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.mcmc.gelman_rubin.html b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.mcmc.gelman_rubin.html
index 2dd7b60dd..d00bc5717 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.mcmc.gelman_rubin.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.mcmc.gelman_rubin.html
@@ -166,8 +166,11 @@
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.mcmc.html b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.mcmc.html
index 3906931dc..29b44ce99 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.mcmc.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.bayes_inference.mcmc.html
@@ -166,8 +166,11 @@
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.html b/docs/build/html/_autosummary/bayesvalidrox.html
index 8148bd67b..5c9c7d22e 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.html
@@ -166,8 +166,11 @@
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.post_processing.html b/docs/build/html/_autosummary/bayesvalidrox.post_processing.html
index a30f09009..ee8c18176 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.post_processing.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.post_processing.html
@@ -166,8 +166,11 @@
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.post_processing.post_processing.PostProcessing.html b/docs/build/html/_autosummary/bayesvalidrox.post_processing.post_processing.PostProcessing.html
index 23bc022a5..1e9cfdbec 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.post_processing.post_processing.PostProcessing.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.post_processing.post_processing.PostProcessing.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.post_processing.post_processing.html b/docs/build/html/_autosummary/bayesvalidrox.post_processing.post_processing.html
index 752be7e7b..1c0ee0798 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.post_processing.post_processing.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.post_processing.post_processing.html
@@ -166,8 +166,11 @@
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.pylink.html b/docs/build/html/_autosummary/bayesvalidrox.pylink.html
index a92f4eadd..d3b4ddb9d 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.pylink.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.pylink.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.pylink.pylink.PyLinkForwardModel.html b/docs/build/html/_autosummary/bayesvalidrox.pylink.pylink.PyLinkForwardModel.html
index 3fd01d645..868fd8032 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.pylink.pylink.PyLinkForwardModel.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.pylink.pylink.PyLinkForwardModel.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.pylink.pylink.html b/docs/build/html/_autosummary/bayesvalidrox.pylink.pylink.html
index e3ae83058..fd29ae011 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.pylink.pylink.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.pylink.pylink.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.pylink.pylink.within_range.html b/docs/build/html/_autosummary/bayesvalidrox.pylink.pylink.within_range.html
index dede4fc9a..d13e5d7af 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.pylink.pylink.within_range.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.pylink.pylink.within_range.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing</a></li>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.adaptPlot.adaptPlot.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.adaptPlot.adaptPlot.html
index f2c59c45b..88166ae55 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.adaptPlot.adaptPlot.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.adaptPlot.adaptPlot.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing</a></li>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.adaptPlot.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.adaptPlot.html
index 208623027..dc183669e 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.adaptPlot.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.adaptPlot.html
@@ -166,8 +166,11 @@
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.apoly_construction.apoly_construction.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.apoly_construction.apoly_construction.html
index 44563edab..7fd894a2b 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.apoly_construction.apoly_construction.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.apoly_construction.apoly_construction.html
@@ -166,8 +166,11 @@
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.apoly_construction.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.apoly_construction.html
index 0841b4ece..bb8064c4a 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.apoly_construction.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.apoly_construction.html
@@ -166,8 +166,11 @@
<ul class="current">
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<li class="toctree-l2"><a class="reference internal" href="../input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.BayesianLinearRegression.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.BayesianLinearRegression.html
index cad9e1c77..f0262935e 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.BayesianLinearRegression.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.BayesianLinearRegression.html
@@ -166,8 +166,11 @@
<ul class="current">
<li class="toctree-l1 has-children"><a class="reference internal" href="../packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="../input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.EBLinearRegression.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.EBLinearRegression.html
index 78b455a07..faf9eaf24 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.EBLinearRegression.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.EBLinearRegression.html
@@ -166,8 +166,11 @@
<ul class="current">
<li class="toctree-l1 has-children"><a class="reference internal" href="../packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="../input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.VBLinearRegression.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.VBLinearRegression.html
index 185109682..71a0340bb 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.VBLinearRegression.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.VBLinearRegression.html
@@ -166,8 +166,11 @@
<ul class="current">
<li class="toctree-l1 has-children"><a class="reference internal" href="../packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="../input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.gamma_mean.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.gamma_mean.html
index 044b88f8e..c3b2d5667 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.gamma_mean.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.gamma_mean.html
@@ -166,8 +166,11 @@
<ul class="current">
<li class="toctree-l1 has-children"><a class="reference internal" href="../packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="../input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.html
index 0033214ac..5d1164c23 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.bayes_linear.html
@@ -166,8 +166,11 @@
<ul class="current">
<li class="toctree-l1 has-children"><a class="reference internal" href="../packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="../input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.Engine.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.Engine.html
index dbacf6597..d9bc2a754 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.Engine.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.Engine.html
@@ -169,7 +169,8 @@
<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">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, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.hellinger_distance.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.hellinger_distance.html
index ffe7c62a3..d4d269e7f 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.hellinger_distance.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.hellinger_distance.html
@@ -169,7 +169,8 @@
<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">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, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.html
index 01ccaf1be..885ebd13a 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.html
@@ -169,7 +169,8 @@
<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">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, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.logpdf.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.logpdf.html
index 90150becd..d1ef23527 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.logpdf.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.logpdf.html
@@ -169,7 +169,8 @@
<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">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, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.subdomain.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.subdomain.html
index 573e622e0..9e48ba3c3 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.subdomain.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.engine.subdomain.html
@@ -169,7 +169,8 @@
<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">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, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.eval_rec_rule.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.eval_rec_rule.html
index 80f24a101..cac4d998e 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.eval_rec_rule.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.eval_rec_rule.html
@@ -166,8 +166,11 @@
<ul class="current">
<li class="toctree-l1 has-children"><a class="reference internal" href="../packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="../input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.eval_rec_rule_arbitrary.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.eval_rec_rule_arbitrary.html
index e5be45291..dde4517e0 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.eval_rec_rule_arbitrary.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.eval_rec_rule_arbitrary.html
@@ -166,8 +166,11 @@
<ul class="current">
<li class="toctree-l1 has-children"><a class="reference internal" href="../packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="../input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.eval_univ_basis.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.eval_univ_basis.html
index b704f3d3e..cc0f1d31c 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.eval_univ_basis.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.eval_univ_basis.html
@@ -166,8 +166,11 @@
<ul class="current">
<li class="toctree-l1 has-children"><a class="reference internal" href="../packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="../input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.html
index 152ac0cc6..58709347d 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.html
@@ -166,8 +166,11 @@
<ul class="current">
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
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-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing</a></li>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.poly_rec_coeffs.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.poly_rec_coeffs.html
index 11c59eb68..b13d05c48 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.poly_rec_coeffs.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.eval_rec_rule.poly_rec_coeffs.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exp_designs.ExpDesigns.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exp_designs.ExpDesigns.html
index 7b1fdb689..78f9787e1 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exp_designs.ExpDesigns.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exp_designs.ExpDesigns.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exp_designs.check_ranges.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exp_designs.check_ranges.html
index f21e500d4..c9556e431 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exp_designs.check_ranges.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exp_designs.check_ranges.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exp_designs.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exp_designs.html
index 9de0b16b2..0a54834e0 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exp_designs.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exp_designs.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
