Update docs/notebooks/qhsri-tutorial.pct.py

Co-authored-by: Hrvoje Stojic <hrvoje.stojic@protonmail.com>
secondmind-labs · Jul 19, 2023 · f836046 · f836046
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commit f836046
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diff --git a/docs/notebooks/qhsri-tutorial.pct.py b/docs/notebooks/qhsri-tutorial.pct.py
@@ -13,7 +13,7 @@
 # ---
 
 # %% [markdown]
-# # Batch HSRI
+# # Batching with Sharpe Ratio
 
 # %% [markdown]
 # Batch Hypervolume Sharpe Ratio Indicator (qHSRI) is a method proposed by Binois et al. (see <cite data-cite="binois2021portfolio"/>) for picking a batch of query points during Bayesian Optimisation. It makes use of the Sharpe Ratio, a portfolio selection method used in investment selection to carefully balance risk and reward.