Modelrelated

Modelrelated is a nonstandard compound adjective used in machine learning, data science, and related software engineering contexts to describe items, metadata, or processes that pertain to machine learning models. It is often seen as a tag, label, or folder naming convention in repositories, data catalogs, and MLOps pipelines. Because it is not part of an established taxonomy, its exact meaning can vary by organization, but it generally covers artifacts involved in the lifecycle of a model.

Typical modelrelated artifacts include trained weights and architecture definitions, hyperparameters, data provenance for training and validation, evaluation results, model versioning and lineage, deployment configurations, and monitoring setups. Documentation such as model cards or risk assessments may also be described as modelrelated. In practice, labeling assets as modelrelated helps teams organize and discover items that influence, or are influenced by, model behavior.

In usage, the term is pragmatic rather than formal and tends to reflect organizational practices in data catalogs, code repositories, and MLOps platforms. It is often grouped with other qualifiers like data-related or code-related to support asset management and governance. Related concepts include model governance, model registry, experiment tracking, and data lineage, which together aid in tracing the origins and impact of models within an system.