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+<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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exploration.Exploration.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exploration.Exploration.html
index cd723f3ff..4496b2d8f 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exploration.Exploration.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exploration.Exploration.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exploration.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exploration.html
index e1ac08e7f..5482569e1 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exploration.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.exploration.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
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-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.glexindex.cross_truncate.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.glexindex.cross_truncate.html
index c03a28785..5a03208c8 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.glexindex.cross_truncate.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.glexindex.cross_truncate.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.glexindex.glexindex.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.glexindex.glexindex.html
index c539a49fc..a950df2ff 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.glexindex.glexindex.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.glexindex.glexindex.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.glexindex.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.glexindex.html
index 23c6ccaf9..96400f333 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.glexindex.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.glexindex.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.html
index b7b7a8357..4312aa252 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.html
@@ -169,7 +169,8 @@
<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
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-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.input_space.InputSpace.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.input_space.InputSpace.html
index 3267f5a5b..b5eb76fa2 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.input_space.InputSpace.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.input_space.InputSpace.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.input_space.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.input_space.html
index a6709b5e2..cc003dd63 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.input_space.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.input_space.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.inputs.Input.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.inputs.Input.html
index b9176038b..95f8b8e45 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.inputs.Input.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.inputs.Input.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.inputs.Marginal.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.inputs.Marginal.html
index 76b367e00..fca0dcb0d 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.inputs.Marginal.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.inputs.Marginal.html
@@ -166,8 +166,11 @@
<ul class="current">
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.inputs.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.inputs.html
index 029c319cd..d5c3b12c1 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.inputs.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.inputs.html
@@ -166,8 +166,11 @@
<ul class="current">
<li class="toctree-l1 has-children"><a class="reference internal" href="../packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.OrthogonalMatchingPursuit.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.OrthogonalMatchingPursuit.html
index a779a0005..3e5c7122e 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.OrthogonalMatchingPursuit.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.OrthogonalMatchingPursuit.html
@@ -166,8 +166,11 @@
<ul class="current">
<li class="toctree-l1 has-children"><a class="reference internal" href="../packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.corr.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.corr.html
index 1786db353..274d8319d 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.corr.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.corr.html
@@ -166,8 +166,11 @@
<ul class="current">
<li class="toctree-l1 has-children"><a class="reference internal" href="../packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.html
index 80f888931..f159c07b7 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.html
@@ -166,8 +166,11 @@
<ul class="current">
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_ard.RegressionFastARD.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_ard.RegressionFastARD.html
index 416904a84..0ff5711b1 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_ard.RegressionFastARD.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_ard.RegressionFastARD.html
@@ -166,8 +166,11 @@
<ul class="current">
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_ard.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_ard.html
index fd8ef6ea8..f1a15392d 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_ard.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_ard.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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<li class="toctree-l1"><a class="reference internal" href="../tutorial.html">TUTORIAL</a></li>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_ard.update_precisions.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_ard.update_precisions.html
index a56113eb8..ff1c030d1 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_ard.update_precisions.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_ard.update_precisions.html
@@ -166,8 +166,11 @@
<ul class="current">
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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<li class="toctree-l1"><a class="reference internal" href="../tutorial.html">TUTORIAL</a></li>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_laplace.RegressionFastLaplace.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_laplace.RegressionFastLaplace.html
index ec46718c4..dc6b45be7 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_laplace.RegressionFastLaplace.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_laplace.RegressionFastLaplace.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_laplace.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_laplace.html
index 57bdb940d..39bed6efb 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_laplace.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.reg_fast_laplace.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.MetaModel.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.MetaModel.html
index 9f4ce9efa..49744e809 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.MetaModel.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.MetaModel.html
@@ -166,8 +166,11 @@
<ul class="current">
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.corr_loocv_error.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.corr_loocv_error.html
index ea62a231f..a047d2ad8 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.corr_loocv_error.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.corr_loocv_error.html
@@ -166,8 +166,11 @@
<ul class="current">
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.create_psi.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.create_psi.html
index 290dd7f72..1b72a962c 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.create_psi.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.create_psi.html
@@ -166,8 +166,11 @@
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+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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</li>
<li class="toctree-l1"><a class="reference internal" href="../tutorial.html">TUTORIAL</a></li>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.gaussian_process_emulator.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.gaussian_process_emulator.html
index b54877084..560f6c733 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.gaussian_process_emulator.html
+++ b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.gaussian_process_emulator.html
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<li class="toctree-l2"><a class="reference internal" href="../input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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</li>
<li class="toctree-l1"><a class="reference internal" href="../tutorial.html">TUTORIAL</a></li>
diff --git a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.html b/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.html
index 22ed21b9a..82a65402e 100644
--- a/docs/build/html/_autosummary/bayesvalidrox.surrogate_models.surrogate_models.html
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<li class="toctree-l2"><a class="reference internal" href="../input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="../surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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</li>
<li class="toctree-l1"><a class="reference internal" href="../tutorial.html">TUTORIAL</a></li>
diff --git a/docs/build/html/al_description.html b/docs/build/html/al_description.html
index 8b449364d..aa3d9fc17 100644
--- a/docs/build/html/al_description.html
+++ b/docs/build/html/al_description.html
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<li class="toctree-l2"><a class="reference internal" href="surrogate_description.html">Training surrogate models</a></li>
<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">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>
diff --git a/docs/build/html/analyticalfunction.html b/docs/build/html/analyticalfunction.html
index 6e67d67eb..42509cf38 100644
--- a/docs/build/html/analyticalfunction.html
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<li class="toctree-l1 has-children"><a class="reference internal" href="packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
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+<li class="toctree-l2"><a class="reference internal" href="model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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<li class="toctree-l1"><a class="reference internal" href="tutorial.html">TUTORIAL</a></li>
diff --git a/docs/build/html/api.html b/docs/build/html/api.html
index 5658a7345..d853aff4e 100644
--- a/docs/build/html/api.html
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<li class="toctree-l2"><a class="reference internal" href="input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/beam.html b/docs/build/html/beam.html
index 1695c9932..0e46e422f 100644
--- a/docs/build/html/beam.html
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<li class="toctree-l1 has-children"><a class="reference internal" href="packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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</li>
<li class="toctree-l1"><a class="reference internal" href="tutorial.html">TUTORIAL</a></li>
diff --git a/docs/build/html/borehole.html b/docs/build/html/borehole.html
index 818d19fe6..459a2f5ee 100644
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<li class="toctree-l1 has-children"><a class="reference internal" href="packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</a></li>
+<li class="toctree-l2"><a class="reference internal" href="al_description.html">Active learning: iteratively expanding the training set</a></li>
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<li class="toctree-l1"><a class="reference internal" href="tutorial.html">TUTORIAL</a></li>
diff --git a/docs/build/html/examples.html b/docs/build/html/examples.html
index 4da7009a0..9d6b6cce8 100644
--- a/docs/build/html/examples.html
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@@ -166,8 +166,11 @@
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<li class="toctree-l1 has-children"><a class="reference internal" href="packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
diff --git a/docs/build/html/ishigami.html b/docs/build/html/ishigami.html
index f9c499fe2..56739d967 100644
--- a/docs/build/html/ishigami.html
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@@ -166,8 +166,11 @@
