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Added ENVBO and updated docs
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mikediessner committed Feb 4, 2024
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1 change: 1 addition & 0 deletions .gitignore
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.ipynb_checkpoints/
nubopy.egg-info/
dist/
constrained_LHS.txt
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2 changes: 2 additions & 0 deletions docs/_build/html/_modules/index.html
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</ul>
<p class="caption" role="heading"><span class="caption-text">Package reference:</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../nubo.algorithms.html">Algorithms module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../nubo.acquisition.html">Acquisition module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../nubo.models.html">Surrogate module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../nubo.optimisation.html">Optimisation module</a></li>
Expand Down Expand Up @@ -220,6 +221,7 @@ <h1>All modules for which code is available</h1>
<ul><li><a href="nubo/acquisition/acquisition_function.html">nubo.acquisition.acquisition_function</a></li>
<li><a href="nubo/acquisition/analytical.html">nubo.acquisition.analytical</a></li>
<li><a href="nubo/acquisition/monte_carlo.html">nubo.acquisition.monte_carlo</a></li>
<li><a href="nubo/algorithms/environmental_conditions.html">nubo.algorithms.environmental_conditions</a></li>
<li><a href="nubo/models/fit.html">nubo.models.fit</a></li>
<li><a href="nubo/models/gaussian_process.html">nubo.models.gaussian_process</a></li>
<li><a href="nubo/optimisation/adam.html">nubo.optimisation.adam</a></li>
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</ul>
<p class="caption" role="heading"><span class="caption-text">Package reference:</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../../nubo.algorithms.html">Algorithms module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../../nubo.acquisition.html">Acquisition module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../../nubo.models.html">Surrogate module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../../nubo.optimisation.html">Optimisation module</a></li>
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1 change: 1 addition & 0 deletions docs/_build/html/_modules/nubo/acquisition/analytical.html
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</ul>
<p class="caption" role="heading"><span class="caption-text">Package reference:</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../../nubo.algorithms.html">Algorithms module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../../nubo.acquisition.html">Acquisition module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../../nubo.models.html">Surrogate module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../../nubo.optimisation.html">Optimisation module</a></li>
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9 changes: 5 additions & 4 deletions docs/_build/html/_modules/nubo/acquisition/monte_carlo.html
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</ul>
<p class="caption" role="heading"><span class="caption-text">Package reference:</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../../nubo.algorithms.html">Algorithms module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../../nubo.acquisition.html">Acquisition module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../../nubo.models.html">Surrogate module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../../nubo.optimisation.html">Optimisation module</a></li>
Expand Down Expand Up @@ -254,7 +255,7 @@ <h1>Source code for nubo.acquisition.monte_carlo</h1><div class="highlight"><pre
<span class="sd"> fix_base_samples : ``bool``</span>
<span class="sd"> Whether base samples used to compute Monte Carlo samples of</span>
<span class="sd"> acquisition function should be fixed for the optimisation step.</span>
<span class="sd"> If false (default) stochastic optimizer (Adam) have to be used. If</span>
<span class="sd"> If false (default) stochastic optimizer (Adam) has to be used. If</span>
<span class="sd"> true deterministic optimizer (L-BFGS-B, SLSQP) can be used.</span>
<span class="sd"> base_samples : ``NoneType`` or ``torch.Tensor``</span>
<span class="sd"> Base samples used to compute Monte Carlo samples drawn if</span>
Expand Down Expand Up @@ -284,7 +285,7 @@ <h1>Source code for nubo.acquisition.monte_carlo</h1><div class="highlight"><pre
<span class="sd"> fix_base_samples : ``bool``, optional</span>
<span class="sd"> Whether base samples used to compute Monte Carlo samples of</span>
<span class="sd"> acquisition function should be fixed for the optimisation step.</span>
<span class="sd"> If false (default) stochastic optimizer (Adam) have to be used. If</span>
<span class="sd"> If false (default) stochastic optimizer (Adam) has to be used. If</span>
<span class="sd"> true deterministic optimizer (L-BFGS-B, SLSQP) can be used.</span>
<span class="sd"> &quot;&quot;&quot;</span>

Expand Down Expand Up @@ -366,7 +367,7 @@ <h1>Source code for nubo.acquisition.monte_carlo</h1><div class="highlight"><pre
<span class="sd"> fix_base_samples : ``bool``</span>
<span class="sd"> Whether base samples used to compute Monte Carlo samples of</span>
<span class="sd"> acquisition function should be fixed for the optimisation step.</span>
<span class="sd"> If false (default) stochastic optimizer (Adam) have to be used. If</span>
<span class="sd"> If false (default) stochastic optimizer (Adam) has to be used. If</span>
<span class="sd"> true deterministic optimizer (L-BFGS-B, SLSQP) can be used.</span>
<span class="sd"> base_samples : ``NoneType`` or ``torch.Tensor``</span>
<span class="sd"> Base samples used to compute Monte Carlo samples drawn if</span>
Expand Down Expand Up @@ -395,7 +396,7 @@ <h1>Source code for nubo.acquisition.monte_carlo</h1><div class="highlight"><pre
<span class="sd"> fix_base_samples : ``bool``</span>
<span class="sd"> Whether base samples used to compute Monte Carlo samples of</span>
<span class="sd"> acquisition function should be fixed for the optimisation step.</span>
<span class="sd"> If false (default) stochastic optimizer (Adam) have to be used. If</span>
<span class="sd"> If false (default) stochastic optimizer (Adam) has to be used. If</span>
<span class="sd"> true deterministic optimizer (L-BFGS-B, SLSQP) can be used.</span>
<span class="sd"> base_samples : ``NoneType`` or ``torch.Tensor``</span>
<span class="sd"> Base samples used to compute Monte Carlo samples drawn if</span>
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