Ehdotuksen tiedot

Training data is the building block of machine learning models. These models now constitute the majority of machine learning applications in Earth science. Training data is used to train AI/ML models, and to then validate model results. Formalizing and documenting the training data by characterizing the training data content, metadata, data quality, and provenance, and so forth is essential. This document describes work actions around training data: