added notebook to .yml

Author: Ivan Shalashilin

docs/examples/oceanmodelling.py

@@ -1,7 +1,7 @@
 # %% [markdown]
 # # Gaussian Processes for Vector Fields and Ocean Current Modelling
 #
-# In this notebook, we use Gaussian processes to learn vector valued functions. We will be
+# In this notebook, we use Gaussian processes to learn vector-valued functions. We will be
 # recreating the results by [Berlinghieri et al. (2023)](https://arxiv.org/pdf/2302.10364.pdf) by an
 # application to real-world ocean surface velocity data, collected via surface drifters.
 #

mkdocs.yml

@@ -29,6 +29,7 @@ nav:
     - Stochastic sparse GPs: examples/collapsed_vi.py
     - Pathwise Sampling for Spatial Modelling: examples/spatial.py
     - Bayesian Optimisation: examples/bayesian_optimisation.py
+    - Multi-output GPs for Ocean Modelling: examples/oceanmodelling.py
   - 📖 Guides for customisation:
     - Kernels: examples/constructing_new_kernels.py
     - Likelihoods: examples/likelihoods_guide.py