Manual tuningΒΆ

The process of learning a predictive model is driven by a set of internal parameters and a set of training data. These internal parameters are called hyperparameters and are specific for each family of models. In addition, a specific set of hyperparameters are optimal for a specific dataset and thus they need to be optimized. In this notebook we will use the words β€œhyperparameters” and β€œparameters” interchangeably.