Static refers to something performed once or updated infrequently rather than continuously. In machine learning, it can describe models trained offline, static training pipelines, or cached inference results that are not generated on demand.
Something done once rather than continuously. The terms static and offline are synonyms. The following are common uses of static and offline in machine learning: - static model (or offline model) is a model trained once and then used for a while. - static training (or offline training) is the process of training a static model. - static inference (or offline inference) is a process in which a model generates a batch of predictions at a time. Contrast with dynamic.