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<li class="toctree-l1 has-children"><a class="reference internal" href="packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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</li>
<li class="toctree-l1"><a class="reference internal" href="tutorial.html">TUTORIAL</a></li>
diff --git a/docs/build/html/modelcomparison.html b/docs/build/html/modelcomparison.html
index cf69b3c90..723a66ed1 100644
--- a/docs/build/html/modelcomparison.html
+++ b/docs/build/html/modelcomparison.html
@@ -166,8 +166,11 @@
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<li class="toctree-l1 has-children"><a class="reference internal" href="packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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</li>
<li class="toctree-l1"><a class="reference internal" href="tutorial.html">TUTORIAL</a></li>
diff --git a/docs/build/html/ohaganfunction.html b/docs/build/html/ohaganfunction.html
index 4a7174016..cfe645ff0 100644
--- a/docs/build/html/ohaganfunction.html
+++ b/docs/build/html/ohaganfunction.html
@@ -166,8 +166,11 @@
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<li class="toctree-l1 has-children"><a class="reference internal" href="packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/pollution.html b/docs/build/html/pollution.html
index f04719ba1..4b71758ef 100644
--- a/docs/build/html/pollution.html
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<li class="toctree-l1 has-children"><a class="reference internal" href="packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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>
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diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js
index 2c5216d90..fba7b51c0 100644
--- a/docs/build/html/searchindex.js
+++ b/docs/build/html/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
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31, 34, 35, 36, 39, 44, 47, 52, 53, 55, 58, 60, 63, 72, 74, 80, 81], "x1": 16, "x_1": [49, 50, 73, 81], "x_2": [73, 81], "x_3": 73, "x_axi": 13, "x_can": 29, "x_i": [44, 80], "x_mc": 29, "x_new": 29, "x_valu": [16, 20, 74], "xi": 16, "xiu": 81, "xlabel": 13, "xnew": 29, "xx": 16, "xxa": 55, "xya": 55, "y": [7, 9, 24, 25, 26, 39, 52, 53, 55, 60, 61, 63], "y_hat": [25, 26, 29, 52, 55, 58], "y_i": 80, "y_pc_val": 20, "y_pc_val_std": 20, "y_pred": [24, 25, 26, 52, 55, 60], "y_true": [24, 25, 26, 52, 55], "y_val": 20, "ye": [16, 65, 68, 78], "yet": 10, "yew": 29, "you": [7, 13, 16, 24, 25, 26, 52, 55, 66, 69, 73, 75, 76, 78], "young": 68, "your": [13, 69, 73, 76, 77], "yr": [69, 73], "z": 81, "zero": [30, 52, 55, 58], "zeromean": 7, "zip": 16, "zip_subdir": 16, "zurich": 33}, "titles": ["bayesvalidrox", "bayesvalidrox.bayes_inference", "bayesvalidrox.bayes_inference.bayes_inference", "bayesvalidrox.bayes_inference.bayes_inference.BayesInference", "bayesvalidrox.bayes_inference.bayes_model_comparison", "bayesvalidrox.bayes_inference.bayes_model_comparison.BayesModelComparison", "bayesvalidrox.bayes_inference.discrepancy", "bayesvalidrox.bayes_inference.discrepancy.Discrepancy", "bayesvalidrox.bayes_inference.mcmc", "bayesvalidrox.bayes_inference.mcmc.MCMC", "bayesvalidrox.bayes_inference.mcmc.gelman_rubin", "bayesvalidrox.post_processing", "bayesvalidrox.post_processing.post_processing", "bayesvalidrox.post_processing.post_processing.PostProcessing", "bayesvalidrox.pylink", "bayesvalidrox.pylink.pylink", "bayesvalidrox.pylink.pylink.PyLinkForwardModel", "bayesvalidrox.pylink.pylink.within_range", "bayesvalidrox.surrogate_models", "bayesvalidrox.surrogate_models.adaptPlot", "bayesvalidrox.surrogate_models.adaptPlot.adaptPlot", "bayesvalidrox.surrogate_models.apoly_construction", "bayesvalidrox.surrogate_models.apoly_construction.apoly_construction", "bayesvalidrox.surrogate_models.bayes_linear", "bayesvalidrox.surrogate_models.bayes_linear.BayesianLinearRegression", "bayesvalidrox.surrogate_models.bayes_linear.EBLinearRegression", "bayesvalidrox.surrogate_models.bayes_linear.VBLinearRegression", "bayesvalidrox.surrogate_models.bayes_linear.gamma_mean", "bayesvalidrox.surrogate_models.engine", "bayesvalidrox.surrogate_models.engine.Engine", "bayesvalidrox.surrogate_models.engine.hellinger_distance", "bayesvalidrox.surrogate_models.engine.logpdf", "bayesvalidrox.surrogate_models.engine.subdomain", "bayesvalidrox.surrogate_models.eval_rec_rule", "bayesvalidrox.surrogate_models.eval_rec_rule.eval_rec_rule", "bayesvalidrox.surrogate_models.eval_rec_rule.eval_rec_rule_arbitrary", "bayesvalidrox.surrogate_models.eval_rec_rule.eval_univ_basis", "bayesvalidrox.surrogate_models.eval_rec_rule.poly_rec_coeffs", "bayesvalidrox.surrogate_models.exp_designs", "bayesvalidrox.surrogate_models.exp_designs.ExpDesigns", "bayesvalidrox.surrogate_models.exp_designs.check_ranges", "bayesvalidrox.surrogate_models.exploration", "bayesvalidrox.surrogate_models.exploration.Exploration", "bayesvalidrox.surrogate_models.glexindex", "bayesvalidrox.surrogate_models.glexindex.cross_truncate", "bayesvalidrox.surrogate_models.glexindex.glexindex", "bayesvalidrox.surrogate_models.input_space", "bayesvalidrox.surrogate_models.input_space.InputSpace", "bayesvalidrox.surrogate_models.inputs", "bayesvalidrox.surrogate_models.inputs.Input", "bayesvalidrox.surrogate_models.inputs.Marginal", "bayesvalidrox.surrogate_models.orthogonal_matching_pursuit", "bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.OrthogonalMatchingPursuit", "bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.corr", "bayesvalidrox.surrogate_models.reg_fast_ard", "bayesvalidrox.surrogate_models.reg_fast_ard.RegressionFastARD", "bayesvalidrox.surrogate_models.reg_fast_ard.update_precisions", "bayesvalidrox.surrogate_models.reg_fast_laplace", "bayesvalidrox.surrogate_models.reg_fast_laplace.RegressionFastLaplace", "bayesvalidrox.surrogate_models.surrogate_models", "bayesvalidrox.surrogate_models.surrogate_models.MetaModel", "bayesvalidrox.surrogate_models.surrogate_models.corr_loocv_error", "bayesvalidrox.surrogate_models.surrogate_models.create_psi", "bayesvalidrox.surrogate_models.surrogate_models.gaussian_process_emulator", "Active learning: iteratively expanding the training set", "Example: Analytical function", "API", "Bayesian inference and multi-model comparison", "Example: beam", "Example: borehole", "EXAMPLES", "Surrogate-assisted\u00a0Bayesian validation of computational models", "Priors, input space and experimental design", "Example: ishigami", "Models", "Example: model comparison", "Example: OHagan-function", "USER GUIDE", "Example: pollution", "Postprocessing", "Training surrogate models", "TUTORIAL"], "titleterms": {"1": 75, "3": 75, "activ": 64, "adaptplot": [19, 20], "also": 71, "an": 81, "analyt": 65, "api": 66, "apoly_construct": [21, 22], "argument": [29, 42], "assist": 71, "attribut": [3, 5, 7, 9, 13, 16, 25, 26, 39, 42, 47, 49, 50, 52, 55, 58, 60], "bay": [], "bayes_infer": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "bayes_linear": [23, 24, 25, 26, 27], "bayes_model_comparison": [4, 5], "bayesian": [67, 71, 81], "bayesianlinearregress": 24, "bayesinfer": 3, "bayesmodelcomparison": 5, "bayesvalidrox": [0, 1, 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, 31, 32, 33, 34, 35, 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], "beam": 68, "borehol": 69, "check_rang": 40, "choic": [65, 68, 69, 73, 75, 76, 78], "class": 80, "comparison": [67, 75], "comput": 71, "contact": 71, "content": 71, "corr": 53, "corr_loocv_error": 61, "create_psi": 62, "cross_trunc": 44, "data": [65, 68, 69, 73, 76, 78, 81], "defin": 81, "descript": [], "design": [72, 81], "discrep": [6, 7, 65, 68], "eblinearregress": 25, "engin": [28, 29, 30, 31, 32, 80, 81], "eval_rec_rul": [33, 34, 35, 36, 37], "eval_rec_rule_arbitrari": 35, "eval_univ_basi": 36, "exampl": [49, 65, 68, 69, 70, 72, 73, 74, 75, 76, 78, 79, 80], "exp_design": [38, 39, 40], "expand": 64, "expdesign": 39, "experiment": [72, 81], "explor": [41, 42], "function": [65, 76], "further": 71, "gamma_mean": 27, "gaussian_process_emul": 63, "gelman_rubin": 10, "glexindex": [43, 44, 45], "guid": 77, "hellinger_dist": 30, "import": 81, "indic": 71, "infer": [67, 81], "input": [48, 49, 50, 72, 81], "input_spac": [46, 47], "inputspac": 47, "instal": [71, 77], "introductori": [], "ishigami": 73, "iter": 64, "l2_model": 75, "learn": 64, "librari": 81, "licens": 71, "link": 71, "logpdf": 31, "margin": 50, "mcmc": [8, 9, 10], "meta": 81, "meta_model_engin": [], "metamodel": [60, 65, 68, 69, 73, 75, 76, 78, 80], "model": [65, 67, 68, 69, 71, 73, 74, 75, 76, 78, 80, 81], "model1": 75, "multi": 67, "necessari": 81, "nl2_model": 75, "nl4_model": 75, "note": [24, 25, 26, 39, 52, 55, 60], "ohagan": 76, "option": 80, "orthogonal_matching_pursuit": [51, 52, 53], "orthogonalmatchingpursuit": 52, "overview": 77, "packag": [], "paramet": [3, 5, 7, 9, 10, 13, 16, 17, 22, 24, 25, 26, 27, 29, 30, 31, 32, 34, 35, 36, 37, 39, 40, 47, 52, 55, 58, 60, 61, 62, 63], "pollut": 78, "poly_rec_coeff": 37, "post": 81, "post_process": [11, 12, 13], "postprocess": [13, 79], "prior": [65, 68, 69, 72, 73, 76, 78], "priors1": 75, "probabilist": 81, "process": 81, "pylink": [14, 15, 16, 17, 65, 68, 69, 73, 75, 76, 78], "pylinkforwardmodel": [16, 81], "quickstart": 71, "rais": [13, 29, 62], "refer": [52, 55, 58], "reg_fast_ard": [54, 55, 56], "reg_fast_laplac": [57, 58], "regressionfastard": 55, "regressionfastlaplac": 58, "return": [3, 5, 7, 9, 10, 13, 16, 17, 22, 24, 25, 26, 27, 29, 30, 31, 32, 34, 35, 36, 37, 39, 40, 42, 47, 49, 52, 55, 58, 60, 61, 62, 63], "see": 71, "sequenti": 81, "set": [64, 65, 68, 69, 73, 75, 76, 78, 81], "space": 72, "subdomain": 32, "surrog": [65, 68, 69, 71, 73, 75, 76, 78, 80, 81], "surrogate_model": [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 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], "tabl": 71, "theori": [], "train": [64, 65, 68, 69, 73, 75, 76, 78, 80, 81], "tutori": 81, "uncertainti": 81, "update_precis": 56, "user": 77, "valid": 71, "vblinearregress": 26, "within_rang": 17}})
\ No newline at end of file
diff --git a/docs/build/html/tutorial.html b/docs/build/html/tutorial.html
index 2cf29844b..083bf46bb 100644
--- a/docs/build/html/tutorial.html
+++ b/docs/build/html/tutorial.html
@@ -3,7 +3,7 @@
<head><meta charset="utf-8"/>
<meta name="viewport" content="width=device-width,initial-scale=1"/>
<meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
-<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="EXAMPLES" href="examples.html" /><link rel="prev" title="Postprocessing, Bayesian inference and Bayesian model comparison" href="post_description.html" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="EXAMPLES" href="examples.html" /><link rel="prev" title="Bayesian inference and multi-model comparison" href="bayes_description.html" />
<!-- Generated with Sphinx 7.3.7 and Furo 2023.09.10 -->
<title>TUTORIAL - bayesvalidrox 1.0.0 documentation</title>
@@ -166,8 +166,11 @@
<ul class="current">
<li class="toctree-l1 has-children"><a class="reference internal" href="packagedescription.html">USER GUIDE</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of USER GUIDE</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="input_description.html">Priors, input space and experimental design</a></li>
+<li class="toctree-l2"><a class="reference internal" href="model_description.html">Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="surrogate_description.html">Training surrogate models</a></li>
-<li class="toctree-l2"><a class="reference internal" href="post_description.html">Postprocessing, Bayesian inference and Bayesian model comparison</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 current current-page"><a class="current reference internal" href="#">TUTORIAL</a></li>
@@ -698,14 +701,14 @@ plots of posterior predictions if wanted.</p>
</div>
<svg class="furo-related-icon"><use href="#svg-arrow-right"></use></svg>
</a>
- <a class="prev-page" href="post_description.html">
+ <a class="prev-page" href="bayes_description.html">
<svg class="furo-related-icon"><use href="#svg-arrow-right"></use></svg>
<div class="page-info">
<div class="context">
<span>Previous</span>
</div>
- <div class="title">Postprocessing, Bayesian inference and Bayesian model comparison</div>
+ <div class="title">Bayesian inference and multi-model comparison</div>
</div>
</a>
diff --git a/docs/website/.gitlab-ci.yml b/docs/website/.gitlab-ci.yml
deleted file mode 100644
index 9c3215ef6..000000000
--- a/docs/website/.gitlab-ci.yml
+++ /dev/null
@@ -1,25 +0,0 @@
-stages:
- - build
- - deploy
-
-jupyter-build:
- stage: build
- image: python:slim
- script:
- - pip install -U jupyter-book
- - jupyter-book clean .
