In machine learning, a hyperparameter is a parameter external to the ML model, which controls the learning process. A hyperparameter is not related to the internal workings of the ML model but rather indirectly affects the model’s internal parameters via the ML model training (fitting) process. The usage of hyperparameter types vary depending on the … Read more