Grid testing
Let us consider a typical classification problem. Assume you have a dataset and you divide it into training (T) and validating (V) datasets. Here you are trying to solve an optimization problem, let's say P, in which one is trying to reduce the training error in addition to regularization terms, where the optimization problem is a function of model parameter m, training sample T, and some hyperparameters 
and 
. Solving for given and
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