Assuring model selection, training and hyperparameter decisions

Overview

Examines assurance of the decisions that turn training data into a model, including model structure, training and hyperparameters. It relates these choices to safety, performance and resource requirements, identifying the model and a performance-deficit report as outputs for later verification and data improvements.