hyperparameter search Synonym

Synonyme hyperparameter search

hyperparameter optimization - hyperparameter tuning - model selection


Hyperparameter search is the process of systematically exploring, selecting, and evaluating different combinations of hyperparameters for a machine learning model in order to maximize its performance on a given task. Unlike model parameters, which are learned during training, hyperparameters control aspects such as learning rate, regularization strength, network depth, or number of trees. Common strategies include grid search, random search, Bayesian optimization, and evolutionary approaches. Effective hyperparameter search can significantly improve model accuracy, robustness, and generalization, but it can also be computationally expensive, so techniques like early stopping, search space reduction, and parallelization are often used.

Category: MachineLearning


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