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Implementar o FlexCon-G #17

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karlianev opened this issue Nov 11, 2024 · 2 comments
Open

Implementar o FlexCon-G #17

karlianev opened this issue Nov 11, 2024 · 2 comments
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enhancement New feature or request

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@karlianev
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karlianev commented Nov 11, 2024 •
edited by ArthurGorgonio
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Descrição

O FlexCon-G (Flexible Confidence - Gradative) é uma extensão do algoritmo self-training que a cada iteração diminui 5% no valor do threshold.

Detalhes adicionais

Para tanto, deve-se usar o pseudocódigo disponível no overleaf.

Critérios de Aceite (DOD)

  • limiar (threshold) reduzindo a cada iteração com base em um valor pré-definido;
@ArthurGorgonio ArthurGorgonio added the enhancement New feature or request label Nov 11, 2024
@ArthurGorgonio
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@LuizMiguel4444 o código dessa issue está em qual branch? poderia mandar o link dela aqui, por favor.

@LuizMiguel4444
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LuizMiguel4444 commented Jan 8, 2025 •
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@ArthurGorgonio, segue o link: https://github.com/labican-ufrn/semi-supervised-learning/blob/flexconC/flexconG.py

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flexconC labican-ufrn/semi-supervised-learning
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@karlianev @ArthurGorgonio @LuizMiguel4444