Abstract
The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “ “Aspects generally relate to systems and methods for machine learning model mana gement. “Testing of a machine learning (ML) model is a crucial step in the model’s path to operation in a production environment. Model output must be collected and ana lyzed to determine that the output is falling within acceptable statistical and business ranges. Generally, newly trained, or retrained models are tested in an offline environment due to the risk of introducing an untested model into a prod uction business environment. But offline testing is suboptimal because the data is often synthesized or stale. Additionally, the promotion timeline for a freshl y trained model is lengthy and can contribute to models that lag behind current trends in the a model’s field of operation.”
NETL
NSTL