trainables

Trainables refer to elements within a system, often in the context of artificial intelligence, machine learning, or video games, that are capable of learning or improving through experience or training. In machine learning, a trainable model is an algorithm whose parameters are adjusted based on input data to perform a specific task, such as classification or prediction. The process of adjusting these parameters is called training, where the model learns patterns and relationships from the data.

In video games, trainables might be characters, creatures, or units that can be developed or enhanced by the player over time. This development could involve gaining experience points, acquiring new skills, or improving existing abilities. The goal is often to make these units more effective in combat or other gameplay mechanics. The concept emphasizes the dynamic nature of these elements, implying they are not static but rather evolve or adapt. The effectiveness or capability of a trainable entity is typically a direct result of the training or learning process it has undergone.