Update README.md

filippocastelli · Feb 1, 2019 · 2f5843a · 2f5843a
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@@ -9,10 +9,9 @@ The code is loosely inspired on the code from Chapter 18 of Machine Learning: An
 
 The only kernel available at the moment is a _squared exponential_ kernel, more kernels and custom kernel composition will be added in the future
 
-- update -
-kernel composition is already possible via custom function definitions: "soft" kernel composition is yet to be implemented.
+**update**: kernel composition is already possible via custom function definitions: "soft" kernel composition is yet to be implemented.
 
-Some basic parameter optimization is provided by `scipy.optimize`.
+Parameter optimization is provided by `scipy.optimize`.
 
 ## Dependencies
 GPnet demos require `networkx`, `pandas` , `numpy`, `matplotlib`, `scipy.optimize`, and `random` to work: nothing too exotic.