Update report_thesis/src/sections/summary.tex

Co-authored-by: Ivikhostrup <[email protected]>

report_thesis/src/sections/summary.tex

@@ -39,7 +39,7 @@ \section*{Summary}
 
 \vspace{0.5em}
 
-Our study makes several key contributions.
+Our study makes two key contributions.
 Firstly, it provides a comprehensive catalog of machine learning models and preprocessing techniques for predicting major oxide compositions in \gls{libs} data.
 This catalog presents highly effective configurations, allowing for a more informed selection of models and preprocessing techniques in future work.
 Secondly, we contribute directly to the development of \gls{pyhat}, a Python-based toolset by the \gls{usgs} for machine learning and data analysis on hyperspectral data.