unconstrained model
[ˌʌnkənˈstreɪnd ˈmɑːdəl]
nounpl: unconstrained models
modelo sem restrições
1. A mathematical, statistical, or computational model that operates without limitations or constraints on its parameters, variables, or functional form
The unconstrained model allowed the algorithm to fit the data more flexibly, resulting in lower training error.
O modelo sem restrições permitiu que o algoritmo se ajustasse aos dados de forma mais flexível, resultando em menor erro de treinamento.
2. In optimization and machine learning, a model where variables can take any value within their mathematical domain without imposed restrictions
Unlike the constrained model, the unconstrained model did not require non-negative coefficients.
Ao contrário do modelo restrito, o modelo sem restrições não exigia coeficientes não-negativos.
3. A statistical or regression model with no predetermined boundaries or limitations on parameter values
The unconstrained model provided a baseline for comparison with the regularized version.
O modelo sem restrições forneceu uma linha de base para comparação com a versão regularizada.
This is primarily technical terminology used in academic and professional contexts in both Brazil and the USA, particularly in statistics, machine learning, and data science fields. The term reflects the mathematical and computational terminology standard across English and Portuguese-speaking scientific communities.
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