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notebooks/Reaction_Optimization.py

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@@ -117,7 +117,7 @@ def _(mo):
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In this tutorial, we model the three different chemical parameters, that is, the solvent, the ligand, and the base as `CategoricalParameters`. Since we have access to the data, we extract the values for the parameters from there, and create the corresponding `CategoricalParameters`.
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/// admonition | Note
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As ligand, solvent and base are chemical substances, they should preferably be modeled using the [`SubstanceParameter`](https://emdgroup.github.io/baybe/0.14.2/_autosummary/baybe.parameters.substance.SubstanceParameter.html). This is not done in this example for simplicity. We refer to the `Chemical_Encodings` example for a tutorial on using `SubstanceParameter`s and a demonstration of its effect.
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As ligand, solvent and base are chemical substances, they should preferably be modeled using the [`SubstanceParameter`](https://emdgroup.github.io/baybe/0.14.2/_autosummary/baybe.parameters.substance.SubstanceParameter.html). This is not done in this example for simplicity. We refer to the `Chemical_Encodings` example for a tutorial on using `SubstanceParameter`s and a demonstration of its effect.
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///
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""")
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return

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