parameterübergreifende
Parameterübergreifende refers to a concept in computing and engineering where a process, algorithm, or system considers or operates across multiple, often unrelated, parameters simultaneously. Instead of optimizing or analyzing individual parameters in isolation, parameterübergreifende approaches aim to understand the interactions, dependencies, and combined effects of these parameters. This is particularly relevant in fields like machine learning, where models learn from vast datasets with numerous features (parameters). Optimizing a single feature might not yield the best overall performance if it neglects the influence of other features.
In software development, parameterübergreifende considerations can arise when designing functions or APIs that accept multiple arguments.