GridSearchCV (1) 썸네일형 리스트형 [Sklearn] Hyperparameter Tuning using Grid Search 1. What is Hyperparameter Tuning? Hyperparameter is a characteristic of a model that is external to the model and whose value cannot be estimated from data. The value of the hyperparameter has to be set before the learning process begins. For example, c in Support Vector Machines, k in K-Nearest Neighbors, the number of hidden layers in Neural Networks. Grid Search is exploratory way to find hyp.. 이전 1 다음