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Detalhes bibliográficos
Autor principal: Carraro, Francesco
Formato: Recurso digital
Idioma:inglês
Publicado em: Zenodo 2026
Assuntos:
Acesso em linha:https://doi.org/10.5281/zenodo.19202939
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Sumário:
  • <p><strong>MLApp </strong>solution is a `.NET 10` machine-learning workflow centered on a console application and a set of supporting class  libraries.<br>Its primary purpose is to:</p> <ul> <li>read scientific or tabular input data</li> <li>validate runtime configuration</li> <li>run K-Means clustering through `ML.NET`</li> <li>generate grouped output artifacts</li> <li>publish an HTML report with optional map visualization</li> </ul> <p>The solution is structured as a thin executable layer plus reusable internal libraries for data handling, reading, ML execution, output writing, localization, and parallelization</p>