- - jupyter-book build .
- artifacts:
- paths:
- - _build/
-
-pages:
- stage: deploy
- image: busybox:latest
- script:
- - mv _build/html public
- artifacts:
- paths:
- - public
- rules:
- - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH
diff --git a/docs/website/README.md b/docs/website/README.md
deleted file mode 100644
index 847bc6c60..000000000
--- a/docs/website/README.md
+++ /dev/null
@@ -1,98 +0,0 @@
-Example Jupyter Book website using GitLab Pages.
-
-Learn more about GitLab Pages at https://about.gitlab.com/stages-devops-lifecycle/pages/ and the official
-documentation https://docs.gitlab.com/ce/user/project/pages/.
-
----
-
-<!-- START doctoc generated TOC please keep comment here to allow auto update -->
-<!-- DON'T EDIT THIS SECTION, INSTEAD RE-RUN doctoc TO UPDATE -->
-**Table of Contents** *generated with [DocToc](https://github.com/thlorenz/doctoc)*
-
-- [GitLab CI](#gitlab-ci)
-- [Building locally](#building-locally)
-- [GitLab User or Group Pages](#gitlab-user-or-group-pages)
-- [Did you fork this project?](#did-you-fork-this-project)
-- [Troubleshooting](#troubleshooting)
-
-<!-- END doctoc generated TOC please keep comment here to allow auto update -->
-
-## GitLab CI
-
-This project's static Pages are built by [GitLab CI/CD][ci], following the steps
-defined in [`.gitlab-ci.yml`](.gitlab-ci.yml):
-
-```bash
-# Full project: https://gitlab.com/pages/jupyterbook
-
-stages:
- - build
- - deploy
-
-jupyter-build:
- stage: build
- image: python:slim
- script:
- - pip install -U jupyter-book
- - jupyter-book clean .
- - jupyter-book build .
- artifacts:
- paths:
- - _build/
-
-pages:
- stage: deploy
- image: busybox:latest
- script:
- - mv _build/html public
- artifacts:
- paths:
- - public
- rules:
- - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH
-```
-
-## Building locally
-
-To work locally with this project, you'll have to follow the steps below:
-
-1. [Install JupyterLab](https://jupyter.org/install) JupyterLab
-1. [Install Jupyter Book](https://jupyterbook.org/start/overview.html#install-jupyter-book)
-1. Fork, clone or download this project
-1. `cd jupyter-book-example` -- the repository contains already an example of a
- book's source files, as described at [Jupyter Book > Create your book’s source files](https://jupyterbook.org/start/create.html#create-your-books-source-files)
-1. Work on it... see for example [Jupyter Book > Structure and organize your content](https://jupyterbook.org/basics/organize.html)
-1. Make a commit
-1. See the book published online at
-
-Read more at Jupyter Book's [Introduction](https://jupyterbook.org/intro.html).
-
-## GitLab User or Group Pages
-
-To use this project as your user/group website, you will need one additional
-step: just rename your project to `namespace.gitlab.io`, where `namespace` is
-your `username` or `groupname`. This can be done by navigating to your
-project's **Settings**.
-
-## Did you fork this project?
-
-If you forked this project for your own use, please go to your project's
-**Settings** and remove the forking relationship, which won't be necessary
-unless you want to contribute back to the upstream project.
-
-## Troubleshooting
-
-1. CSS is missing! That means two things:
-
- Either that you have wrongly set up the CSS URL in your templates, or
- your static generator has a configuration option that needs to be explicitly
- set in order to serve static assets under a relative URL.
-
-[ci]: https://about.gitlab.com/gitlab-ci/
-[jupyter-book]: http://jupyterbook.org
-[install]: https://jupyterbook.org/start/overview.html#install-jupyter-book
-[documentation]: https://jupyterbook.org/intro.html
-
-----
-
-Forked from @NikosAlexandris -- Thank you @stingrayza
diff --git a/docs/website/_config.yml b/docs/website/_config.yml
deleted file mode 100644
index bf20ab421..000000000
--- a/docs/website/_config.yml
+++ /dev/null
@@ -1,52 +0,0 @@
-# Book settings
-# Learn more at https://jupyterbook.org/customize/config.html
-
-title: BayesValidRox
-author: The Jupyter Book Community
-logo: /home/farid/scientific/bayesian-validation/docs/logo/bayesvalidrox-logos.jpeg
-
-# Force re-execution of notebooks on each build.
-# See https://jupyterbook.org/content/execute.html
-execute:
- execute_notebooks: force
-
-# Define the name of the latex output file for PDF builds
-latex:
- latex_documents:
- targetname: book.tex
-
-# Add a bibtex file so that we can create citations
-bibtex_bibfiles:
- - references.bib
-
-# Information about where the book exists on the web
-repository:
- url: https://git.iws.uni-stuttgart.de/inversemodeling/bayesian-validation # Online location of your book
- path_to_book: docs # Optional path to your book, relative to the repository root
- branch: master # Which branch of the repository should be used when creating links (optional)
-
-# Add GitHub buttons to your book
-# See https://jupyterbook.org/customize/config.html#add-a-link-to-your-repository
-html:
- use_issues_button: true
- use_repository_button: true
-
-# To have “bare†LaTeX rendered in HTML, enable the amsmath extension
-parse:
- myst_enable_extensions:
- # don't forget to list any other extensions you want enabled,
- # including those that are enabled by default!
- - amsmath
- - dollarmath
-
-# Manually specify extra files/folders to be included in a website
-sphinx:
- extra_extensions:
- - 'sphinx.ext.autodoc'
- - 'sphinx.ext.autosummary'
- - 'sphinx.ext.napoleon'
- - 'sphinx.ext.viewcode'
- config:
- autosummary_generate: True
- config:
- html_extra_path: ['bayesvalidrox/']
diff --git a/docs/website/_toc.yml b/docs/website/_toc.yml
deleted file mode 100644
index 7bb8c7ff4..000000000
--- a/docs/website/_toc.yml
+++ /dev/null
@@ -1,14 +0,0 @@
-# Table of contents
-# Learn more at https://jupyterbook.org/customize/toc.html
-
-format: jb-book
-root: intro
-parts:
- - caption: Name of Part 1
- chapters:
- - file: markdown
- - file: notebooks
- - file: example_analytical_function
- - caption: API
- chapters:
- - file: index_api
diff --git a/docs/website/api.rst b/docs/website/api.rst
deleted file mode 100644
index 00d08f849..000000000
--- a/docs/website/api.rst
+++ /dev/null
@@ -1,7 +0,0 @@
-API Reference
-=============
-.. autosummary::
- :toctree: _autosummary
- :recursive:
-
- bayesvalidrox
diff --git a/docs/website/bayesvalidrox-logo.jpeg b/docs/website/bayesvalidrox-logo.jpeg
deleted file mode 100644
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diff --git a/docs/website/example_analytical_function.ipynb b/docs/website/example_analytical_function.ipynb
deleted file mode 100644
index 560972fcc..000000000
--- a/docs/website/example_analytical_function.ipynb
+++ /dev/null
@@ -1,892 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "id": "13c8e941",
- "metadata": {},
- "source": [
- "# Example: Surrogate Model"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "de58892b",
- "metadata": {},
- "source": [
- "In this example, we train a surrogate model via the `bayesvalidrox` package. We aim at training a Polynomial Chaos Expansion to a simple analytical function. \n",
- "The PCE representation of the computational model $M$ provides the dependence of this model on the uncertain model's parameters $\\mathbf{\\theta}$ using projection onto an orthonormal polynomial basis. It could be also seen as a linear regression that includes linear combinations of a fixed set of nonlinear functions with respect to the input variables, known as polynomial basis function"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "2890d7ef",
