The Lifecycle of a Model: From Birth to Transformation
This essay aims to delve into the comprehensive journey of a model, from its inception to its potential cessation, highlighting the key stages of its lifetime and the factors that contribute to its transformation.
Understanding the lifetime of a model is essential for keeping physical and digital systems up to date and ensuring satisfactory performance.
DEPLOYMENT
The birth of a model occurs during its construction, training, fitting, or estimation. It begins with a defined analytical aim, supported by data, algorithms, and the computational infrastructure. The model’s purpose is of utmost importance, as it determines the trajectory of its lifetime. Models can serve various tasks, such as prediction, interpretation of indicators, or simulation of what-if scenarios. Whether the model’s usage is brief and straightforward or complex, time-consuming, and long-term, its purpose shapes the course of its existence.
Thus, the model’s lifetime begins when it is trained and saved for deployment.
