From b2c5d29d2b8267cd80b6c416519eefe0e4f87695 Mon Sep 17 00:00:00 2001 From: Andre Henriques Date: Fri, 16 Feb 2024 14:08:50 +0000 Subject: [PATCH] Added a bit more to the report --- report/report.tex | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/report/report.tex b/report/report.tex index 789358a..fb7db13 100644 --- a/report/report.tex +++ b/report/report.tex @@ -192,6 +192,18 @@ \item{The user requests the classification or confirmation of an image} \end{itemize} + \subsection{Webapp} + + The goal of the project is to provide a software as a service platform for classification tasks with that in mind the service needs to have a way of controlling it. This will be achived with a web interface. + + The web-interface will have to manage: + \begin{itemize} + \item{User Data} + \item{Model Data} + \item{Dataset Data} + % TODO maybe resourse data e.i. the resourses the system is using to manage everthing + \end{itemize} + \subsection{Generation Models} The system requires the generation of models \ref{fig:expandable_models_generator}. Generating all models based on one single model would decrease the complexity of the system, but it would not guarantee success. @@ -218,10 +230,14 @@ The TP when training the model decides when the training is finished, this could be when the training time has finished or if the model accuracy is not substantially increasing within the last training rounds. - During the training process the TP needs to also cache the dataset being used, this is because to create one model, the system might try to generate more than on model and match the best of the generated models with + During the training process the TP needs to cache the dataset being used, this is because to create one model, the system might have to generate and train mre than one model, during this process if the daset is not chached then time is spend reloading the dataset into memory. + + \pagebreak \section{Design Choices} + +