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add dagster stuff and conclusion

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Lukas Heiligenbrunner
2024-05-20 09:30:16 +02:00
parent 79d04ccef3
commit 8789f83f51
2 changed files with 5 additions and 1 deletions
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src/conclusionandoutlook.tex
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@@ -9,6 +9,9 @@ However, the higher the sampling space $\mathcal{S}$ the higher the gains but th
Another possible drawback is that reducing the uncertainty might not always be the best choice. Another possible drawback is that reducing the uncertainty might not always be the best choice.
If a system gets certain about samples that does not always mean this improves the accuracy, since it can simply be certain about the wrong thing. \cite{RubensRecSysHB2010} If a system gets certain about samples that does not always mean this improves the accuracy, since it can simply be certain about the wrong thing. \cite{RubensRecSysHB2010}
Active learning can have more influence if the model and the task is more complex and convergence is slower.
The more decision points are required the more active learning can help.
\subsection{Outlook}\label{subsec:outlook} \subsection{Outlook}\label{subsec:outlook}
Results might be different with a multiclass classification task and segmentation tasks. Results might be different with a multiclass classification task and segmentation tasks.

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src/experimentalresults.tex
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@@ -88,7 +88,8 @@ The combination of Dagster and Label-Studio is a good choice for building an act
Dagster provides a clean way to build pipelines and to keep track of the data in the Web UI\@. Dagster provides a clean way to build pipelines and to keep track of the data in the Web UI\@.
Label-Studio provides a great api which can be used to update the predictions of the model from the dagster pipeline. Label-Studio provides a great api which can be used to update the predictions of the model from the dagster pipeline.
% todo write stuff here Overall this option should just be chosen if the solution needs to be scalable and deployed in the cloud.
For smaller projects a simpler solution just in an notebook or as a simple python script might be more appropriate.
\subsection{Does balancing the learning samples improve performance?}\label{subsec:does-balancing-the-learning-samples-improve-performance?} \subsection{Does balancing the learning samples improve performance?}\label{subsec:does-balancing-the-learning-samples-improve-performance?}