fixes

report_thesis/src/sections/introduction.tex

@@ -49,6 +49,7 @@ \section{Introduction}\label{sec:introduction}
 Section~\ref{sec:proposed_approach} presents our proposed approach for optimizing pipeline configurations, detailing the selection of models and preprocessing techniques, our approach to data partitioning, validation and testing procedures, and the implementation of the hyperparameter optimization framework.
 Section~\ref{sec:methodology} presents the design and results of our experiments, as well as the analysis of the results.
 Our experiments include initial model selection, hyperparameter optimization, and the final evaluation of our proposed stacking ensemble.
+Section~\ref{sec:pyhat_contribution} discusses our contribution to \gls{pyhat} and how our work has been integrated into the toolset.
 Finally, Section~\ref{sec:conclusion} summarizes our key findings and contributions, while Section~\ref{sec:future_work} discusses potential future research directions and improvements.
 
 Due to the overlapping nature of terminology used in \gls{libs} data analysis and machine learning, we provide a list of terms in Table~\ref{tab:terms} to clarify their meaning.