ML model training

ML-R1.7-01M: Metadata describes ML model training process. Test: 1) The learning process is explained. 2) The hardware on which the learning process runs is named. 3) The result of the learning process is explained and described.

Principle: R

Rationale: The training process of the ML model should also be described in the metadata. Several aspects of training should be taken into account, such as the preprocessing, actual training, the test process for configuring the model, and so on. The infrastructure of the training environment should also be described.

FAIR Metrics: R1.7