grid search
[/ɡrɪd sɜːrtʃ/]
nounpl: grid searches
busca em grade
1. An exhaustive search algorithm that evaluates all possible combinations of hyperparameters within specified ranges to find the optimal set for a machine learning model.
The data scientist used grid search to find the best parameters for the neural network.
O cientista de dados usou busca em grade para encontrar os melhores parâmetros para a rede neural.
2. A systematic method of testing multiple parameter combinations by creating a multidimensional grid of values.
Grid search is computationally expensive but guarantees finding the best combination within the defined parameter space.
A busca em grade é computacionalmente cara, mas garante encontrar a melhor combinação no espaço de parâmetros definido.
Grid search is fundamental terminology in machine learning and data science communities worldwide. It originated in computer science and is used by Brazilian, Portuguese, and American researchers and practitioners. The term reflects the technical nature of machine learning development and is typically used in academic and professional settings rather than colloquial speech.
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