- "metadata": {},
- "source": [
- "\\begin{equation}\n",
- "\\label{eq:PCE_Trunc}\n",
- " M(x,y,z,t, \\mathbf{\\theta}) \\approx \\sum_{\\mathbf{\\alpha} \\in \\mathcal{A} } c_{\\mathbf{\\alpha}} (x,y,z,t) \\Psi_{\\mathbf{\\alpha}}(\\mathbf{\\theta}) \\, .\n",
- "\\end{equation}"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "bccdaebc",
- "metadata": {},
- "source": [
- "Here, $x,y,z,t$ are the spatial and temporal components of the quantity of interest, $\\mathbf{\\theta}$ is the vector of the $N$ uncertain parameters of model $M$, $c_{\\mathbf{\\alpha}}(x,y,z,t) \\in \\mathbb{R}$ are the corresponding expansion coefficients that are functions of space and time, and $\\Psi_{\\mathbf{\\alpha}}(\\mathbf{\\theta})$ represents multivariate polynomials orthogonal with respect to a multi-index $\\mathbf{\\alpha}$. "
- ]
- },
- {
- "cell_type": "markdown",
- "id": "50023bea",
- "metadata": {},
- "source": [
- "The latter represents the combinatoric information how to enumerate all possible products of $N$ individual univariate basis functions with respect to the total degree of expansions less or equal to polynomial degree $d$:"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "538c43c8",
- "metadata": {},
- "source": [
- "\\begin{equation}\n",
- "\\label{eq:truncation}\n",
- "\\begin{split}\n",
- " \\mathcal{A}^{N, d} = \\{ \\alpha \\in \\mathbb{N}^{N} \\ : \\ |\\alpha|\\leq d\\} \\, , \\qquad\n",
- " \\text{card} \\ \\mathcal{A}^{N, d} \\equiv P = \\binom{N+d}{d}.\n",
- "\\end{split}\n",
- "\\end{equation}"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "b22c0ccb",
- "metadata": {},
- "source": [
- "The multivariate polynomials $\\Psi_{\\alpha}(\\mathbf{\\theta})$ are comprised of the tensor product of univariate polynomials"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "41eeb9d3",
- "metadata": {},
- "source": [
- "\\begin{equation}\n",
- "\\label{eq:Psi}\n",
- " \\Psi_{\\alpha}(\\mathbf{\\theta}_k) := \\prod_{i=1}^{N_k} \\psi_{\\alpha_i}^{(i)}(\\mathbf{\\theta}_{k,i}) \\, ,\n",
- "\\end{equation}"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "860cbcbd",
- "metadata": {},
- "source": [
- "where the univariate orthonormal polynomials $\\psi_{\\alpha_i}^{(i)}(\\mathbf{\\theta}_{i})$ must satisfy "
- ]
- },
- {
- "cell_type": "markdown",
- "id": "459de9cc",
- "metadata": {},
- "source": [
- "\\begin{equation}\n",
- "\\label{eq:univPsi}\n",
- " \\langle \\psi_j^{(i)}(\\mathbf{\\theta}_{k,i}), \\psi_l^{(i)}(\\mathbf{\\theta}_{k,i}) \\rangle := \\int_{\\Theta_{k,i}} \\psi_j^{(i)}(\\mathbf{\\theta}_{k,i}) \\psi_l^{(i)}(\\mathbf{\\theta}_{k,i}) f_{\\Theta_{k,i}} (\\mathbf{\\theta}_{k,i})d \\mathbf{\\theta}_{k,i} = \\delta_{j l} \\, .\n",
- "\\end{equation}"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "34403fc6",
- "metadata": {},
- "source": [
- "Here, $i$ represents the input variable with respect to which the polynomials are orthogonal as well as the corresponding polynomial family, $j$ and $l$ are the corresponding polynomial degree, $f_{\\Theta_{i}}(\\mathbf{\\theta}_{i})$ is the $i$th-input marginal distribution and $\\delta_{j l}$ is the Kronecker delta.\n",
- "We use an arbitrary polynomial chaos expansion (aPCE), introduced by [Oladyshkin & Nowak (2012)](https://www.sciencedirect.com/science/article/pii/S0951832012000853?casa_token=pbisUgY4niQAAAAA:8WsqMi1mCyfUIJ3GnFGdv6FXFA6a4g8MB75kjGGdEvocV64cd4E8LxcSh8_fwZTeI2ONlUalq_8), that can operate with probability measures that may be implicitly and incompletely defined via their statistical moments. Using aPCE, one can build the multivariate orthonormal polynomials even in the absence of the exact probability density function $f_{\\Theta}(\\theta)$"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "3bd3feba",
- "metadata": {},
- "source": [
- "In this tutorial, we use an extension of aPCE as Bayesian sparse arbitrary polynomial chaos (BsaPCE) representation. This method computes the coefficients $c_\\alpha$ in a Bayesian setting via a so-called Bayesian sparse learning approach, introduced by [Tipping (2001)](https://www.jmlr.org/papers/volume1/tipping01a/tipping01a.pdf?ref=https://githubhelp.com)."
- ]
- },
- {
- "cell_type": "markdown",
- "id": "6a291027",
- "metadata": {},
- "source": [
- "The posterior distribution of the expansion coefficients, conditioned on the model responses $\\mathrm{\\mathbf{Y}}$ resulting from the training sets $\\mathbf{X}$, is given by the combination of a Gaussian likelihood and a Gaussian prior distribution over the unknown expansion coefficients $\\mathbf{c}$ according to Bayes' rule. Then, the posterior of the expansion coefficients given the model responses $\\mathrm{\\mathbf{Y}}$ and values of hyper-parameters $\\mathbf{\\alpha}$ and $\\beta$ describing the Gauss process, can take the following form"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "3127c49a",
- "metadata": {},
- "source": [
- "\\begin{equation}\n",
- "\\label{eq:PCE_Posterior}\n",
- " p(\\mathrm{\\mathbf{c}}|\\mathbf{Y},\\mathbf{\\alpha}, \\beta) = \\frac{p(\\mathrm{\\mathbf{Y}}|\\mathbf{X},\\mathbf{c}, \\beta) p(\\mathbf{c}|\\mathbf{\\alpha})}{p(\\mathrm{\\mathbf{Y}}| \\mathbf{X}, \\mathbf{\\alpha} , \\beta)},\n",
- "\\end{equation}"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "46381c6d",
- "metadata": {},
- "source": [
- "which is also Gaussian defined by $\\mathcal{N}( \\mathbf{c}| \\mathbf{\\mu}, \\mathbf{\\Sigma})$ with"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "515d47e6",
- "metadata": {},
- "source": [
- "\\begin{equation}\n",
- "\\label{eq:PCE_Posterior_moments}\n",
- " \\mathbf{\\mu} = \\beta \\mathbf{\\Sigma} \\mathbf{\\Psi}^{\\top} \\mathrm{\\mathbf{Y}} \\, , \\qquad\n",
- " \\mathbf{\\Sigma} = \\left(\\mathbf{A}+ \\mathbf{\\Psi}^{\\top} \\beta \\mathbf{\\Psi} \\right)^{-1} \\, .\n",
- "\\end{equation}"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "ce4636d9",
- "metadata": {},
- "source": [
- "Here, $\\mathbf{\\Psi}$ is the design matrix of size $E \\times N$ with elements $\\Psi_{ni}=\\psi_i(x_n)$, where $E$ represents the number of model evaluations using the training samples, and $\\mathbf{A}=\\mathrm{diag}(\\alpha_i)$. The values of $\\mathbf{\\alpha}$ and $\\beta$ can be determined via type-II maximum likelihood [Berger (2013)](https://books.google.com/books?hl=en&lr=&id=1CDaBwAAQBAJ&oi=fnd&pg=PA1&dq=Statistical+decision+theory+and+Bayesian+analysis.++berger+2013&ots=LMulrdTL3O&sig=xMTVRCVf5scWBLQi98BgUie5d-M)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "c50a317d",
- "metadata": {},
- "source": [
- "## Problem description: Analytical function"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "d13b9da3",
- "metadata": {},
- "source": [
- "This test shows a surrogate-assisted Bayesian calibration of a time dependent non-linear analytical function of ten ($n=10$) uncertain parameters $\\omega=\\{\\omega_1, ..., \\omega_n\\}$, which reads as:"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "b715ea87",
- "metadata": {},
- "source": [
- "\\begin{equation}\n",
- "\\mathbf{y}(\\boldsymbol{\\omega}, t)=\\left(\\omega_{1}^{2}+\\omega_{2}-1\\right)^{2}+\\omega_{1}^{2}+0.1 \\omega_{1} \\exp \\left(\\omega_{2}\\right)-2 \\omega_{1} \\sqrt{0.5 t}+1+\\sum_{i=2}^{n} \\frac{\\omega_{i}^{3}}{i}\n",
- "\\end{equation}"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "6625cdf6",
- "metadata": {},
- "source": [
- "where the prior parameter distribution $p(\\omega)$ is considered to be independent and uniform with $\\omega_i \\sim \\mathcal{U} (-5, 5)$."
