Explain the relation between inputs, classes, outputs and mapping
On the same note, how the relation between how inputs (or features) and outputs (or labels) is set was cumbersome. Some participants tried to train the same model with a different number of inputs.
Recommendation: In the case of composite labels (e.g. multiple regression outputs associated to the parameters of a synthesiser), it would be helpful to explain incrementally the rationale behind this, specially given this is one element that originates from our domain of practice and that makes our API highly opinionated.