March 2019
Intermediate to advanced
642 pages
22h 54m
English
In machine learning algorithms, various parameters are obtained during the learning process. In contrast, hyperparameters are set before the learning process begins. Given these hyperparameters, the training algorithm learns the parameters from the data. In this recipe, we will extract hyperparameters for a model based on an SVM algorithm using the grid search method.
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