- ]
- },
- {
- "cell_type": "markdown",
- "id": "efe8f59c",
- "metadata": {},
- "source": [
- "## Import necessary libraries"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "id": "31b60d45",
- "metadata": {},
- "outputs": [],
- "source": [
- "import numpy as np\n",
- "import pandas as pd\n",
- "import sys\n",
- "import joblib\n",
- "from IPython.display import IFrame"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "6d44d5af",
- "metadata": {},
- "source": [
- "## Define the model with PyLinkForwardModel"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "bf3f4dfe",
- "metadata": {},
- "source": [
- "We use the`PyLinkForwardModel`object for this purpose. Fistly, we are going to import the `bayesvalidrox` package and then, we instantiate the `PyLinkForwardModel` object."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "id": "25a3b65a",
- "metadata": {},
- "outputs": [],
- "source": [
- "from bayesvalidrox import PyLinkForwardModel\n",
- "Model = PyLinkForwardModel()"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "0452955f",
- "metadata": {},
- "source": [
- "Next, we will pass the `link_type`, `name` and `py_file` variables to the `Model` object. Since the analytical function is implmented as a python function in a separate file, we only need to pass it's name (without `.py` extension) to the object variable `py_file`. Note that the function name in the python script should match that of the script. For models implemented as a separate python file, the `link_type` is `Function` to be given as a string. The `name` variable takes any user defined string."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "id": "f26dbacd",
- "metadata": {},
- "outputs": [],
- "source": [
- "Model.link_type = 'Function'\n",
- "Model.py_file = 'analytical_function'\n",
- "Model.name = 'AnalyticFunc'"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "e12ef2ab",
- "metadata": {},
- "source": [
- "The model output name is defined as follows:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "id": "c2778a83",
- "metadata": {},
- "outputs": [],
- "source": [
- "Model.Output.names = ['Z'] # As a list of strings"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "d4106fb6",
- "metadata": {},
- "source": [
- "**Bonus**: For this example, we have a Monte-Carlo reference solution for the first moements (mean and standard deviation) of the analytical function. The numpy (`*.npy`) files can be found in the `data\\` directory. We will discuss the first two moments with our estimate moments using the surrogate model. These values can be passed in a form of a dictionary to the object variable `mc_reference`."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "id": "9dc9e177",
- "metadata": {},
- "outputs": [],
- "source": [
- "Model.mc_reference = {}\n",
- "Model.mc_reference['Time [s]'] = np.arange(0, 10, 1.) / 9\n",
- "Model.mc_reference['mean'] = np.load(f\"data/mean_2.npy\")\n",
- "Model.mc_reference['std'] = np.load(f\"data/std_2.npy\")"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "c2c68eee",
- "metadata": {},
- "source": [
- "## Define probablistic input model"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "af7f7d8f",
- "metadata": {},
- "source": [
- "Now, we define the distribution of the model inputs. `bayesvalidrox` accepts the definition in two ways: by defining the distribution directly or by passing available data. The latter is handy, when little information is available on the parameters or they do not follow any typical distributions. We will use the second option and read the input parameters form a numpy file in the `data/` directory."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "id": "f1d2deb0",
- "metadata": {},
- "outputs": [],
- "source": [
- "# Import and instantiate the input object\n",
- "from bayesvalidrox import Input\n",
- "Inputs = Input()\n",
- "\n",
- "# Option I: Define distribution directy with their name, type and parameters \n",
- "\n",
- "# First parameter\n",
- "Inputs.addMarginals()\n",
- "Inputs.Marginals[0].name = '$X_1$'\n",
- "Inputs.Marginals[0].dist_type = 'unif'\n",
- "Inputs.Marginals[0].parameters = [-5, 5]\n",
- "\n",
- "# Second parameter\n",
- "Inputs.addMarginals()\n",
- "Inputs.Marginals[1].name = '$X_2$'\n",
- "Inputs.Marginals[1].dist_type = 'unif'\n",
- "Inputs.Marginals[1].parameters = [-5, 5]\n",
- "\n",
- "# ----------------------------------------------------------------------------\n",
- "\n",
- "# Option II: Pass available data for input parameters\n",
- "# inputParams = np.load('data/InputParameters_2.npy')\n",
- "\n",
- "# First parameter\n",
- "# Inputs.addMarginals()\n",
- "# Inputs.Marginals[0].name = '$X_1$'\n",
- "# Inputs.Marginals[0].input_data = inputParams[:, 0]\n",
- "\n",
- "# Second parameter\n",
- "# Inputs.addMarginals()\n",
- "# Inputs.Marginals[1].name = '$X_2$'\n",
- "# Inputs.Marginals[1].input_data = inputParams[:, 1]"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "10ff4b23",
- "metadata": {},
- "source": [
- "## Define surrogate (meta) model"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "d0e8a911",
- "metadata": {},
- "source": [
- "In this example, we use a Polynomial Chaos Expansion (PCE) as our meta model. Like before, we need to import the `MetaModel` object from `bayesvalidrox` package and instantiate a meta-model object. This object, however, accepts the input object (`Input`) as an argument."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "id": "7256d8f0",
- "metadata": {},
- "outputs": [],
- "source": [
- "from bayesvalidrox import MetaModel\n",
- "MetaModelOpts = MetaModel(Inputs)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "aa7756f5",
- "metadata": {},
- "source": [
- "Let us define now the meta model type, the regression type, degree of the polynomials and the trunction norm `q_norm` which lies between 0 and 1. This parameter defines hyperbolic truncation scheme. As for `meta_model_type`, there are two PCE implementations available in `bayesvalidrox`, namely generalized PCE (`PCE`) [Xiu & Karniadakis (2002)](https://doi.org/10.1137/S1064827501387826) or its arbitrary extension (`aPCE`) [Oladyshkin & Nowak (2012)](https://doi.org/10.1016/j.ress.2012.05.002)."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "id": "39a2ece3",
- "metadata": {},
- "outputs": [],
- "source": [
- "# Select your metamodel method\n",
- "# Options: PCE and aPCE\n",
- "MetaModelOpts.meta_model_type = 'aPCE'\n",
- "\n",
- "# Select the regression method for calculation of the PCE coefficients:\n",
- "# 1)OLS: Ordinary Least Square 2)BRR: Bayesian Ridge Regression\n",
- "# 3)LARS: Least angle regression 4)ARD: Bayesian ARD Regression\n",
- "# 5)FastARD: Fast Bayesian ARD Regression\n",
- "# 6)VBL: Variational Bayesian Learning\n",
- "# 7)EBL: Emperical Bayesian Learning\n",
- "MetaModelOpts.pce_reg_method = 'FastARD'\n",
- "\n",
- "\n",
- "# Specify the polynomial degree to be compared by the adaptive algorithm:\n",
- "# The degree with the lowest Leave-One-Out cross-validation (LOO)\n",
- "# error (or the highest score=1-LOO)estimator is chosen as the final\n",
- "# metamodel. pce_deg accepts degree as a scalar or a range.\n",
- "MetaModelOpts.pce_deg = np.arange(9)\n",
- "\n",
- "# Hyperbolic truncation scheme 0<q<1 (default=1)\n",
- "MetaModelOpts.pce_q_norm = 0.75"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "a3048f38",
- "metadata": {},
- "source": [
- "After defining the metamodel type, we need to define the so-called experimental design (ExpDesign). ExpDesign basically provides instruction on how to samplie the input parameter space."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "id": "f8e1bf2d",
- "metadata": {},
- "outputs": [],
- "source": [
- "# ------------------------------------------------\n",
- "# ------ Experimental Design Configuration -------\n",
- "# ------------------------------------------------\n",
- "MetaModelOpts.add_ExpDesign()\n",
- "\n",
- "# One-shot (normal) or Sequential Adaptive (sequential) Design\n",
- "MetaModelOpts.ExpDesign.Method = 'normal'\n",
- "MetaModelOpts.ExpDesign.n_init_samples = 100\n",
- "\n",
- "# Sampling methods\n",
- "# 1) random 2) latin_hypercube 3) sobol 4) halton 5) hammersley 6) korobov\n",
- "# 7) chebyshev(FT) 8) grid(FT) 9) nested_grid(FT) 10)user\n",
- "MetaModelOpts.ExpDesign.sampling_method = 'latin_hypercube'"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "8f7cd8dc",
- "metadata": {},
- "source": [
- "Now, we can start training the surrogate (meta-) model by using the `create_metamodel` method and passing the model object as the only argument."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "id": "82fffca5",
- "metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "Computing orth. polynomial coeffs: 100%|##########| 2/2 [00:03<00:00, 1.71s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
- " Now the forward model needs to be run!\n",
- "\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "\n",
- "Running forward model : 100%|██████████| 100/100 [00:00<00:00, 7893.97it/s]\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
- ">>>> Training the aPCE metamodel started. <<<<<<\n",
- "\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "Fitting regression: 100%|██████████| 1/1 [00:05<00:00, 5.11s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
- ">>>> Training the aPCE metamodel sucessfully completed. <<<<<<\n",
- "\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "\n"
- ]
- }
- ],
- "source": [
- "# Train the meta model\n",
- "PCEModel = MetaModelOpts.create_metamodel(Model)\n",
- "\n",
- "# Save PCE models as pkl object for further deployment for example on a cloud\n",
- "with open(f'PCEModel_{Model.name}.pkl', 'wb') as output:\n",
- " joblib.dump(PCEModel, output, 2)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "4b2b6a1b",
- "metadata": {},
- "source": [
- "## Post-processing"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "64ea5912",
- "metadata": {},
- "source": [
- "As before, we need to import the `PostProcessing` module of `bayesvalidrox` and instantiate it. Bear in mind that it accepts the meta-model object `PCEModel` as the only argument."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "id": "d51e4195",
- "metadata": {},
- "outputs": [],
- "source": [
- "from bayesvalidrox import PostProcessing\n",
- "PostPCE = PostProcessing(PCEModel)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "51aed43d",
- "metadata": {},
- "source": [
- "### Moment comparison"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "69de7856",
- "metadata": {},
- "source": [
- "Since the reference moments obtained from a Monte-Carlo simulation is available, we only need to call the `plotMoments` method from the PostProcessing object. This method generates a plot and stores it in `Outputs_PostProcessing_calib` directory."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "id": "96e85fb9",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- " <iframe\n",
