Hyperparameter Machine Learning
noun
Definition: A configuration value set before training (or controlled externally) that governs the learning process or model structure, such as learning rate, depth, or batch size [Google ML Glossary].
Example in context: “Adding the number of prompts as a hyperparameter could introduce additional complexity to the model and the training process.” [Liang et al. 2024]
Related terms: training hyperparameter, hyperparameter tuning