- " width=\"900\"\n",
- " height=\"600\"\n",
- " src=\"./Outputs_PostProcessing_calib/Mean_Std_PCE.pdf\"\n",
- " frameborder=\"0\"\n",
- " allowfullscreen\n",
- " ></iframe>\n",
- " "
- ],
- "text/plain": [
- "<IPython.lib.display.IFrame at 0x7fe078460ee0>"
- ]
- },
- "execution_count": 12,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "text/plain": [
- "<Figure size 1728x1152 with 0 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Compute the moments and compare with the Monte-Carlo reference\n",
- "PostPCE.plotMoments()\n",
- "# Show the pdf\n",
- "IFrame(\"./Outputs_PostProcessing_calib/Mean_Std_PCE.pdf\", width=900, height=600)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "a6cf5333",
- "metadata": {},
- "source": [
- "### Validation of the metamodel"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "9d506ae2",
- "metadata": {},
- "source": [
- "Let us first visually compare the results of the metamodel and the original model, i.e. `Analyrical Function` for 3 randomly drawn samples for the prior parameter distribution. "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "id": "cfd42c02",
- "metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "Running forward model valid: 100%|██████████| 3/3 [00:00<00:00, 15015.41it/s]\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "\n",
- " <iframe\n",
- " width=\"900\"\n",
- " height=\"600\"\n",
- " src=\"./Outputs_PostProcessing_calib/Model_vs_PCEModel.pdf\"\n",
- " frameborder=\"0\"\n",
- " allowfullscreen\n",
- " ></iframe>\n",
- " "
- ],
- "text/plain": [
- "<IPython.lib.display.IFrame at 0x7fe0dc9e8ac0>"
- ]
- },
- "execution_count": 13,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "text/plain": [
- "<Figure size 1728x1152 with 0 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Plot to check validation visually.\n",
- "PostPCE.validMetamodel(nValidSamples=3)\n",
- "# Show the pdf\n",
- "IFrame(\"./Outputs_PostProcessing_calib/Model_vs_PCEModel.pdf\", width=900, height=600)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "3b39e05f",
- "metadata": {},
- "source": [
- "Another way to check the accuracy of the meta model is to use the `accuracyCheckMetaModel` method to show the Root Mean Square Error and the validation error. "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "id": "e2f83de2",
- "metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "Running forward model validSet: 100%|██████████| 200/200 [00:00<00:00, 8584.59it/s]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
- ">>>>> Errors of Z <<<<<\n",
- "\n",
- "Index | RMSE | Validation Error\n",
- "-----------------------------------\n",
- "1 | 4.415e-01 | 3.393e-08\n",
- "2 | 4.415e-01 | 3.399e-08\n",
- "3 | 4.415e-01 | 3.402e-08\n",
- "4 | 4.415e-01 | 3.404e-08\n",
- "5 | 4.415e-01 | 3.406e-08\n",
- "6 | 4.416e-01 | 3.408e-08\n",
- "7 | 4.418e-01 | 3.412e-08\n",
- "8 | 4.458e-01 | 3.475e-08\n",
- "9 | 4.410e-01 | 3.401e-08\n",
- "10 | 4.412e-01 | 3.405e-08\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "\n"
- ]
- }
- ],
- "source": [
- "# Compute and print RMSE error\n",
- "PostPCE.accuracyCheckMetaModel(nSamples=200)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "ef686ae7",
- "metadata": {},
- "source": [
- "### Global sensitivity analysis with Sobol indices"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "1ffecd15",
- "metadata": {},
- "source": [
- "Here, we analyze how the variability of the model response quantity (`Z`) is affected by the variability of each input variable or combinations thereof. Here, we use the so-called Sobol indices ([Sobol original paper](https://mae.ufl.edu/haftka/eoed/protected/Sobol%20Original%20Paper.pdf)), derived from a variance decomposition of model outputs in terms of contributions of each input parameter or combinations thereof. \n",
- "Using Sobol decomposition, one can describe the total variance of the model in terms of the sum of the summands' variances. Once the PC representation of the model is available, the expansion coefficients are simply gathered according to the dependency of each basis polynomial, square-summed and normalized"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "3e95b594",
- "metadata": {},
- "source": [
- "\\begin{equation}\n",
- "\\label{eq:pce-sobol-1st}\n",
- "\\begin{array}{l}\n",
- "S_{i_{1}, \\ldots, i_{s}}=\\frac{\\sum\\limits_{j=1}^{M} \\chi_{j} c_{j}^{2}}{\\sum\\limits_{j=1}^{M} c_{j}^{2}} \\, ,\\qquad\n",
- "\\chi_{j}=\\left\\{\\begin{array}{ll}\n",
- "1, & \\text { if } \\alpha_{j}^{k}>0, \\quad \\forall j \\in\\left(i_{1}, \\ldots, i_{s}\\right) \\\\[0.5em]\n",
- "0, & \\text { if } \\alpha_{j}^{k}=0, \\quad \\exists j \\in\\left(i_{1}, \\ldots, i_{s}\\right)\n",
- "\\end{array}\\right\\} \\, .\n",
- "\\end{array}\n",
- "\\end{equation}"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "a255fc43",
- "metadata": {},
- "source": [
- "Here, $S_{i_{1}, \\ldots, i_{s}}$ is the Sobol index that indicates what fraction of total variance of the response quantity can be traced back to the joint contributions of the parameters $\\theta_{i_{1}}, \\ldots, \\theta_{i_{s}}.$ The index selection operator $\\chi_{j}$ indicates where the chosen parameters $\\theta$ numbered as $i_{1}, \\ldots, i_{s}$ (i.e., $\\left.\\theta_{i_{1}}, \\ldots, \\theta_{i_{s}}\\right)$ have concurrent contributions to the variance within the overall expansion. Simply put, it selects all polynomial terms with the specified combination $i_{1}, \\ldots, i_{s}$ of model parameters."
- ]
- },
- {
- "cell_type": "markdown",
- "id": "025e4a83",
- "metadata": {},
- "source": [
- "A complementing measure for sensitivity analysis is the Sobol Total Index. It expresses the total contribution to the variance of model output due to the uncertainty of an individual parameter $\\theta_j$ in all cross-combinations with other parameters"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "9da5d910",
- "metadata": {},
- "source": [
- "\\begin{equation}\n",
- "\\label{eq:pce-sobol-total}\n",
- "S_{j}^{T}=\\sum_{\\left\\{i_{1}, \\ldots, i_{s}\\right\\} \\supset j} S_{i_{1}, \\ldots, i_{s}},\n",
- "\\end{equation}"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "59413b8c",
- "metadata": {},
- "source": [
- "where $S_{j}^{T}$ is simply a summation of all Sobol indices in which the variable $\\theta_j$ appears as univariate as well as joint influences.\n",
- "The Total Sobol indices sum to one, if input variables are independent. When dealing with correlated variables, however, this is not the case."
- ]
- },
- {
- "cell_type": "markdown",
- "id": "962bf769",
- "metadata": {},
- "source": [
- "To perform the sensitivity analysis with `bayesvalidrox` package, we need to call the `sobolIndicesPCE` of the `PostProcessing` object. This returns two dictionaries containing the single sobol indices and the total ones. Moreover, it plots the Total Sobol Indices and stores the plots in `pdf` format in `Outputs_PostProcessing_calib` directory."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 15,
- "id": "135173d6",
- "metadata": {
- "scrolled": true
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- " <iframe\n",
- " width=\"900\"\n",
- " height=\"600\"\n",
- " src=\"./Outputs_PostProcessing_calib/Sobol_indices.pdf\"\n",
- " frameborder=\"0\"\n",
- " allowfullscreen\n",
- " ></iframe>\n",
- " "
- ],
- "text/plain": [
- "<IPython.lib.display.IFrame at 0x7fe0b57d1340>"
- ]
- },
- "execution_count": 15,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "text/plain": [
- "<Figure size 1728x1152 with 0 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Plot the sobol indices\n",
- "sobol_cell, total_sobol = PostPCE.sobolIndicesPCE()\n",
- "# Show the pdf\n",
- "IFrame(\"./Outputs_PostProcessing_calib/Sobol_indices.pdf\", width=900, height=600)"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.9.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/docs/website/intro.md b/docs/website/intro.md
deleted file mode 100644
index 3b9b60d29..000000000
--- a/docs/website/intro.md
+++ /dev/null
@@ -1,16 +0,0 @@
-# Welcome to BayesValidRox Jupyter Book
-
-This is a small sample book to give you a feel for how book content is
-structured.
-
-```{note}
-Here is a note
-```
-
-And here is a code block:
-
-```
-e = mc^2
-```
-
-Check out the content pages bundled with this sample book to see more.
diff --git a/docs/website/markdown.md b/docs/website/markdown.md
deleted file mode 100644
index 1cc9c3420..000000000
--- a/docs/website/markdown.md
+++ /dev/null
@@ -1,125 +0,0 @@
-# Markdown Files
-
-Whether you write your book's content in Jupyter Notebooks (`.ipynb`) or
-in regular markdown files (`.md`), you'll write in the same flavor of markdown
-called **MyST Markdown**.
-
-## What is MyST?
-
-MyST stands for "Markedly Structured Text". It
-is a slight variation on a flavor of markdown called "CommonMark" markdown,
-with small syntax extensions to allow you to write **roles** and **directives**
-in the Sphinx ecosystem.
-
-## What are roles and directives?
-
-Roles and directives are two of the most powerful tools in Jupyter Book. They
-are kind of like functions, but written in a markup language. They both
-serve a similar purpose, but **roles are written in one line**, whereas
-**directives span many lines**. They both accept different kinds of inputs,
-and what they do with those inputs depends on the specific role or directive
-that is being called.
-
-### Using a directive
-
-At its simplest, you can insert a directive into your book's content like so:
-
-````
-```{mydirectivename}
-My directive content
-```
-````
-
-This will only work if a directive with name `mydirectivename` already exists
-(which it doesn't). There are many pre-defined directives associated with
-Jupyter Book. For example, to insert a note box into your content, you can
-use the following directive:
-
-````
-```{note}
-Here is a note
-```
-````
-
-This results in:
-
-```{note}
-Here is a note
-```
-
-In your built book.
-
-For more information on writing directives, see the
-[MyST documentation](https://myst-parser.readthedocs.io/).
-
-
-### Using a role
-
-Roles are very similar to directives, but they are less-complex and written
-entirely on one line. You can insert a role into your book's content with
-this pattern:
-
-```
-Some content {rolename}`and here is my role's content!`
-```
-
-Again, roles will only work if `rolename` is a valid role's name. For example,
-the `doc` role can be used to refer to another page in your book. You can
-refer directly to another page by its relative path. For example, the
-role syntax `` {doc}`intro` `` will result in: {doc}`intro`.
-
-For more information on writing roles, see the
-[MyST documentation](https://myst-parser.readthedocs.io/).
-
-
-### Adding a citation
-
-You can also cite references that are stored in a `bibtex` file. For example,
-the following syntax: `` {cite}`holdgraf_evidence_2014` `` will render like
-this: {cite}`holdgraf_evidence_2014`.
-
-Moreoever, you can insert a bibliography into your page with this syntax:
-The `{bibliography}` directive must be used for all the `{cite}` roles to
-render properly.
-For example, if the references for your book are stored in `references.bib`,
-then the bibliography is inserted with:
-
-````
-```{bibliography}
-```
-````
-
-Resulting in a rendered bibliography that looks like:
-
-```{bibliography}
-```
-
-
-### Executing code in your markdown files
-
-If you'd like to include computational content inside these markdown files,
-you can use MyST Markdown to define cells that will be executed when your
-book is built. Jupyter Book uses *jupytext* to do this.
-
-First, add Jupytext metadata to the file. For example, to add Jupytext metadata
-to this markdown page, run this command:
-
-```
-jupyter-book myst init markdown.md
-```
-
-Once a markdown file has Jupytext metadata in it, you can add the following
-directive to run the code at build time:
-
-````
-```{code-cell}
-print("Here is some code to execute")
-```
-````
-
-When your book is built, the contents of any `{code-cell}` blocks will be
-executed with your default Jupyter kernel, and their outputs will be displayed
-in-line with the rest of your content.
-
-For more information about executing computational content with Jupyter Book,
-see [The MyST-NB documentation](https://myst-nb.readthedocs.io/).
diff --git a/docs/website/notebooks.ipynb b/docs/website/notebooks.ipynb
deleted file mode 100644
index 4974f3327..000000000
--- a/docs/website/notebooks.ipynb
+++ /dev/null
@@ -1,122 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Content with notebooks\n",
- "\n",
- "You can also create content with Jupyter Notebooks. This means that you can include\n",
- "code blocks and their outputs in your book.\n",
- "\n",
- "## Markdown + notebooks\n",
- "\n",
- "As it is markdown, you can embed images, HTML, etc into your posts!\n",
- "\n",
- "\n",
- "\n",
- "You can also $add_{math}$ and\n",
- "\n",
- "$$\n",
- "math^{blocks}\n",
- "$$\n",
- "\n",
- "or\n",
- "\n",
- "$$\n",
- "\\begin{aligned}\n",
- "\\mbox{mean} la_{tex} \\\\ \\\\\n",
- "math blocks\n",
- "\\end{aligned}\n",
- "$$\n",
- "\n",
- "But make sure you \\$Escape \\$your \\$dollar signs \\$you want to keep!\n",
- "\n",
- "## MyST markdown\n",
- "\n",
- "MyST markdown works in Jupyter Notebooks as well. For more information about MyST markdown, check\n",
- "out [the MyST guide in Jupyter Book](https://jupyterbook.org/content/myst.html),\n",
- "or see [the MyST markdown documentation](https://myst-parser.readthedocs.io/en/latest/).\n",
- "\n",
- "## Code blocks and outputs\n",
- "\n",
- "Jupyter Book will also embed your code blocks and output in your book.\n",
- "For example, here's some sample Matplotlib code:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "from matplotlib import rcParams, cycler\n",
- "import matplotlib.pyplot as plt\n",
- "import numpy as np\n",
- "plt.ion()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Fixing random state for reproducibility\n",
- "np.random.seed(19680801)\n",
- "\n",
- "N = 10\n",
- "data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]\n",
- "data = np.array(data).T\n",
- "cmap = plt.cm.coolwarm\n",
- "rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))\n",
- "\n",
- "\n",
- "from matplotlib.lines import Line2D\n",
- "custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),\n",
- " Line2D([0], [0], color=cmap(.5), lw=4),\n",
- " Line2D([0], [0], color=cmap(1.), lw=4)]\n",
- "\n",
- "fig, ax = plt.subplots(figsize=(10, 5))\n",
- "lines = ax.plot(data)\n",
- "ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "There is a lot more that you can do with outputs (such as including interactive outputs)\n",
- "with your book. For more information about this, see [the Jupyter Book documentation](https://jupyterbook.org)"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.8.0"
- },
- "widgets": {
- "application/vnd.jupyter.widget-state+json": {
- "state": {},
- "version_major": 2,
- "version_minor": 0
- }
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/website/references.bib b/docs/website/references.bib
deleted file mode 100644
index 783ec6aa5..000000000
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----
----
-
-@inproceedings{holdgraf_evidence_2014,
- address = {Brisbane, Australia, Australia},
- title = {Evidence for {Predictive} {Coding} in {Human} {Auditory} {Cortex}},
- booktitle = {International {Conference} on {Cognitive} {Neuroscience}},
- publisher = {Frontiers in Neuroscience},
- author = {Holdgraf, Christopher Ramsay and de Heer, Wendy and Pasley, Brian N. and Knight, Robert T.},
- year = {2014}
-}
-
-@article{holdgraf_rapid_2016,
- title = {Rapid tuning shifts in human auditory cortex enhance speech intelligibility},
- volume = {7},
- issn = {2041-1723},
- url = {http://www.nature.com/doifinder/10.1038/ncomms13654},
- doi = {10.1038/ncomms13654},
- number = {May},
- journal = {Nature Communications},
- author = {Holdgraf, Christopher Ramsay and de Heer, Wendy and Pasley, Brian N. and Rieger, Jochem W. and Crone, Nathan and Lin, Jack J. and Knight, Robert T. and Theunissen, Frédéric E.},
- year = {2016},
- pages = {13654},
- file = {Holdgraf et al. - 2016 - Rapid tuning shifts in human auditory cortex enhance speech intelligibility.pdf:C\:\\Users\\chold\\Zotero\\storage\\MDQP3JWE\\Holdgraf et al. - 2016 - Rapid tuning shifts in human auditory cortex enhance speech intelligibility.pdf:application/pdf}
-}
-
-@inproceedings{holdgraf_portable_2017,
- title = {Portable learning environments for hands-on computational instruction using container-and cloud-based technology to teach data science},
- volume = {Part F1287},
- isbn = {978-1-4503-5272-7},
- doi = {10.1145/3093338.3093370},
- abstract = {© 2017 ACM. There is an increasing interest in learning outside of the traditional classroom setting. This is especially true for topics covering computational tools and data science, as both are challenging to incorporate in the standard curriculum. These atypical learning environments offer new opportunities for teaching, particularly when it comes to combining conceptual knowledge with hands-on experience/expertise with methods and skills. Advances in cloud computing and containerized environments provide an attractive opportunity to improve the effciency and ease with which students can learn. This manuscript details recent advances towards using commonly-Available cloud computing services and advanced cyberinfrastructure support for improving the learning experience in bootcamp-style events. We cover the benets (and challenges) of using a server hosted remotely instead of relying on student laptops, discuss the technology that was used in order to make this possible, and give suggestions for how others could implement and improve upon this model for pedagogy and reproducibility.},
- booktitle = {{ACM} {International} {Conference} {Proceeding} {Series}},
- author = {Holdgraf, Christopher Ramsay and Culich, A. and Rokem, A. and Deniz, F. and Alegro, M. and Ushizima, D.},
- year = {2017},
- keywords = {Teaching, Bootcamps, Cloud computing, Data science, Docker, Pedagogy}
-}
-
-@article{holdgraf_encoding_2017,
- title = {Encoding and decoding models in cognitive electrophysiology},
- volume = {11},
- issn = {16625137},
- doi = {10.3389/fnsys.2017.00061},
- abstract = {© 2017 Holdgraf, Rieger, Micheli, Martin, Knight and Theunissen. Cognitive neuroscience has seen rapid growth in the size and complexity of data recorded from the human brain as well as in the computational tools available to analyze this data. This data explosion has resulted in an increased use of multivariate, model-based methods for asking neuroscience questions, allowing scientists to investigate multiple hypotheses with a single dataset, to use complex, time-varying stimuli, and to study the human brain under more naturalistic conditions. These tools come in the form of “Encoding†models, in which stimulus features are used to model brain activity, and “Decoding†models, in which neural features are used to generated a stimulus output. Here we review the current state of encoding and decoding models in cognitive electrophysiology and provide a practical guide toward conducting experiments and analyses in this emerging field. Our examples focus on using linear models in the study of human language and audition. We show how to calculate auditory receptive fields from natural sounds as well as how to decode neural recordings to predict speech. The paper aims to be a useful tutorial to these approaches, and a practical introduction to using machine learning and applied statistics to build models of neural activity. The data analytic approaches we discuss may also be applied to other sensory modalities, motor systems, and cognitive systems, and we cover some examples in these areas. In addition, a collection of Jupyter notebooks is publicly available as a complement to the material covered in this paper, providing code examples and tutorials for predictive modeling in python. The aimis to provide a practical understanding of predictivemodeling of human brain data and to propose best-practices in conducting these analyses.},
- journal = {Frontiers in Systems Neuroscience},
- author = {Holdgraf, Christopher Ramsay and Rieger, J.W. and Micheli, C. and Martin, S. and Knight, R.T. and Theunissen, F.E.},
- year = {2017},
- keywords = {Decoding models, Encoding models, Electrocorticography (ECoG), Electrophysiology/evoked potentials, Machine learning applied to neuroscience, Natural stimuli, Predictive modeling, Tutorials}
-}
-
-@book{ruby,
- title = {The Ruby Programming Language},
- author = {Flanagan, David and Matsumoto, Yukihiro},
- year = {2008},
- publisher = {O'Reilly Media}
-}
diff --git a/docs/website/requirements.txt b/docs/website/requirements.txt
deleted file mode 100644
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--- a/docs/website/requirements.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-jupyter-book
-matplotlib
-numpy
--
GitLab